JP6510196B2 - Image interpretation report creation support device - Google Patents

Description

  Embodiments of the present invention relate to an interpretation report creation support apparatus.

  The interpretation report is one in which findings are put together as a report when image diagnosis is performed based on a medical image or the like. As an apparatus which supports creation of this interpretation report, an interpretation report creation support apparatus is mentioned, for example.

  The medical image is acquired by imaging the subject with a medical imaging apparatus such as, for example, an X-ray computed tomography apparatus (CT) or a magnetic resonance imaging apparatus (MRI). The photographed medical image is stored in a medical image storage device.

  A medical image storage apparatus and an image interpretation report creation support apparatus are connected to the medical image capturing apparatus via a network.

  The medical image storage device stores the captured medical image. The image interpretation doctor acquires a medical image from the medical image storage device using the diagnostic reading report creation support device, and inputs the finding for the medical image in the finding section of the report. The interpretation report may be called "report" or simply "report".

  The image interpretation report is typically created by an image interpretation doctor by manually inputting information into the image interpretation report creation support apparatus. Some diagnostic reading report creation support devices have a function to support this creation. An example of this function is a fixed phrase input function. The fixed phrase input function is a function that enables selection of fixed phrases to be input in the remarks column. The fixed phrase input function is used by, for example, a fixed phrase that is often input in the findings column is registered in advance, and the registered fixed phrase is selected by the radiologist.

  The image interpretation doctor refers to the information at the time of the examination of the subject and the information at the time of the image operation (hereinafter, these pieces of information may be collectively referred to as "information at the time of examination etc.") to create a finding. When selecting the type of the fixed text, the radiologist selects the fixed text by referring to the information at the time of examination and the like, and creates a finding based on the fixed text.

JP, 2011-186828, A

  However, in the case where there are a plurality of candidates for the selected fixed phrase, the task of selecting the fixed phrase having the content corresponding to the finding out of them is complicated. Therefore, a great deal of time was spent on the work.

  An embodiment solves the above-mentioned subject, and an object of the present invention is to provide an interpretation report creation support device capable of shortening the time required to create an interpretation report.

In order to solve the above-mentioned subject, an interpretation report creation support device of an embodiment is provided with a storage means, an analysis means, a fixed phrase specification means, and a report creation means. The storage means stores fixed phrase information including fixed phrases of an interpretation report. The analysis means analyzes the medical image, and outputs analysis information including an analysis type indicating the type of analysis performed on the medical image and information indicating an analysis result of the medical image . Fixed text identifying means, based on the analysis information of the medical image has been analyzed by the analysis means identifies a fixed sentence corresponding to the medical image from the fixed sentence information stored in the memorize means. The report creation means creates an interpretation report including the identified fixed phrase. Information indicating the analysis result of a substitutable portion specifying portion for specifying the position of the substitutable portion in the fixed form sentence specified by the fixed form sentence specifying means, and the specified replaceable portion of the specified fixed form sentence And a substitution part to be substituted by

FIG. 1 is a block diagram showing an image diagnostic system including a configuration of a diagnostic reading report creation support device according to a first embodiment. FIG. 2 is a block diagram showing a detailed configuration of an interpretation report creation support device of the first embodiment. The flowchart which showed an example of the flow of the processing which produces a diagnostic report using the diagnostic report creation assistance apparatus of 1st Embodiment. Figure showing an image viewer. The figure which expanded a part of FIG. The figure which showed an example of measurement of the medical image displayed on the image viewer. A table showing fixed phrase lists displayed in the image viewer. The figure which shows the image viewer by which the medical image to which the completed fixed phrase was affixed was shown. The figure which showed an example of the interpretation report displayed on the image viewer. The flowchart which showed an example of the flow of the process which produces an interpretation report by the interpretation report creation assistance apparatus of 1st Embodiment. A table showing an example of a fixed phrase information table. FIG. 7 is a block diagram showing a functional configuration of an interpretation report creation support device of the second embodiment. The flowchart which showed an example of the flow of the process which produces an interpretation report by the interpretation report creation assistance apparatus of 2nd Embodiment. The flowchart which showed an example of the flow of the process which produces an interpretation report by the interpretation report creation assistance apparatus of 2nd Embodiment. A table showing an example of a use fixed phrase information table. FIG. 13 is a block diagram showing a functional configuration of an interpretation report creation support device of the third embodiment. The flowchart which showed an example of the flow of the process which produces the diagnostic report by the diagnostic report creation assistance apparatus of 3rd Embodiment. The flowchart which showed an example of the flow of the process which produces the diagnostic report by the diagnostic report creation assistance apparatus of 3rd Embodiment. The figure which shows the spine which developed scoliosis.

First Embodiment
[Interpretation report creation support device]
An interpretation report creation support apparatus 10 according to this embodiment will be described with reference to the drawings.

〔overall structure〕
FIG. 1 is a functional block diagram showing an image diagnostic system 1 including an interpretation report creation support device 10 according to the first embodiment.

  As shown in FIG. 1, in addition to the interpretation report creation support device 10, the image diagnosis system 1 includes a medical image storage device (PACS; Picture Archiving and Communication System) 2, a medical image reference device 3, and a report as needed. The server 4, the client terminal 5, the web server 6, the hospital information system (HIS) 7, the information management system (RIS: Radiology Information System) 8, and the medical imaging apparatus 9 can be provided. These are mutually connected by a network.

  An example of the flow of processing when diagnosing a patient in the imaging diagnostic system 1 will be shown below. First, the medical doctor issues an examination request (examination order) at the terminal of HIS 7 while considering the condition of the patient. This inspection order is digitized and transmitted to RIS 8 by the network. The radiographer confirms the examination order on the terminal of RIS 8 and photographs the patient by the medical imaging device 9. A medical image is generated by this imaging. The generated medical image is transferred to the medical image storage device 2 and stored and managed in accordance with the standard of Digital Information and Communication in Medicine (DICOM) which is a standard communication standard of medical information.

  The image interpretation doctor acquires a specific medical image from the medical image storage device 2 and observes it with the medical image reference device 3. The image interpretation doctor performs the image interpretation (screening of the findings in the medical image) together with the observation, and prepares an interpretation report (report) that summarizes the results of the image interpretation. The image interpretation doctor performs interpretation based on the examination purpose indicated by the medical department doctor, and describes a response sentence for the examination purpose. In addition to the contents related to the purpose of examination, the image interpretation doctor notes that he / she noticed about the lesion shown in the medical image. Therefore, sentences other than the response sentence for the purpose of examination are described in the sentences entered in the findings section of the interpretation report. The generated interpretation report is stored in the report server 4. The diagnostic reading report and the link information for reading out the medical image are stored, for example, in the web server 6 constituting the hospital image reference system. In this case, when an instruction to read out the diagnostic reading report is issued, the web server 6 is referred to, the diagnostic reading report is read from the report server 4, and the corresponding medical image (key image) is read from the medical image storage device 2.

  The image interpretation doctor uses the image interpretation report creation support device 10 to create an image interpretation report. Details of the diagnostic reading report creation support device 10 will be described later.

  A user including a medical department doctor accesses the medical image storage device 2 and the web server 6 from the terminal of the HIS 7 installed in the hospital or the client terminal 5 using a web browser. By this operation, the user can easily refer to the medical image and the diagnostic reading report stored in the medical image storage device 2, the report server 4, the web server 6 and the like.

  Next, the configuration of the diagnostic reading report generation supporting apparatus 10 will be described with reference to FIG.

  The control configuration of the diagnostic reading report creation assistance apparatus 10 at least includes a storage unit 11, an analysis unit 12, a fixed phrase identification unit 13, and a report creation unit 14.

  The diagnostic reading report creation supporting apparatus 10 has a function (fixed phrase pattern extraction function) of extracting a fixed phrase based on a combination of specific information (described later) when attempting to use the fixed phrase at the time of interpretation report creation. This function is executed with reference to the information (described later) stored in the storage unit 11 as appropriate. Specific information is a keyword that is referred to at the time of interpretation report creation.

  In addition, the diagnostic reading report creation supporting apparatus 10 has a function (automatic input function of analysis results and the like) of automatically inputting measurement results, analysis results, and the like into the selected fixed text at the time of reading a diagnostic report. The measurement result, the analysis result, and the like are acquired, for example, by performing measurement, analysis, and the like by the analysis unit 12 based on the image displayed on the display unit 16. The diagnostic reading report creation support device 10 further has a function (a diagnostic reading report creation function) of pasting the fixed text selected in the medical image on a diagnostic reading report or the like. These functions are executed by the report creation unit 14.

  The diagnostic reading report generation supporting apparatus 10 may have a function in which at least two of the functions listed above are combined. The function is, for example, a function in which a fixed phrase pattern extraction function and an image interpretation report generation function are combined.

[Functional configuration of interpretation report creation support device]
FIG. 2 is a block diagram showing an example of a functional configuration of the diagnostic reading report generation supporting apparatus 10 according to this embodiment.

  As shown in FIG. 2, the interpretation report creation support apparatus 10 of this embodiment includes a storage unit 11, an analysis unit 12, a fixed phrase identification unit 13, a report creation unit 14, a control unit 15, and a display unit 16. And the operation unit 17.

<< storage part 11 >>
The storage unit 11 stores in advance identification information, fixed phrase information, and correspondence information. In addition to the above information, the medical image may be stored in advance in the storage unit 11, and the medical image read from the medical image storage device 2, the report server 4, the web server 6 or the like is temporarily stored. It may be stored. The storage unit 11 corresponds to an example of a storage unit.

(Specific information)
The specific information includes image acquisition information when the medical image is acquired, analysis information (measurement information, diagnosis support information, etc.), patient's physical information, patient's medical record information such as medical history information. The specific information is used for specifying a fixed phrase and replacing a specific character string or the like in the fixed phrase. In addition, specific information may be used as a keyword referred at the time of an interpretation report.

  The image acquisition information includes, for example, imaging information when a medical image is acquired. The imaging information is information relating to a medical image acquired by a medical image diagnostic apparatus or the like. The imaging information includes, for example, the type of modality used for acquiring the medical image, the type of the region of the subject in the acquired medical image, and the like. As the type of modality, any type of medical image diagnostic apparatus capable of acquiring a photographed image of a subject may be used, and various modalities are appropriately selected. Specific examples of the type of modality include an X-ray diagnostic apparatus, CT, MRI, and an ultrasonic diagnostic apparatus. The information indicating the type of modality may include information on the imaging direction (the direction of the imaging cross section). Further, as the type of the region of the subject, any type may be used as long as it indicates at least a part of the body of the subject. Specific examples of types of parts of the subject include the whole body, head (brain, mouth, bone (skull, cervical spine etc), neck (esophagus, bone (cervical spine etc)), chest (heart, lung etc) Organs, bones (spine, ribs, sternum etc.), abdomen (stomach, organs such as liver, bones (lumbar spine, hip bone etc)), legs (femoral bones, knees etc) And arms (bones such as arm bones, joints such as arms, etc.). Note that each piece of shooting information is not limited to the shooting information for one shooting, and includes a set of shooting information composed of shooting information for a plurality of shootings.

  The analysis information includes an analysis result by the analysis unit 12 described later, an analysis type (measurement type), an analysis mode (measurement mode), and a character (diagnostic support information or the like). The analysis results include the measurement results. The measurement result is a result of measurement of a predetermined region in a medical image, and is indicated by, for example, numerical information such as distance, area, and angle. The analysis type is information indicating the type of analysis performed on the medical image. The analysis type is indicated by, for example, characters, numbers, symbols, and character strings including these. As a case where the analysis result by the analysis unit 12 is indicated by a numerical value, the following examples can be mentioned. A first example is a numerical value indicating at least a partial region of a medical image. As a second example, an analysis result (a numerical value, a character string such as diagnostic support information) based on this numerical value is mentioned. The measurement mode is a measurement format for obtaining measurement results in the predetermined area. For example, when the measurement type "distance" is measured, the measurement is performed in the measurement mode "longitudinal" and the measurement mode "horizontal".

(Fixed form information)
The fixed phrase information includes fixed phrases for creating an interpretation report. Hereinafter, fixed phrase information indicates reference information (fixed phrase ID etc.) for reading one or more fixed phrases, or information including the fixed phrase itself. The fixed phrase information only needs to include at least one fixed phrase for creating an interpretation report, but it is preferable that a plurality of fixed phrases be included. The fixed phrase information has, for example, a fixed phrase including a replaceable portion replaceable by predetermined information. The predetermined information is, for example, characters, numbers, symbols, and character strings including these. In this case, the substitutable portion is also a character string, but the substitutable portion is configured by a specific character string (specific symbol or the like). As specific examples of this symbol, "「 "," ● "," △ "," ▲ "," □ "," ■ "," ◇ "," ◆ "and the like can be mentioned. The specific symbol is not limited to the ones listed above as long as it can be replaced by a character string, and may be various characters, images, and the like. In addition, it is desirable that the characters used in this case be of a type not used for describing findings, comments, and the like. The replaceable part may be a blank part, and the fixed phrase is completed by inserting, for example, a character, a numerical value, a symbol, a character string including these, etc. in the blank part.

  Further, the fixed phrase information may include a fixed phrase selected in the past or a combination of two or more fixed phrases. Examples of the fixed-form sentence selected in the past include, for example, those selected in the past in the diagnostic reading report generation supporting apparatus 10. This selection may be manual or automatic. In addition, the fixed phrase information may include a fixed phrase group configured of a plurality of fixed phrases.

(Correspondence information)
Correspondence information is information which matches specific information and fixed phrase information. The correspondence information may associate a combination of a plurality of specific information with a fixed phrase. As an example, the correspondence information associates the analysis type (measurement type; measurement distance etc.) in the specific information with the type (fixed form ID etc.) of the fixed phrase. As the correspondence information, for example, there is an information table (see FIG. 11) or the like in which the correspondence between the type of the fixed phrase and the specific information is expressed in a matrix form. The information table is configured to include, for example, fixed phrase information and at least one specific information.

  Further, the correspondence information may include, for example, information indicating a past selection result regarding two or more fixed phrases corresponding to the specific information. As a past selection result, for example, a combination of fixed phrases selected in the past in the diagnostic reading report generation supporting apparatus 10 may be mentioned. The selection result may be manually selected or automatically selected. Further, in the correspondence information, specific information may be associated with a fixed phrase group configured of a plurality of fixed phrases.

  Next, a specific configuration example of the storage unit 11 will be described with reference to FIG. The storage unit 11 includes, for example, a medical image storage unit 11a, an imaging information storage unit 11b, a correspondence information storage unit 11c, a fixed phrase information storage unit 11d, an analysis information storage unit 11e, and a history information storage unit 11f. Including.

(Fixed sentence information storage unit 11d, history information storage unit 11f)
For example, at least fixed phrase information as mentioned above is stored in the fixed phrase information storage unit 11 d. The history information storage unit 11 f stores history information such as operation history and control history in the diagnostic reading report creation assistance apparatus 10. The history information is the contents of the operation and control performed in the diagnostic reading report creation support apparatus 10. As a specific example, the case where a fixed phrase is pasted on a medical image in the diagnostic reading report generation supporting apparatus 10 will be described. In this case, the history information includes fixed phrase information specified by the fixed phrase identification unit 13 in the past, information on the sticking position (such as coordinates on the screen) of the fixed sentence on the medical image (pasting position history information) Information on medical images attached (photographing information (photographing history information), etc.), analysis information such as measurement types (analysis history information), information on reading of medical images attached (interpretation history information), etc. are included .

(Photographing information storage unit 11b, analysis information storage unit 11e, correspondence information storage unit 11c)
For example, at least the imaging information as described above is stored in the imaging information storage unit 11b. The analysis information storage unit 11 e stores analysis information including the analysis result (measurement result) and the analysis type (measurement type) as described above. In addition, a storage unit may be provided to store patient's physical information and patient's medical record information such as medical history. Further, the correspondence information storage unit 11 c stores, for example, the correspondence information as described above. Further, the correspondence information storage unit 11c may be configured to include, for example, the photographing information storage unit 11b and the analysis information storage unit 11e. In this case, the correspondence information storage unit 11c stores the fixed phrase information, the photographing information and the analysis information, and the correspondence information in which the correspondence of these pieces of information is integrated.

<< analysis part 12 >>
The analysis unit 12 has a function of analyzing a medical image. For example, the analysis unit 12 measures or analyzes at least a part of a medical image to generate analysis information (a measurement result, an analysis result, or the like). The measurement result or analysis result to be output is, for example, numerical information such as a measurement distance or a measurement angle, or information for generating diagnosis support information. Further, in the analysis result, a measurement position or a measurement range and an analysis type (measurement type) are associated. When the analysis unit 12 generates analysis information as a measurement result on a medical image or generates diagnosis support information based on the measurement result, the measurement result is obtained by the measurement unit 18 described below. The analysis unit 12 corresponds to an example of analysis means.

  The measuring unit 18 measures a predetermined area in the medical image displayed on the display unit 16. By this measurement, for example, information in a desired range can be obtained from the image of the subject displayed on the display screen. This information is, for example, numerical information indicating a distance, an area, an angle, and the like. The measurement unit 18 is operated by the operation unit 17 or the like via the control unit 15. In addition, the measurement unit 18 may be provided outside the diagnostic reading report creation support device 10. In addition, the measuring unit 18 may be operated by a control unit and an operation unit provided separately from the diagnostic reading report generation supporting apparatus 10.

  As shown in FIG. 2, the analysis unit 12 includes an analysis result output unit 12 a and an analysis type specification unit 12 b in addition to the measurement unit 18. The analysis result output unit 12 a outputs the analysis result or the measurement result of the medical image by the analysis unit 12 to the fixed phrase identification unit 13, the report creation unit 14, and the like.

  The analysis type specifying unit 12 b specifies an analysis type (measurement type) when the medical image is analyzed by the analysis unit 12, and outputs the analysis type (measurement type) to the fixed phrase identification unit 13, the report generation unit 14, and the like. The analysis type is information indicating the type of analysis performed on the medical image. The analysis type is indicated by, for example, characters, numbers, symbols, and character strings including these. As a case where the analysis result by the analysis unit 12 is indicated by a numerical value, the following examples can be mentioned. As a first example, there is a numerical value (measurement result) indicating at least a partial region of a medical image. As a second example, there is an analysis result (numerical value) based on this numerical value (measurement result). On the other hand, character strings, such as diagnostic assistance information, are mentioned as an example in case an analysis result is shown by except numerical value.

  As an example, when the size, width, interval, depth, angle of designated part, etc. of a predetermined part in the subject are measured, the numerical value obtained as the measurement result by the analysis part 12 (measurement part 18) is an analysis result output part 12a outputs. Further, the analysis type specifying unit 12 b specifies and outputs an analysis type (measurement type) such as distance, area, volume, angle, and the like.

  As another example, when the analysis unit 12 analyzes the measurement result and generates an analysis result such as diagnosis support information, the analysis result output unit 12 a analyzes the diagnosis support information and the like indicated by characters and character strings. Output the result. Further, the analysis type (measurement type) such as the disease name at the predetermined site, the condition such as the degree of progression, and the presence or absence of the disease are specified and output by the analysis type specifying unit 12b. Specific examples of this analysis include outputting a character string such as “defect” when the measurement result exceeds a preset threshold value, and outputting a character string such as “good” when the measurement result does not exceed the threshold.

<< fixed form identification part 13 >>
The fixed phrase specification unit 13 has a function of specifying a fixed phrase based on the correspondence information and outputting the fixed phrase to the report creation unit 14 as necessary. Identification of a fixed phrase is performed as follows. The fixed phrase identification unit 13 refers to the correspondence information stored in the storage unit 11 based on the medical image or the identification information on the subject, and identifies the corresponding fixed phrase. As an example, the fixed phrase identification unit 13 specifies fixed phrase information (fixed phrase or fixed phrase ID) based on imaging information and correspondence information attached to a medical image. As another example, the fixed phrase identification unit 13 may specify the fixed phrase based on the measurement type and the correspondence information output from the analysis unit 12 or the like. As another example, the fixed phrase identification unit 13 may specify the fixed phrase based on the photographing information and the measurement type and the correspondence information.

  The fixed phrase specification unit 13 may specify the fixed phrase group or the fixed phrase (combination of fixed phrases) selected in the past, in addition to the fixed phrase specification. Or identification information (a fixed phrase ID etc.) which shows these may be specified. When one fixed phrase group is specified by the fixed phrase identification unit 13, one fixed phrase is selected from the fixed phrase group and output to the report creation unit 14. This selection is made by the reader or automatically. The process of automatically performing the selection is performed by the fixed phrase selection unit 13a described later.

  As another example, the fixed phrase identification unit 13 specifies the fixed phrase selected in the past based on the identification information as the unique information of the patient and the information indicating the selection result of the fixed phrase in the past included in the correspondence information. You may process. Alternatively, when identification information such as a fixed phrase ID is specified, the fixed phrase is specified based on the identification information. In this case, the fixed phrase identification unit 13 corresponds to an example of fixed phrase identification means.

  The fixed phrase identification unit 13 is configured to include a fixed phrase selection unit 13a. When two or more fixed phrases are specified by the fixed phrase specification unit 13, the fixed phrase selecting unit 13 a selects one fixed phrase from the two or more fixed phrases. For example, the fixed phrase selecting unit 13a acquires the previous measurement result from the report server 4 or the like. Further, the fixed phrase selecting unit 13a selects the fixed phrase from the fixed phrase list 350 by comparing the value of the vertical distance A and the value of the horizontal distance B of the ventricle 311 with the previously measured value. In this manner, the fixed phrase identification unit 13 outputs the fixed phrase selected from among the specified one or a plurality of the fixed phrases to the report creating unit 14.

  However, the present invention is not limited to the above configuration. For example, after two or more fixed phrases are displayed by the display control unit 15a, one of the two or more fixed phrases is selected by the operation unit 17 May be In this case, the selection by the operation unit 17 is performed via the control unit 15.

<< Report Creation Unit 14 >>
The report creating unit 14 identifies a predetermined part of the identified fixed phrases as a replaceable part, and replaces the information of the replaceable part with the predetermined information. This creates an interpretation report. That is, the report creation unit 14 has a function of creating an interpretation report and the like including the fixed phrase input from the fixed phrase identification unit 13. The predetermined information is, for example, information of an analysis result acquired by the analysis unit 12. The identification of the fixed phrase may be performed based on the analysis type and the correspondence information output from the analysis type identification unit 12b. Thereby, the fixed phrase corresponding to the medical image is specified. These processes are executed by each unit described below. The report creation unit 14 corresponds to an example of “report creation means”.

  The report generation unit 14 includes a fixed phrase type determination unit 14a, a replaceable unit specification unit 14b, a replacement unit 14c, and a report generation unit 14d. The fixed phrase type determination unit 14a determines whether a substitutable part exists in the input fixed phrase. As described above, the replaceable part is a part that can replace characters, numbers, symbols, and character strings including these in fixed phrases. As an example, this determination is performed based on incidental information stored incidentally to the fixed phrase. As another example, the fixed form is scanned, and after the character strings constituting the fixed form are specified, this determination is performed based on each specified character string. Here, the fixed phrase type determination unit 14a corresponds to an example of the “determination unit”. The fixed sentence type determination unit 14a may specify the position of the replaceable part in the fixed sentence based on the incidental information or the scan. In that case, the substitutable-part specifying part 14b described later is omitted. The fixed phrase type determination unit 14a or the replaceable unit specifying unit 14b configured to specify the position of the replaceable unit corresponds to an example of the “specifying unit”.

  The report creation unit 14 has an interpretation report creation function of pasting a fixed phrase into a report to complete an interpretation report. The image interpretation report created by the report creation unit 14 includes at least a medical image and character string information necessary for diagnosis. This fixed text forms, for example, at least a part of a finding sentence by being pasted as a character string in a finding entry portion in which a finding is entered in an interpretation report. In addition, this fixed text may be attached to a medical image provided with an annotation as a character string in the annotation to configure at least a part of the comment.

  Further, the selection of the annotation and the determination of the display position of the annotation on the display unit may be performed before analysis of the medical image is performed. In this case, for example, selection of an annotation, determination of a display position of the annotation, and the like are performed based on imaging information, an analysis position of a medical image output from the analysis unit 12, an analysis range, and the like. As an example of this, the case where the size of the ventricle is measured in the interpretation of the cross-sectional image of the brain by CT will be described. The report creation unit 14 first identifies, from the imaging information, a CT cross section which is an imaging type (modality) and a brain which is an imaging region. Next, the report generation unit 14 receives the information on the analysis position and the analysis range from the analysis unit 12, and specifies the position and the range of the ventricle in the medical image. From these pieces of information, the report creation unit 14 identifies the position on the screen on which the annotation is to be provided, the size of the annotation, and the like. In this case, the report generation unit 14 provides the annotation so as to indicate the ventricle of the brain cross-sectional image to be displayed attached to the interpretation report. In this case, the fixed phrase may be pasted as a character string both in the finding entry portion and in the annotation.

(Standard sentence type determination unit 14a)
If it is determined that the replaceable part is not included in the fixed phrase, the fixed phrase type determination unit 14a outputs the fixed phrase to the report generation unit 14d. On the other hand, when it is determined that the substitutable portion is included, the fixed phrase type determination unit 14a outputs the fixed phrase having the substitutable portion to the substitutable portion specification unit 14b. Substitutable portion specification portion 14b specifies the position of the substitutable portion included in the fixed phrase received from fixed phrase type determination portion 14a. The substitutable-part specifying part 14b outputs position information and the like of the substitutable part specified to the substituting part 14c.

  The fixed phrase type determination unit 14a may be included in the fixed phrase identification unit 13, for example. In this case, the fixed phrase type determination unit 14a outputs the determination result to the report generation unit 14.

(Replaceable part identification part 14b)
The substitutable-part identification part 14 b identifies the position of the substitutable part based on the analysis type (measurement type) output from the analysis type identification part 12 b. This specification is performed based on, for example, the analysis type and the correspondence information stored in the storage unit 11. In this case, the correspondence information includes the correspondence between the position of the substitutable portion in the fixed phrase (information indicating the number of characters in the fixed phrase, etc.) and the analysis type (measurement type). As a specific example, in the case where the analysis result is numerical information indicating the measurement distance, the substitutable-part specifying part 14 b specifies the position of the substitutable part in the fixed form sentence. In addition, the substitutable-portion specifying unit 14 b extracts an analysis result (such as a measurement result) from the analysis information based on the analysis type. Furthermore, the substitutable-portion specifying unit 14 b replaces the character string constituting the substitutable portion specified above with the extracted analysis result.

  When there is one replaceable part of the fixed phrase (one group), the replaceable part of the fixed phrase stored in advance is determined by, for example, the analysis type (measurement type). On the other hand, when there are a plurality (plural groups) of substitutable parts of the fixed phrase, the substitutable part is determined based on the analysis mode (measurement mode) in addition to the analysis type (measurement type).

  As another example, the substitutable-part identification part 14 b is based on the information of the substitutable part stored along with the fixed phrase (such as information indicating the number of characters in the fixed phrase, etc.) of the substitutable part. Identify the part that corresponds to the measurement distance. A detailed example will be described in the description of FIG. 11 described later. Here, as an example, in the information attached to the fixed phrase, “the tenth character of the fixed phrase has one replaceable part“ 部 ”. An angle is input to this replaceable part. The case where it is set as ". In this case, the substitutable-part identification part 14 b extracts the measurement result indicating the angle corresponding to the substitutable part from the analysis information inputted from the analysis part 12 based on the incidental information. As a result, this replaceable part is replaced with the measurement result of the angle extracted by the replaceable part specifying part 14b.

  As another example, in the accompanying information, “the first character of the fixed phrase has a first replaceable portion“ 〇 ”, and the fifteenth character has a second substitutable portion“ 部 ” . A distance is input to each of these replaceable parts. The vertical distance is input to the first replaceable part (first group), and the horizontal distance is input to the second replaceable part (second group). The case where it is set as ". In this case, based on the incidental information, the substitutable-part identification part 14b measures the measurement result indicating the distance corresponding to the substitutable part from the analysis information input from the analysis part 12 as the measurement mode (vertical, horizontal) Extract according to. That is, the measurement result (numerical information) corresponding to the measurement type of "measurement of distance" is extracted by the substitutable portion specifying unit 14b in the form of the measurement mode "vertical" and the measurement mode "horizontal". As the extraction result, substitutable portion specifying portion 14b performs numerical value information on a distance corresponding to the vertical direction corresponding to the first substitutable portion, and numerical information on a distance corresponding to the horizontal direction corresponding to the second substitutable portion. Are output to the replacement unit 14c. As a result, the first replaceable part is replaced with numerical value information of the distance corresponding to the vertical, and the second replaceable part is replaced with numerical value information of the distance corresponding to the horizontal by the substitution unit 14 c described later.

(Replacement unit 14c)
If it is determined by the fixed phrase type determination unit 14a that the fixed phrase includes a substitutable portion, the replacement portion 14c replaces symbols and the like that constitute the substitutable portion. The symbols and the like constituting the replaceable unit are automatically replaced by characters, numerical values, symbols, and character strings including these, which are analysis results (measurement results) output from the analysis unit 12. Further, the replaceable part may be a blank part where characters and the like are not displayed. In this case, the blank part is complemented by being filled with the character string, and the fixed sentence is completed.

  That is, the replacing unit 14c replaces the replaceable unit included in the fixed phrase with the analysis result output from the analysis result output unit 12a, and outputs the fixed phrase to the report generation unit 14d. Specifically, the replacing unit 14c replaces the character string forming the replaceable unit with the character string forming the analysis result. Further, the replacing unit 14c performs the above-described replacement at the corresponding position of the fixed phrase based on the position information of the character string configuring the replaceable unit received from the replaceable unit specifying unit 14b.

  The report generation unit 14d receives the fixed phrase and the medical image, and generates an interpretation report including these. The generated interpretation report is output to a report server or the like, and displayed on the display unit 16 as needed. The generation of the diagnostic reading report may be started by pressing a predetermined operation, for example, a generation button, or may be automatically started following the completion of the fixed phrase described above.

  As described above, the automatically input function of the analysis result and the like included in the report generation unit 14 identifies a replaceable unit included in the input fixed phrase. For example, when the fixed phrase input to the report creation unit 14 includes a substitutable portion capable of replacing characters, numbers, symbols, and character strings including these, the fixed phrase is replaced by the automatic input function such as the analysis result. It is determined that the possible part is included. Furthermore, the position, range, and the like in the fixed form sentence of the replaceable part are specified by the analysis result automatic input function and the like. The analysis result automatic input function automatically replaces the corresponding measurement result with the replaceable part included in the fixed phrase. For example, the position of the replaceable part specified by a character, a numerical value, a symbol, a character string including these, etc., output from the analysis unit 12 with respect to the replaceable part of this fixed form by the analysis result automatic input function. , Is automatically replaced in the range. As a result, even when the medical image is read, even if it involves measurement and analysis, it is not necessary to input the result of the measurement and analysis in the finding field or the like. Therefore, the creation efficiency of the interpretation report including the analysis result at the time of interpretation increases dramatically.

<< Control part 15 >>
The control unit 15 is a main control unit of the diagnostic reading report generation supporting apparatus 10. The control unit 15 controls, for example, the analysis unit 12, the fixed phrase identification unit 13, the report creation unit 14, the display unit 16, and the like. The control unit 15 includes a display control unit 15a. The display control unit 15a displays an interpretation report on the display screen of the display unit 16 based on the information on the interpretation report received from the report generation unit 14d. Here, the display control unit 15a corresponds to an example of a display control unit.

<< Display section 16 >>
The display unit 16 may be anything as long as it has a display screen configured to be able to display an image. Examples of the display unit 16 include a CRT, an LCD, an OLED, and an electrophoretic display. Here, the display unit 16 corresponds to an example of a display unit.

<< Operation part 17 >>
The operation unit 17 may be anything as long as the image interpretation report creation support apparatus 10 is configured to be operable, and various input devices can be used as needed. Examples of the operation unit 17 include a mouse, a track ball, a track pad, a pointing device such as a digitizer, and a keyboard. When the operation of the measurement unit 18 is performed using the operation unit 17, for example, the distance is measured on the screen by the drag operation using the pointing device described above. The pointing device also includes, for example, a touch panel, a touch screen, and the like provided in the display unit 16. Here, the operation unit 17 corresponds to an example of the operation means.

[Operation of the diagnostic report creation support apparatus]
Next, the operation of the diagnostic reading report generation supporting apparatus will be described with reference to FIGS. 3 to 9. FIG. 3 is a flowchart showing a flow of processing for creating a diagnostic report using the diagnostic report creation support apparatus 10.

  FIG. 4 is a diagram showing the image viewer 300. As shown in FIG. The diagnostic reading report creation support apparatus 10 acquires a medical image from the web server 6 or the like, and displays the medical image on the display screen of the display unit 16 using, for example, an image viewer 300 as shown in FIG. 4. In the image viewer 300, at least a medical image 310 and a menu 320 are displayed. The medical image 310 shows a cross-sectional image of a human head. The medical image includes an image of the ventricle 311.

  FIG. 5 is an enlarged view of a part of FIG. 4. A menu 320 is shown in FIG. As shown in FIG. 5, the selection of the analysis type (measurement type) is performed, for example, by selecting an annotation process to be used for analysis from the menu 320 displayed on the image viewer 300. Further, from the position of the medical image to which the annotation is added in the annotation processing, the position of the fixed phrase to be attached to the medical image can also be specified. In this case, the position of the fixed phrase is set to, for example, the same position as the annotation, the position near the annotation, or the like. Thereby, the fixed phrase pasting position can be set simultaneously with the annotation processing. in this case. Since "distance" is selected, the characters "distance" are highlighted.

  As an example of the annotation, figures (circles, squares, straight lines, arrows, etc.) can be mentioned. The annotation also includes characters such as a comment attached to the medical image (determination result etc.) and measurement results (distance, angle etc.) by the image interpretation report creation function. Further, before the annotation processing is performed, for example, the fixed phrase information may be read out from the fixed phrase information storage unit 11 d by clicking a fixed phrase icon (not shown) displayed on the image viewer 300.

  The operator uses the operation unit 17 to select an analysis type (measurement type) from a menu or the like displayed on the image viewer 300 of the display unit 16 (step S001). The selection of the analysis type is performed by selecting an appropriate analysis type (measurement type) according to the interpretation application of the medical image from the plurality of analysis types (measurement types) displayed on the menu. Next, the medical image displayed on the display screen is measured based on the measurement type set in step S001 (step S002). The measurement is performed by, for example, the measuring unit 18 with respect to a range selected through an operation using the operation unit 17. Further, this measurement may be automatically performed by performing image processing such as pattern matching in the measurement unit 18.

  FIG. 6 is a diagram showing an example of measurement of a medical image displayed on the image viewer 300. As shown in FIG. This figure shows the case where the distance (size) of the ventricle 311 is measured by the measurement unit 18. As shown in FIG. 6, the image viewer 300 displays an annotation 330 used for measurement and a measurement result 340. The annotation 330 has the shape of an arrow, and its length indicates a distance. From the display on the image viewer 300, the operator can grasp that the vertical distance A of the ventricle 311 is 12 cm and the horizontal distance B is 13 cm.

  The analysis unit 12 analyzes the measurement result as needed, and the analysis result is output from the analysis result output unit 12a. Further, the analysis result includes the measurement result output from the analysis result output unit 12 a when the analysis unit 12 does not analyze. In this case, the analysis result output unit 12a outputs the measurement result input to the analysis unit 12 as it is as an analysis result.

  Next, the fixed phrase identification unit 13 specifies a fixed phrase from the fixed phrase information stored in the fixed phrase information storage unit 11 d, and displays a list of the specified fixed phrases on the display screen (step S003). The fixed phrase identification unit 13 specifies a fixed phrase based on, for example, the imaging information attached to the medical image and the correspondence information stored in the storage unit 11.

  FIG. 7 is a table showing the fixed phrase list 350 displayed on the image viewer 300. As shown in FIG. 7, in this table, fixed phrase content is associated with a fixed phrase title. The fixed phrase title includes at least information on the imaging region in the imaging information. The fixed phrase identification unit 13 determines a fixed phrase including “brain”, “ventricular chamber” and the like from the fixed phrase list 350 based on the information of “human head cross-sectional image” which is the imaging information of the medical image during interpretation. Identify the title. The fixed phrase identification unit 13 further specifies a fixed phrase title related to “measurement of the size of the ventricle” from the measured measurement type (distance). One or more fixed phrases are specified based on the fixed phrase title.

  Next, the fixed phrase selecting unit 13a selects one of the corresponding fixed phrases from the fixed phrase list 350. The fixed phrase is selected, for example, based on the analysis result made in the process of step S002. For example, the fixed phrase selecting unit 13a selects the fixed phrase from the fixed phrase list 350 by comparing the value of the vertical distance A and the value of the horizontal distance B of the ventricle 311 with the previously measured value. As shown in FIG. 7, there is no significant change in the ventricle 311 from the previous measurement value, so from the fixed phrase list 350, "The size of the ventricle is also ●● cm × ● ● cm, there is no change from the previous time, and the enlargement tendency is No fixed sentence is selected.

  Next, the replacing unit 14 c completes the fixed form text by replacing the replaceable part of the fixed form text selected in step S 003 with the measurement result acquired in step S 002. The report creation unit 14 pastes the completed fixed phrase on the medical image displayed on the display screen (step S 004).

  FIG. 8 is a view showing the image viewer 300 in which the medical image 310 to which the completed fixed phrase 360 is pasted is shown. The completed fixed phrase 360 is displayed at a position near the annotation 330 in the image viewer 300. In the fixed phrase 360, the symbol “●● cm × ●● cm” included in the fixed phrase selected from the fixed phrase list 350 is replaced with the value of the vertical distance A and the value of the horizontal distance B of the ventricle 311. Was completed. The “●” corresponds to the replaceable portion, and the values of the vertical distance A and the horizontal distance B correspond to the measurement result corresponding to the measurement mode of a certain measurement type. The process from step S003 to step S004 will be described in detail with reference to FIG.

  When the routine text pasting process is performed on the medical image, the report generation unit 14 outputs the routine text information and the pasting position to a storage device such as the history information storage unit 11 f (step S 005). The storage device stores these pieces of information. The sticking position is a position to be stuck on a medical image displayed on the display screen. In this case, the report creation unit 14 also outputs, for example, imaging information of medical images, measurement types of measurement, analysis types of analysis, and the like to a storage device such as the history information storage unit 11 f. As a result, in a storage device such as the history information storage unit 11 f, information on medical images corresponding to fixed phrase information, pasting position information, and the like, measurement information, and the like are stored as a data set. Also, the processing from step S 004 to step S 005 may be performed simultaneously, for example.

  Next, the report generation unit 14d generates an interpretation report, and displays the generated interpretation report on the display screen of the display unit 16 (step S006). Furthermore, the report generation unit 14d outputs the generated interpretation report to the report server 4 or the like. The interpretation report includes, for example, a patient information entry field and at least one finding field. The interpretation report may include a detailed report field, a progress report field, at least one key image field, an examination information field, and the like, as necessary.

  FIG. 9 is a diagram showing an example of the diagnostic reading report 400 displayed on the image viewer 300. As shown in FIG. As shown in FIG. 9, the diagnostic reading report 400 includes a patient information entry column 410 and a finding column 420. In the finding column 420, the same fixed phrase as that pasted on the medical image is displayed. This fixed text has a hyperlink function. By selecting this hyperlink, the linked medical images are displayed in the image viewer 300.

  Next, the flow of processing from the search of the fixed phrase to the display of the completed fixed phrase on the medical image will be described in detail. FIG. 10 is a flowchart showing an example of the flow of processing for creating a diagnostic report by the diagnostic report creation support apparatus 10. As shown in FIG. 10, this flowchart shows the details of the process between step S003 and step S004 of the flowchart shown in FIG. In step S003A in this flowchart, the fixed phrase is specified using a table (correspondence information; FIG. 11) different from the table (correspondence information; FIG. 7) used in the above step S003.

  First, the processing of steps S001 to S002 of the flowchart shown in FIG. 3 is performed (steps S001 to S002).

  The fixed phrase identification unit 13 reads out the fixed phrase corresponding to the photographing information and the measurement type from the fixed phrase information storage unit 11 d (step S003A). For example, the fixed phrase identification unit 13 specifies the fixed phrase in the fixed phrase information storage unit 11 d with reference to the correspondence information in the correspondence information storage unit 11 c based on the photographing information. Further, as described above, the correspondence information storage unit 11c may be configured to include the photographing information storage unit 11b, the fixed phrase information storage unit 11d, and the analysis information storage unit 11e. In this case, for example, fixed phrase information, shooting information, analysis type (measurement type), and a fixed phrase information table including these pieces of correspondence information are stored in the correspondence information storage unit 11c in advance. The fixed phrase information table 500 corresponds to an example of the correspondence information.

  FIG. 11 is a table showing an example of the fixed phrase information table 500. As shown in FIG. As shown in FIG. 11, in this table, a fixed phrase ID, a fixed phrase title, and fixed phrase content are shown as fixed phrase information. Further, in the fixed phrase information table 500, modalities and photographing parts are shown as photographing information. Further, the fixed phrase information table 500 shows an analysis type (measurement type). In the fixed phrase information table 500, fixed phrase information, corresponding photographing information and measurement types are displayed in one row, and are arranged in the column direction for each fixed phrase. The display in the row direction and the column direction can be appropriately changed in order as needed.

  An example of specification of the fixed phrase using the fixed phrase information table 500 is shown below. First, a medical image including a cross-sectional image of a human head captured by MRI as shown in FIG. 4 is acquired. Next, based on the operation by the operator, a predetermined range (longitudinal direction and lateral direction; for each measurement mode) corresponding to a ventricle included in the medical image is set. The measuring unit 18 measures the distance in each of the set ranges. The analysis result output unit 12 a outputs analysis information including the measurement result for each measurement mode to the fixed phrase identification unit 13 and the report creation unit 14.

  When the fixed phrase identification unit 13 receives imaging information of a medical image (for example, the modality is MR, and the imaging region is the brain), the fixed phrase ID 1234, the fixed phrase ID 1235, and the fixed phrase ID 1201 are identified from the fixed phrase information table 500. Further, when receiving the analysis information, the fixed phrase identification unit 13 selects the fixed phrase ID 1234 and the fixed phrase ID 1235 from the fixed phrase based on the analysis type (distance) included therein. Thus, the fixed phrase identification unit 13 specifies the fixed phrase corresponding to the fixed phrase ID 1234 and the fixed phrase ID 1235 as the fixed phrase corresponding to the interpretation of the medical image.

  Next, the fixed phrase identifying unit 13 determines whether the selected fixed phrase is one or more (step S003B). At this time, if there are a plurality of fixed phrases, the process proceeds to step S003D (step S003B: YES). In step S003D, the fixed phrase selecting unit 13a selects one of the corresponding fixed phrases from the plurality of fixed phrases (step S003D). For example, the fixed phrase selecting unit 13 a selects one of the corresponding fixed phrases from the fixed phrase list including the plurality of fixed phrases displayed on the display unit 16. Alternatively, when the fixed phrase ID 1234 and the fixed phrase ID 1235 are specified by the fixed phrase identification unit 13, the operator specifies the fixed phrase ID 1234 based on the medical image findings etc. instead of the fixed phrase selection unit 13a. It is also good.

  If it is determined in step S003B that the number of fixed phrases is one, the process proceeds to step S003C (step S003B: NO). The selected fixed phrase is output to the report creation unit 14. The fixed phrase type determination unit 14a determines whether the input fixed phrase includes a substitutable part (step S003C). This determination may be performed, for example, based on the analysis type (measurement type) acquired in step S002, or is performed based on the information (attached information) tagged in advance to the input fixed text. May be

  If it is determined in step S003C that the fixed form sentence includes the replaceable part, the replaceable part specifying unit 14b specifies the position of the replaceable part in the fixed form sentence (step S003C: YES, step S003E). The substitutable-part specifying part 14b specifies the position of the substitutable part in the fixed phrase, for example, by referring to the correspondence information based on the analysis type (measurement type) output from the analysis type specifying part 12b.

  Another example of the specification of the position of the replaceable part is a manual specification of the replaceable part. This specification is performed based on the operation input by the operation part 17, for example. For example, the point device constituting the operation unit 17 specifies a substitutable portion by clicking and selecting a specific symbol or the like included in the fixed phrase displayed on the display unit 16.

  Further, the specification of the position of the substitutable portion is automatically performed, for example, by the substitutable portion specifying portion 14b. As an example of this particular method, there is a method of sequentially scanning character strings constituting a fixed phrase. If a part corresponding to the substitutable part is found during scanning of the fixed form sentence, the position of the part in the fixed form sentence is specified, and the position information is output.

  As a specific example, the case where the position of the substitutable portion is specified in the fixed sentence "the size of the ventricle is xxx x OO" will be described. The symbol "o" in this fixed sentence corresponds to the replaceable part. The substitutable-part specifying part 14 b scans sequentially from the first character of the character string constituting the fixed phrase. The substitutable-part identification part 14 b recognizes that the eighth character of the character string is 〇. Since "o" is a symbol corresponding to the substitutable portion, the substitutable portion specifying portion 14b specifies that the eighth character of the character string is a substitutable portion. The substitutable-part specifying part 14 b temporarily stores “8” which means the eighth of the character string. The substitutable-part specifying part 14 b continues this scan and recognizes that the ninth character of the character string is 〇. The substitutable-part specifying part 14b similarly specifies that the ninth character of this character string is a substitutable part. The substitutable-part specifying part 14 b temporarily stores “9” which means the ninth of the character string. The substitutable-part specifying part 14b continues this scan and recognizes that the tenth character of the character string is "x". Since “x” is not a symbol corresponding to the substitutable portion, the substitutable portion specifying portion 14 b specifies that the tenth character of the fixed phrase is not the substitutable portion. The substitutable-part specifying part 14 b continues scanning to determine that the eleventh and twelfth characters of the fixed-form sentence are substitutable parts. The substitutable-part specifying part 14 b temporarily stores “11” which means the eleventh of the character string and “12” which means the twelfth of the character string. After completing this scan, the substitutable-part specifying part 14b outputs information on the position of the substitutable part included in the fixed phrase. The substitutable portion specifying portion 14b outputs [8, 9], [11, 12] which are one-dimensional array data (position data) indicating the position of the substitutable portion included in the fixed form sentence.

  In this example, the portion of the fixed phrase corresponding to [8, 9] is a first replaceable portion, and the portion of the fixed phrase corresponding to [11, 12] is a second replaceable portion. If the character after the first replaceable part is a specific character, the substitutable-part identification unit 14b can also specify the type of analysis result for replacing the substitutable part. For example, if the character following the first replaceable part is “x”, the replaceable part identification unit 14 b identifies the analysis type corresponding to the first replaceable part as the distance. At this time, the substitutable-part specifying part 14b specifies that the second fixed part is included in the fixed text. Also, for example, if the character following the first replaceable part is “°”, the replaceable part identification part 14 b identifies an analysis type corresponding to the analysis result as an angle. The angle may be, for example, the angle from the skull to the eye socket shown in the image viewer 300. At this time, the substitutable-part specifying part 14b specifies that the second fixed part is not included in the fixed phrase. The analysis result as information to be replaced by the replaceable unit and the analysis type thereof are output to the replacement unit 14 c.

  Further, in the above method, the substitutable-part identification part 14 b identifies a specific character string (such as “o”) as the substitutable part, but the embodiment is not limited thereto. For example, there is a method of specifying a predetermined position in a fixed phrase and a blank portion arranged in a predetermined range.

  Next, the replacing unit 14c completes the fixed phrase by replacing the character string constituting the replaceable unit with the character string of the analysis result (step S003F). The analysis result is output from the analysis result output unit 12a. The completed fixed phrase is output to the report generation unit 14d. The report generation unit 14d attaches the completed fixed text to the medical image (step S004). Further, if it is determined in step S003C that the fixed form sentence does not include the replaceable part, the fixed form sentence is output as the completed fixed form sentence to the report generation unit 14d and attached to the medical image (step S003C: NO, step S004).

  Thereafter, the processing described in steps S005 to S006 of the flowchart shown in FIG. 3 is performed (steps S005 to S006).

  The processes of steps S004 to S006 may be performed automatically, for example, or may be performed manually based on the operation of the operation unit 17 or the like. An example of manually creating an interpretation report is shown below. First, the automatic processing is stopped immediately before step S004. At this time, on the display screen, a medical image and a standard sentence completed in a separate column from the medical image are displayed. Next, the operator sets the position at which the fixed phrase is to be attached on the medical image displayed on the display screen. Next, the operator presses the paste button of the fixed phrase displayed on the display screen to paste the fixed phrase at the set position. As described above, by manually starting the process of step S 004, it is possible to check the interpretation report by the operator before completing the interpretation report. This makes it possible to correct, for example, an error in a finding on a medical image at the generation stage of an interpretation report.

<Modification>
Next, an interpretation report creation support apparatus 10 according to a modification of this embodiment will be described. The correspondence information in the diagnostic reading report creation support apparatus 10 includes the correspondence between the identification information of the fixed phrase and the presence or absence of the replaceable part. This correspondence information is, for example, a fixed phrase information table 500 shown in FIG. Based on the identification information of the fixed phrase input from the fixed phrase identification unit 13 and the correspondence information stored in the storage unit 11, the fixed phrase type determination unit 14a determines whether or not the replaceable unit is included in the fixed phrase. It may be determined.

  Further, even if the fixed phrase type determination unit 14a determines whether or not a replaceable part is included in the fixed phrase, based on the analysis type (measurement type) and the correspondence information stored in the storage unit 11. Good. In this case, the fixed phrase type determination unit 14a receives the fixed phrase (or fixed phrase ID) and the analysis type (measurement type) from the analysis unit 12. Further, the correspondence information includes the correspondence between the analysis type (measurement type) and the presence or absence of the replaceable part.

[Operation and effect of the diagnostic report creation support device]
The diagnostic reading report creation supporting apparatus 10 of this embodiment can automatically generate a diagnostic reading report including a medical image, even when the operator does not input characters when creating a diagnostic reading report. In the interpretation report, a fixed-form sentence specified based on the imaging information of the read medical image and the analysis type (measurement type) of the analysis for this medical image is automatically stored in the medical image and the finding section constituting the interpretation report. It is pasted. When the fixed text includes a substitutable portion that can be replaced with a character string such as a numerical value, the substitutable portion may be a measurement result measured by the measurement unit 18 or an analysis result generated by the analysis unit 12. Replaced with content. The fixed-form sentence after replacement is automatically pasted to the medical image and the finding section constituting the interpretation report. That is, a fixed text including the result of the measurement is automatically generated by the measurement operation on the medical image, and the fixed text is automatically attached to the medical image and the finding section constituting the interpretation report.

  As a result, when the reader interprets the medical image displayed on the display screen, a finding sentence (comment) is automatically generated based on the measurement result at the time of reading, etc., and this finding sentence is automatically used as a reading report. Paste to Therefore, it is possible to save time for the reader to create a finding sentence for the measurement result and the like. In addition, it is possible to reduce the omission of comments on the measurement results and the like. As described above, since the finding sentence is automatically attached to the interpretation report, it is possible to reduce the burden on the interpretation person when creating the interpretation report. As a result, it becomes easy to perform a plurality of tasks such as medical image interpretation, measurement, and interpretation report generation at one time. Further, by displaying this comment in the vicinity of the annotation displayed on the medical image, it is possible to easily understand the position at which the medical image was measured and the finding of the measurement result. In addition, since the composition of findings can be unified, it is possible to create an interpretation report that can be easily read by an interpretation requester.

Second Embodiment
[Interpretation report creation support device]
An interpretation report creation support apparatus 10 according to this embodiment will be described with reference to the drawings.

〔overall structure〕
The image diagnostic system 1 including at least the image interpretation report creation support apparatus 10 of this embodiment can be configured in the same manner as the first embodiment.

[Functional configuration of interpretation report creation support device]
FIG. 12 is a block diagram showing an example of a functional configuration of the image interpretation report creation support apparatus 10 according to this embodiment.

  As shown in FIG. 12, in the interpretation report creation support apparatus 10 of this embodiment, the fixed phrase identification unit 13 is configured to include the fixed phrase selection history acquisition unit 13b, and the analysis unit 12 is the analysis history acquisition unit 12c. It is comprised including. The configuration other than the above of the diagnostic reading report creation supporting apparatus 10 of this embodiment is the same as that of the first embodiment.

  The fixed phrase selection history obtaining unit 13 b obtains fixed phrase information specified in the fixed phrase specifying unit 13 in the past from the history information storage unit 11 f. The fixed phrase selection history acquisition unit 13 b outputs the acquired fixed phrase information to the fixed phrase selection unit 13 a as necessary. For example, information such as medical image information, imaging information, and patient information corresponding to the fixed phrase information may be attached beforehand to the fixed phrase information acquired by the fixed phrase selection history acquisition unit 13 b.

  The analysis history acquisition unit 12 c acquires, from the history information storage unit 11 f, a history of analysis on medical images made in the past by the analysis unit 12 (hereinafter sometimes referred to as “analysis history information”). The analysis history acquisition unit 12 c outputs the acquired analysis history information to the fixed phrase selection unit 13 a as necessary. This analysis history information includes, for example, measurement history information. In the analysis history information, information such as an analysis type (measurement type) and an analysis (measurement) position (annotation attachment position) may be attached in advance.

  The fixed phrase selecting unit 13a selects the fixed phrase based on the fixed phrase information, the analysis history information, and the correspondence information. Here, the correspondence information is information that associates analysis history information with fixed phrase information. The correspondence information is stored in advance in the storage unit 11. Below, the specific example which selects a fixed phrase by the fixed phrase selection part 13a is shown. The fixed phrase selecting unit 13a compares the imaging information of the medical image to be read, the analysis type (measurement type), the imaging information of the medical image corresponding to the fixed phrase selected in the past, and the analysis type (measurement type). , Get a fixed phrase that matches these information. Here, "matching" is not limited to perfect matching, but includes substantially matching (identical).

  Further, the fixed phrase selecting unit 13a can also output the position on the medical image to which the fixed phrase is to be attached. The following is a specific example of specifying the position on the medical image to which the fixed phrase is to be attached. The fixed phrase selecting unit 13a selects and outputs a fixed phrase, information indicating the presence or absence of a replaceable portion in the fixed phrase (replaceable portion presence information), and information indicating the position of the replaceable portion in the fixed phrase (replacement) Possible part position information), position information (pasting position information) where this fixed text is pasted on a medical image, etc. are also output. These pieces of information are specified from information incidental to the fixed phrase information, analysis history information (information incidental to it), and the like, and are output to the report creating unit 14.

[Operation of the diagnostic report creation support apparatus]
Next, the operation of the diagnostic reading report generation supporting apparatus will be described with reference to FIGS. 13 to 15. FIG. 13 is a flow chart showing a flow of processing for creating a diagnostic report using the diagnostic report creation support apparatus 10.

  As shown in FIG. 13, the diagnostic reading report creation supporting apparatus 10 selects a fixed-form sentence based on diagnostic reading history information of a medical image displayed on the display screen of the display unit 16. The other processes are the same as the flowchart shown in FIG.

  First, a medical image acquired in the same manner as in steps S001 to S002 of the flowchart shown in FIG. 3 is displayed on the display screen, and the medical image is measured (steps S021 to S022). Next, a fixed phrase is selected based on the displayed image interpretation history information of the medical image (step S 023). Next, the replacing unit 14 c replaces the substitutable portion of the fixed phrase selected in step S 023 based on the measurement result acquired in step S 022. The report creation unit 14 pastes the fixed phrase on the medical image displayed on the display screen (step S024). The subsequent processing can be performed in the same manner as the processing described in steps S005 to S006 in the flowchart shown in FIG. 3 (step S025 to step S026).

  Next, the flow of processing from the search of the fixed phrase based on the history information to the display of the completed fixed phrase on the medical image will be described in detail.

  FIG. 14 is a flow chart showing an example of the flow of processing for creating a diagnostic report by the diagnostic report creation support apparatus 10. As shown in FIG. 14, this flowchart shows details of the processing between step S023 and step S024 of the flowchart shown in FIG.

  First, the processing of steps S021 to S022 in the flowchart shown in FIG. 13 is performed (steps S021 to S022).

  Next, the fixed phrase identification unit 13 determines whether or not there is a medical image that matches the medical image being read in the history information stored in the history information storage unit 11 f (step S 023 A). This determination is performed based on, for example, imaging information attached to a medical image. If there is no image that matches the medical image, the process S which is the process of steps S003 to S006 shown in FIG. 3 is performed (step S023A: NO, step S027). On the other hand, when there is an image that matches the medical image, the analysis history acquisition unit 12c acquires analysis history information corresponding to the read image from the history information stored in the history information storage unit 11f (step S023A: YES, step S023B). “Medical image match” means that the patient, modality, imaging site, etc. substantially match (match to a comparable degree), and does not necessarily indicate that the imaging time points match ( And so on).

  Next, the standard sentence specification unit 13 determines whether or not the acquired analysis history information contains information that matches the analysis information (measurement information) of the medical image being interpreted (step S023C). If there is information matching the analysis history, the corresponding fixed phrase is specified from the history information (step S 023 C: YES, step S 023 D). On the other hand, when there is no matching information, the process S is performed (step S023C: NO, step S027). In addition, before the determination process in the process of step S 023 C, it is preferable that the fixed form text identification unit 13 narrow down the fixed form text based on the photographing information, the analysis type (measurement type), and the like.

  The analysis history is acquired, for example, by the analysis history acquisition unit 12c. The fixed phrase selection history is acquired, for example, by the fixed phrase selection history acquisition unit 13 b. The analysis history may be acquired by a history acquisition unit in which the analysis history acquisition unit 12c and the fixed phrase selection history acquisition unit 13b are integrally configured. For example, a usage fixed phrase information table is stored in the history acquisition unit.

  FIG. 15 is a table showing an example of the use fixed phrase information table 600. As shown in FIG. The use fixed phrase information table 600 is composed of imaging information of a medical image, analysis type (measurement type) in past interpretation of the medical image, and history information including fixed phrase information used in the past. As shown in FIG. 15, in this table, a fixed phrase ID and a substitutable position (blank filling position) are shown as fixed phrase information. Also, in this table, modality and imaging site are shown as imaging information. Further, in this table, measurement types and measurement positions are shown as analysis types. In the use fixed phrase information table 600, fixed phrase information and corresponding history information are displayed in one row, and are arranged in the column direction for each fixed phrase. The display in the row direction and the column direction can be appropriately changed in order as needed.

  An example of selection of a fixed phrase using the used fixed phrase information table 600 is shown. The display screen displays a medical image for image interpretation. The medical image includes a cross-sectional image of a human head taken by MRI as shown in FIG. Next, the operator measures the size of the image of the ventricle contained in the medical image at the position [40, 90] on the medical image, and outputs the information of the measurement to the fixed phrase identification unit 13. The fixed phrase identifying unit 13 acquires information on modality of medical image during image interpretation, information on imaging region, and information on measurement type, and identifies a fixed phrase based on the usage fixed phrase information table 600 or the fixed phrase information table 500 or the like. Do. Since the modality of the medical image being read is MR, the imaging region is the brain, and the measurement type is the distance, the fixed phrase identification unit 13 specifies the fixed phrase ID 1034 and the fixed phrase ID 1035.

  In response to the measurement information from the measurement unit 18, the fixed phrase identification unit 13 selects a fixed phrase based on the position [40, 90] on the medical image at which the measurement was performed. The fixed phrase identification unit 13 specifies the fixed phrase ID 1035 corresponding to the measurement position [40, 90] from the fixed phrase ID 1034 and the fixed phrase ID 1035 identified. Thus, the fixed phrase corresponding to the fixed phrase ID 1035 is selected as the fixed phrase corresponding to the interpretation of the medical image.

  The subsequent processes are performed in the same manner as steps S003C to S003F and step S004 in the flowchart shown in FIG. 10 (steps S023E to S023H, step S024). Further, the processing of steps S0025 to S0026 of the flowchart shown in FIG. 13 is performed.

[Operation and effect of the diagnostic report creation support device]
The diagnostic reading report generation supporting apparatus 10 of this embodiment is the first embodiment except that the fixed phrase selection history acquisition unit 13 b is newly provided in the fixed phrase identification unit 13 and the analysis history acquisition unit 12 c is provided in the analysis unit 12. The configuration is the same as that of the interpretation report creation support device 10 of the embodiment. Therefore, the same effects as those of the first embodiment can be achieved. Furthermore, the fixed phrase selection history acquisition unit 13b can automatically select a fixed phrase based on the history information of the medical image. Therefore, the fixed text corresponding to the interpretation report can be automatically specified without the selection operation by the reviewer. Therefore, it is possible to save time for the reader to select a finding sentence for the measurement result and the like.

Third Embodiment
[Interpretation report creation support device]
An interpretation report creation support apparatus 10 according to this embodiment will be described with reference to the drawings.

〔overall structure〕
The image diagnostic system 1 including at least the image interpretation report creation support apparatus 10 of this embodiment can be configured in the same manner as the first embodiment.

[Functional configuration of interpretation report creation support device]
FIG. 16 is a block diagram showing an example of a functional configuration of the image interpretation report creation support apparatus 10 according to this embodiment.

  As shown in FIG. 16, in the image interpretation report creation support apparatus 10 of this embodiment, the fixed phrase identification unit 13 is configured to include an analysis result comparison unit 13c. The configuration other than the above of the diagnostic reading report creation supporting apparatus 10 of this embodiment is the same as that of the first or second embodiment.

  When analysis is performed on a medical image to be read in the past, the analysis result comparison unit 13c compares the analysis result with the current (interpretation) analysis result. The analysis result comparison unit 13c outputs the comparison result to the fixed phrase selection unit 13a. The fixed phrase selection unit 13a selects a fixed phrase based on the comparison result. The analysis result includes the measurement result for the medical image.

  The analysis result comparison unit 13c determines whether or not information in the past analysis results of the medical image matches (substantially matches) information comparable to the present (interpretation) analysis result. The analysis result comparison unit 13c acquires the analysis result of the medical image under interpretation received from the analysis result output unit 12a. The analysis result comparison unit 13 c further acquires a past analysis result of the medical image from the history information storage unit 11 f via the analysis history acquisition unit 12 c. The analysis result comparison unit 13c compares the analysis result of the acquired medical image during interpretation with the past analysis result, and determines whether there is a match (substantial match) to the extent that comparison is possible. judge. Substantial match indicates, for example, that the modality, the region to be imaged, the analysis type, the analysis position (measurement position), and the like match. In this determination, if there is information that substantially matches, the analysis result comparison unit 13c acquires, for example, the result of the analysis performed immediately before the current analysis. The analysis result comparison unit 13c compares the two acquired analysis results, generates a comparison result, and outputs the comparison result to the fixed phrase selection unit 13a. The fixed phrase selection unit 13a selects a fixed phrase based on the comparison result.

  For example, if the type of analysis of the medical image being read is “measurement of distance”, the analysis result comparison unit 13 c determines whether “distance” has been measured in the past with respect to this medical image. . If it is determined in the analysis result comparison unit 13c that "distance" has been measured at the "same position" in the past with respect to the medical image, the analysis result comparison unit 13c proceeds to one step before the current interpretation. The measurement result of “distance” at “similar position” in the image interpretation performed in “Similar position” is, for example, the position (coordinates) of a reference set in advance in the measurement range. A specific example of the position of the reference includes the center or the end of the measurement range. The analysis result comparison unit 13c compares the two acquired measurement results. The analysis result comparison unit 13c generates a comparison result obtained by comparing two measurement results, and outputs the comparison result to the fixed phrase selection unit 13a. As a specific example, when measuring the size of a tumor in interpretation of a medical image, the analysis result comparison unit 13c compares the two acquired measurement results with each other. Information is output to the fixed phrase selection unit 13a. In response to the comparison result, the fixed phrase selecting unit 13a selects, for example, a fixed phrase corresponding to “progressive failure”. As a fixed phrase corresponding to the “progressive failure”, for example, a fixed phrase including the characters “progressive failure” may be mentioned.

[Operation of the diagnostic report creation support apparatus]
Next, the operation of the diagnostic reading report generation supporting apparatus will be described with reference to FIGS. 17 to 19. FIG. 17 is a flowchart showing a flow of processing for creating a diagnostic reading report using the diagnostic reading report creation support apparatus 10.

  As shown in FIG. 17, the diagnostic reading report creation supporting apparatus 10 compares the current analysis result with the past analysis result in the medical image being read, and identifies the fixed phrase based on the comparison result. The other processes are the same as the flowchart shown in FIG. 3 or FIG.

  First, in the same manner as steps S001 to S002 in the flowchart shown in FIG. 3, the acquired medical image is displayed on the display screen, and this medical image is measured (steps S041 to S042). Next, a fixed phrase is selected based on the analysis result of the past on the medical image displayed on the display screen (step S043). Next, the replacing unit 14 c replaces the substitutable portion of the fixed phrase selected in step S <b> 043 based on the measurement result acquired in step S <b> 042. The report creating unit 14 pastes the completed fixed phrase on the medical image displayed on the display screen (step S044). The subsequent processes can be performed in the same manner as the processes described in steps S005 to S006 in the flowchart shown in FIG. 3 (steps S045 to S046).

  Next, the flow of processing from the search of the fixed phrase based on the history information to the display of the completed fixed phrase on the medical image will be described in detail.

  FIG. 18 is a flow chart showing an example of the flow of processing for creating an interpretation report using the interpretation report creation support apparatus 10. As shown in FIG. 18, this flowchart shows the details of the processing between step S043 and step S044 of the flowchart shown in FIG.

  First, the process from step S040 to step S042 shown in FIG. 17 is performed. After that, the fixed phrase identification unit 13 determines whether or not there is a medical image that matches the medical image being read in the history information stored in the history information storage unit 11 f (step S <b> 043 A). This determination is performed, for example, based on information incidental to the image, shooting information, and the like. In the determination processing of step S043A, when there is no image that matches the medical image being read, processing S which is the processing of steps S003 to S006 shown in FIG. 3 is performed (step S043A: NO, step S047). On the other hand, when there is an image that matches the medical image, the analysis history acquisition unit 12c acquires analysis history information corresponding to the image read from the history information storage unit 11f (step S043A: YES, step S043B). .

  Next, the analysis result comparison unit 13c generates a comparison result by comparing the acquired analysis history with analysis information (measurement information) of the medical image being read (step S043C). As an example, the analysis result comparison unit 13c compares the analysis type (measurement type) of the analysis information with the analysis type (measurement type) of the analysis history. For example, when the analysis type is a distance, the analysis result comparison unit 13c compares magnitudes of distances to determine whether they match, and generates a comparison result.

  The “acquired analysis history” in this case is, for example, analysis information obtained in the previous interpretation. The match between the analysis type in the previous analysis history and the analysis type in the current analysis history does not have to be a perfect match, but may be substantially the same. Next, the analysis result comparison unit 13c outputs the comparison result to the fixed phrase selection unit 13a (step S043D). In addition, before the determination process in the process of step S043A, it is preferable that the fixed form text identification unit 13 narrow down the fixed form text based on the shooting information, the analysis type (measurement type), and the like. The fixed phrase selection unit 13a selects a fixed phrase based on the comparison result received from the analysis result comparison unit 13c (step S043E).

  The subsequent processes are performed in the same manner as steps S003C to S003F and step S004 in the flowchart shown in FIG. 10 (steps S043F to S043I, step S044). Furthermore, the processing of steps S0045 to S0046 of the flowchart shown in FIG. 17 is performed.

  The operation of the diagnostic reading report creation support apparatus of this embodiment will be described using an example using the fixed phrase information table 500 shown in FIG.

  The reader interprets a brain image taken by MRI and sets a predetermined range in the image of the ventricle. The measuring unit 18 measures the predetermined range. The analysis result output unit 12a outputs analysis information including the measurement result and the analysis type, and imaging information of a medical image to the fixed phrase selecting unit 13a. The fixed phrase selection unit 13a specifies the fixed phrase ID 1234, the fixed phrase ID 1235, and the fixed phrase ID 1201 in which the modality is MR and the imaging region is the brain based on the fixed phrase information table 500.

  Furthermore, based on the fixed phrase information table 500, the fixed phrase selecting unit 13a selects the fixed phrase ID 1234 and the fixed phrase ID 1235 whose measurement type is the distance from the specified fixed phrase. The measurement unit 18 outputs the measurement result of the size of the ventricle to the analysis result comparison unit 13c. The measurement unit 18 further outputs position information indicating the position at which the size of the ventricle is measured to the analysis result comparison unit 13c.

  The analysis result comparison unit 13 c receives, for example, measurement information (measurement type, measurement mode, and measurement result), and acquires a measurement history in which the measurement type and the measurement mode match. The acquired measurement history includes information on the measurement result of the size of the ventricle in the previous interpretation. The analysis result comparison unit 13c compares the value of the measurement result included in the measurement information with the value of the measurement result included in the measurement history. For example, in the measurement result (previous image interpretation result) included in the measurement history, it is assumed that the size of the ventricle is “10 cm × 12 cm”. In addition, in the measurement result (the present interpretation result) included in the measurement information, it is assumed that the size of the ventricle is “12 cm × 13 cm”. In this case, the analysis result comparison unit 13c generates a determination result that "the ventricle is in an expanding tendency", and outputs the determination result to the fixed phrase selection unit 13a.

  Based on the comparison result received from the analysis result comparison unit 13c, the fixed phrase selection unit 13a selects a fixed phrase ID 1235 indicating that the ventricle is in an enlargement tendency.

  The subsequent processes are performed in the same manner as steps S003C to S004B of the flowchart shown in FIG. 10, and the processes of steps S0045 to S0046 of the flowchart shown in FIG. 17 are performed.

[Operation and effect of the diagnostic report creation support device]
The interpretation report creation support device 10 of this embodiment is the same as the interpretation report creation support device 10 of the first or second embodiment except that the analysis result comparison unit 13 c is newly provided in the fixed phrase identification unit 13. It has composition. Therefore, the same effects as those of the first and second embodiments can be achieved. Furthermore, the analysis result comparison unit 13c can automatically select a fixed phrase based on a comparison result of analysis information at the time of image interpretation and analysis information at the past image interpretation. Since the fixed phrase selection history acquisition unit 13 b automatically selects the fixed phrase based on the medical image history information, the fixed phrase corresponding to the interpretation report can be automatically specified without the selection operation by the reader. Therefore, it is possible to save time for the reader to select a finding sentence for the measurement result and the like.

  The diagnostic reading report creation supporting apparatus of each of the above embodiments may predetermine a list of similar specific information, and assign weighting to the specific information when the specific information is similar.

  Further, in each of the above-described embodiments, "brain ventricle" is taken as an example of an analysis target, but the present invention is not limited to this example. For example, "spine" can also be an analysis target. FIG. 19 is a diagram showing a spine in which scoliosis has developed. As shown in FIG. 19, the spine 800 has a first end vertebra 810, a second end vertebra 820, and an apex 830, and is connected to the lumbar spine 850. Here, an angle formed by the lumbar vertebra 850 and the first final vertebra 810 is defined as an angle α. Further, an angle formed by the first end vertebra 810 and the second end vertebra 820 is defined as an angle β. The angle β is a complement of the bending angle at the apex 830. In the spine 800 where scoliosis has developed, treatment is required when the measurement angle of the angles α and β is equal to or greater than a predetermined angle. The predetermined angle is, for example, 25 ° to 30 °. The diagnostic reading report creation supporting apparatus selects a fixed phrase based on the predetermined angle.

  While certain embodiments of the present invention have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and the gist of the invention, and are included in the invention described in the claims and the equivalent scope thereof.

DESCRIPTION OF REFERENCE NUMERALS 10 interpretation report creation support device 11 storage unit 12 analysis unit 13 fixed phrase identification unit 14 report creation unit 15 control unit 350 fixed phrase list 500 fixed phrase information table 600 used fixed phrase information table

Claims (6)

A storage unit storing fixed phrase information including fixed phrases of an interpretation report;
An analysis unit that analyzes a medical image and outputs analysis information including an analysis type indicating the type of the analysis performed on the medical image and information indicating an analysis result of the medical image ;
Based on the analysis information of the medical image has been analyzed by said analyzing means, and fixed sentence specifying means for specifying a fixed sentence corresponding to the medical image from the fixed sentence information stored in the storage means,
Report generation means for generating an interpretation report including the fixed text specified by the fixed text specification means ;
The report creation means is
A substitutable part specifying part for specifying the position of the substitutable part in the fixed sentence specified by the fixed sentence specifying means;
And a replacement unit that replaces the specified replaceable unit of the specified fixed phrase with information indicating the analysis result.
Interpretation report creation support device. The typical sentence specifying means, and said analysis information according to the medical image has been analyzed by said analyzing means, based on the shooting information attached to the medical image, to identify the typical sentence corresponding to the medical image,
The interpretation report creation support device according to claim 1. The analysis information, the photographing information, and the fixed phrase information are associated and stored in the storage unit,
The typical sentence specifying means, and said analysis information according to the medical image analyzed by the analyzing means, the fixed phrase is included in the fixed sentence information corresponding to the imaging information attached to the medical image, the medical Identify as a fixed phrase corresponding to the image,
The interpretation report creation support device according to claim 2. The report creation unit further includes a fixed phrase type determination unit,
The typical sentence type determination unit determines whether or not the replaceable unit which is predetermined is included in the fixed phrase which is the specified, the replaceable unit to the fixed phrase by the typical sentence type determination unit If it is determine by the contained, the replacement unit replaces the replaceable unit with the information indicating the pre-Symbol analysis results,
The interpretation report creation support device according to claim 1 . The storage unit stores analysis history information indicating analysis results of medical images analyzed in the past, in association with fixed phrase information including the fixed phrase specified by the fixed phrase identification unit;
The fixed phrase identification means compares the information indicating the analysis result of the medical image analyzed by the analysis means with the analysis history information stored in the storage means, and the analysis is performed based on the comparison result. The fixed phrase included in the fixed phrase information associated with the history information is specified as the fixed phrase corresponding to the medical image.
An interpretation report creation support device according to claim 1 or 2. Analysis history information indicating analysis results of medical images analyzed in the past is stored in the storage means,
The typical sentence specifying means, said analysis result of the medical image has been analyzed by said analyzing means detects the tendency of change of the medical image from said analysis history information corresponding to the medical image, a change in the medical image Including information indicating the tendency of the
An interpretation report creation support device according to claim 1 or 2.

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