JP6529840B2 - Interpretation support apparatus, interpretation support method and interpretation support program - Google Patents

Description

  The present invention relates to an image interpretation support apparatus, an image interpretation support method, and an image interpretation support program, and in particular, an image interpretation support apparatus that supports analysis of a case of each patient using a plurality of image interpretation reports for a plurality of patients. The present invention relates to a method and an interpretation support program.

  From the late 1990's or around 2000's, diagnosis in the radiology department changed from film image to digital image (DICOM image), and at the same time, the reading result recording also used the reading report system from the recording using paper It changed to the record. As a result, in facilities introduced early, 10 years or more of DICOM images and corresponding interpretation reports have already been accumulated.

  As a function required for an interpretation report system, it is shifting from a function of how to efficiently interpret and describe an interpretation report to a function for secondary use such as quick retrieval of accumulated interpretation reports. It is clear from the presentation in the information society etc. and patent document 1.

Patent No. 5702551

  The radiologist uses the full-text search function of the radiography report system to understand the trend of diseases and age distribution etc. for his / her research and conference presentation, and the designated examination date range, modality, diagnostic name ( The interpretation report is extracted under conditions such as), and the extracted interpretation report is output to spreadsheet software such as EXCEL by the CSV output function.

  However, this method requires complicated operations, and it is good if it is about once a year, but it is unsuitable for applications such as monthly tallying. In addition, since it is the examination unit (= the number of examinations) that can be extracted by this method, it differs from the number of cases (= the number of patients) that the image interpretation doctor really seeks. In addition, the function of collecting and storing cases of interest is also popular, but this alone can not sufficiently meet the needs of the interpreting doctor.

  Therefore, the main object of the present invention is to provide an image interpretation support device, an image interpretation support method, and an image interpretation support program that enable simple and comprehensive analysis of multiple patient cases.

  The interpretation support device according to the present invention (10: equivalent reference numerals in the embodiment, and the same applies hereinafter) is for K patients, each of whom suffers from a disease of a disease name including K (K: integer) disease names. A first statistic display means (S27) for displaying a first statistic having a disease name other than the disease name as an item based on a plurality of interpretation reports prepared for a plurality of patients, a first statistic displayed by the first statistic display means Report list display means (S37 ~) for displaying a list of diagnostic reading reports in which the disease name and K disease names of the desired item among the plurality of diagnostic reading reports are described when the desired item above is selected by the operator S41) Disease name list display means (S45, S59) for displaying a list of disease names described in the desired interpretation report when the desired interpretation report on the list displayed by the report list display means is selected by the operator The And a restart means for specifying the desired disease name as one of K disease names and reactivating the first statistical display means when the desired disease name on the list displayed by the disease name list display means is selected by the operator (S61, S67, S69) are provided.

  Preferably, second statistic display means (S15 to S17) for displaying, based on a plurality of interpretation reports, a second statistic in which items of disease names including K disease names are displayed, and a second statistic displayed by the second statistic display means There is further provided activation means (S21, S25, S47, S63) for setting K to a first numerical value and activating the first statistical display means when a desired item on the statistic is selected by the operator.

  In one aspect, the restart means updates K to a second number greater than the first number when K indicates the first number. Also, the restarting means updates the combination of K disease names when K indicates a second numerical value.

  In another aspect, the activation means includes acceptance means (S47, S63) for accepting the operation of the operator in relation to the processing of the report list display means.

  Preferably, description display means (S51) for displaying the interpretation doctor's description in the desired interpretation report in relation to the processing of the disease name list display means, and descriptions concerning K disease names among the descriptions displayed by the description display means Highlighting means (S53 to S57) for highlighting are further provided.

  Preferably, a first search means (S79) for searching for a disease name followed by a positive expression including double denial from the description of the image interpretation doctor in each of the plurality of interpretation reports, a disease name followed by a expression different from the negative expression The second search unit (S81) for searching from the description of the image interpretation doctor in each of the plurality of interpretation reports subordinate to the processing, and K disease names detected by each of the first search unit and the second search unit An extraction unit (S83) for extracting as one of the included disease names is further provided.

  Preferably, the first statistic is a statistic of the number of patients counted for each disease name other than K disease names.

  The image interpretation assisting method according to the present invention is an image interpretation assisting method executed by the processor (14) provided in the image interpretation assisting device (10), each of the diseases having a disease name including K (K: integer) disease names. A first statistics display step (S27) for displaying, based on a plurality of radiogram interpretation reports created for a plurality of patients, a first statistic that targets a plurality of patients who suffer and that includes disease names other than K disease names (1) When the first statistical desired item displayed by the statistical display step is selected by the operator, an interpretation report in which a disease name of the desired item and K disease names are described in each of a plurality of interpretation reports When a desired interpretation report on the list displayed by the report list display step (S37 to S41) for displaying the list and the report list display step is selected by the operator described in the desired interpretation report When the desired disease name on the list displayed by the disease name list display step (S45, S59) displaying the list of the recorded disease names and the disease name list display step is selected by the operator, the desired disease name is K disease names A restart step (S61, S67, S69) is provided to specify one and restart the first statistics display step.

  An image interpretation support program according to the present invention targets a plurality of patients each suffering from a disease having a disease name including K (K: integer) disease names in a processor (14) provided in an image interpretation support device (10) A first statistics display step (S27) for displaying a first statistic including disease names other than K disease names based on a plurality of interpretation reports prepared for a plurality of patients, and the first displayed by the first statistics display step 1 A report list display step of displaying a list of radiogram interpretation reports in which the disease name and the K disease names of the desired items among the plurality of radiology interpretation reports are described when the desired item in the statistic is selected by the operator S37 to S41), when a desired interpretation report on the list displayed by the report list display step is selected by the operator, a disease for displaying a list of disease names described in the desired interpretation report When a desired disease name on the list displayed in the name list display step (S45, S59) and the disease name list display step is selected by the operator, the desired disease name is designated as one of K disease names. The diagnostic reading support program is for executing a restart step (S61, S67, S69) for restarting the statistical display step.

  The first statistic is a statistic that targets a plurality of patients each suffering from a disease of a disease name including K disease names, and takes an item of disease names other than K disease names. When the disease name of the first statistical desired item is selected, the desired interpretation report on the displayed interpretation report list is selected, and the desired disease name described in the desired interpretation report is selected. The desired disease name is designated as one of K disease names. The first statistic is created and displayed based on the K disease names thus updated. This allows simple and robust analysis of multiple patient cases.

  The above object, other objects, features and advantages of the present invention will become more apparent from the detailed description of the following embodiments given with reference to the drawings.

It is a block diagram which shows an example of a structure of the imaging report system applied to this Example. It is a flowchart which shows a part of operation | movement of CPU provided in the diagnostic reading assistance apparatus of this Example. It is a flowchart which shows a part of other operation | movement of CPU provided in the diagnostic reading assistance apparatus of this Example. It is a flowchart which shows a part of other operation | movement of CPU provided in the diagnostic imaging assistance apparatus of this Example. FIG. 16 is a flowchart showing still another part of the operation of the CPU provided in the image interpretation assisting apparatus of this embodiment. It is a flowchart which shows a part of other operation | movement of CPU provided in the diagnostic reading assistance apparatus of this Example. It is a flowchart which shows a part of other operation | movement of CPU provided in the diagnostic imaging assistance apparatus of this Example. It is an illustration figure which shows an example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic imaging assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic imaging assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic imaging assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic imaging assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic reading assistance apparatus of this Example. It is an illustration figure which shows another example of the image displayed on the display apparatus provided in the diagnostic imaging assistance apparatus of this Example.

  Referring to FIG. 1, the image interpretation report system of this embodiment includes an image interpretation assisting apparatus 10 and a server PC 30 connected to each other via a communication network 40. In the diagnostic reading support apparatus 10, the communication I / F 12, the CPU 14, the keyboard 16, the mouse 18, the display device 20, the DRAM 22, and the main storage device 24 are connected to the bus BS1. The keyboard 16 and the mouse 18 are operated by a radiologist. In addition, the server PC 30 is provided with an image interpretation report DB 32 in which a large number of image interpretation reports (image diagnostic reports) are stored.

  In each interpretation report, in addition to examination information such as examination date, examination time, implementation doctor, patient name, patient age, findings, diagnosis, comments input by the interpretation doctor are described, and further, a thumbnail type representing the affected area A medical image (hereinafter, simply referred to as a "thumbnail image") such as a radiation image or an image resembling a human body or an affected part is pasted.

  The CPU 14 provided in the diagnostic reading support apparatus 10 performs the diagnostic reading support process according to the flowcharts shown in FIGS. 2 to 7 in order to support a comprehensive case analysis using the huge number of diagnostic reading reports stored in the server PC 30. Run. The control program corresponding to this flow chart is stored in the main storage device 24.

  Referring to FIG. 2, in step S1, display setting of the main screen is initialized. In step S3, the image data of the main screen shown in FIG. 8 is developed on the DRAM 22, and the display of the main screen is requested to the display device 20.

  According to FIG. 8, in the main screen, a normal search screen having a “normal search” tab, a patient search screen having a “patient search” tab, a detailed search screen having a “detailed search” tab, and a history having a “history” tab A screen, a binder screen having a "binder" tab, an e-mail screen having a "mail" tab, and a patient number by diagnosis screen having a "number of patients by diagnosis" tab are stacked. On the lower side of these stacked screens, a finding field RP1, a diagnosis field DP1, and a comment field CP1 are provided. In the initial display setting, the search screen is usually arranged at the top layer. As a result, the main screen is displayed on the display device 20 as shown in FIG.

  Referring back to FIG. 2, in step S5, it is determined whether the "number of patients per diagnosis" tab is clicked by the operation of the mouse 18, and in step S7, it is determined whether the other tab is clicked by the operation of the mouse 18. Do. If both the determination result in step S5 and the determination result in step S7 are NO, the process returns to step S5, and if the determination result in step S5 is YES, the process proceeds to step S9, and if the determination result in step S7 is YES Execute the process

  In step S9, the display setting of the main screen is changed such that the patient number by diagnosis screen is disposed on the top layer, and in step S11, the display setting of the patient number by diagnosis screen is initialized. Referring to FIG. 9, in the patient number by diagnosis screen, a statistic list sheet having a "CT" tab and a statistic list sheet having an "MR" tab are stacked on the left side of the screen, and a statistic having an "by examination year" tab A statistical graph sheet having a graph sheet, a "by patient age" tab, and a statistical graph sheet having a "by-current disease" tab are displayed on the left side of the center of the screen. In addition, the report list field RL1 is displayed on the right side of the screen, the disease name list field DL1 is displayed below the report list field RL1, and a plurality of buttons for specifying the examination time are displayed on the upper side of the screen.

  Furthermore, in the initial setting, the statistical list sheet having the "CT" tab and the statistical graph sheet having the "by inspection year" tab are arranged at the top layer, and the entire period is designated as the inspection time (part of the inspection range). And CT is designated as an examination device (another part of examination range). As a result, the screen for the number of patients classified by diagnosis shown in FIG. 9 is displayed on the display device 20 instead of the normal search screen (however, the statistics list sheet is blank at this point).

  In step S13, the server PC 30 is accessed via the communication I / F 12, and a plurality of interpretation reports belonging to the designated examination range are acquired from the interpretation report DB 32. The acquired plurality of interpretation reports are stored in the DRAM 22.

  In step S15, a disease name extraction process is performed according to the subroutine shown in FIG. Referring to FIG. 6, in step S71, the initial value of variable m is set to "0", the final value of variable m is set to "number of acquired interpretation reports-1", and the incremental value is set to "1". Do. In step S73, one or more disease names are specified from the diagnosis field of the m-th interpretation report. In step S75, the initial value of the variable n is set to "0", the final value of the variable n is set to "specified number of diseases -1", and the increment value is set to "1". In step S77, a character string from the nth disease name to the end of the line (line feed position) or the position where the punctuation mark appears is acquired with the designated number of characters as the upper limit.

  For example, if the nth disease name is "tumor" and it is described that "the obvious tumor could not be pointed out", the string "tumor" is identified in step S73, and "could not be pointed out" Is acquired in step S77.

  In step S79, it is determined whether the character string acquired in step S77 includes an affirmative word. If the determination result is YES, the process proceeds to step S83, and if the determination result is NO, the process proceeds to step S81. In step S81, it is determined whether the character string acquired in step S77 includes a negative word. If the determination result is NO, the process proceeds to step S83, and if the determination result is YES, the process proceeds to step S85.

  The process of step S79 corresponds to a process of searching for a positive word from the acquired character string, and the process of step S81 corresponds to a process of searching for a negative word from the acquired character string. In any of the processes, in addition to the match search, the vague search by the N-gram method is adopted. In addition, the search process of step S81 is executed subordinate to the search process of step S79.

  Furthermore, as positive words to be searched in step S79, in addition to simple positive expressions such as "do not contradict", "permit", and "can be pointed out", double such as "do not deny" and "cannot deny" It contains negative expressions. On the other hand, as negative words to be searched in step S81, in addition to simple negative expressions by characters such as "do not allow", "cannot point out", "not seen", etc., simple by symbols such as "(-)" It contains negative expressions.

  Therefore, when the character string acquired in step S77 does not include the above-described positive word or does not include the above-mentioned negative word, the finding regarding the nth disease name may be regarded as an abnormal finding or a finding that is suspected of being abnormal. it can. Conversely, when the character string acquired in step S79 does not include the above-described positive word and includes the above-described negative word, the finding on the nth disease name can be regarded as a normal finding.

  In addition, as a description of the findings that are suspected of being abnormal, for example, descriptions such as "does not contradict the findings of lung cancer", "do not deny lung cancer" and the like are assumed. On the other hand, as the description of the normal findings, "No lung cancer is found", "No findings suggestive of obvious intussusception can not be pointed out", "There are no findings suspected as bleeding in the bladder" A description such as is assumed.

  In step S83, the n-th disease name is extracted as an abnormal finding or a finding that is suspected of being abnormal, and a patient number is added to the extracted disease name. In step S85, the variable n is incremented, and then the process returns to step S75. The processes of steps S75 to S85 are performed on all the disease names specified from the diagnosis section of the mth interpretation report. In step S87, the variable m is incremented, and then the process returns to step S71. The processes of steps S71 to S87 are executed on all the image interpretation reports acquired from the image interpretation report DB 32. When the processing for all the interpretation reports is completed, the process returns to the upper hierarchy routine.

  Returning to FIG. 2, in step S17, a statistics list having the disease name extracted in step S15 as an item is created, and the created statistics list is drawn on the statistics list sheet of the top layer. The statistics list is displayed on the display device 20 as shown in FIG. According to FIG. 9, in each item of the statistical list, a disease name and the number of patients suffering from the disease are displayed. The number of patients is measured based on the patient number added in step S83, and the disease names are displayed in descending order of the number of patients.

  In step S19 shown in FIG. 3, it is determined whether another button or tab indicating the examination range (examination time, examination device) is clicked by the operation of the mouse 18 or not. In step S21, it is determined whether the desired disease name on the statistics list is clicked by the operation of the mouse 18. If both the determination result of step S19 and the determination result of step S21 are NO, the process returns to step S19. If the determination result in step S19 is YES, the display setting and inspection range are changed in step S23, and the process returns to step S13. If the determination result of step S21 is YES, it will progress to step S25.

  In step S25, the disease name clicked on the statistics list is designated as a basic disease name. For example, when "hepatic cyst" is clicked on the statistical list shown in FIG. 9, a hepatic cyst is designated as a stem disease name. When the designation of the axis disease name is completed, the process proceeds to step S27, and the graph drawing process represented by the subroutine shown in FIG. 7 is activated.

  Referring to FIG. 7, in step S91, it is determined whether there is one base disease name or not. If the determination result is YES, the process proceeds to step S93, while if the determination result is NO, the process proceeds to step S95. .

  As described later, in step S67 shown in FIG. 5, two disease names are designated as the basal disease names. Therefore, the determination result of step S91 indicates NO when the process returns to step S29 after the process of step S67. Further, "2" which is the number of disease names is an example of the integer K, and in this embodiment, the value of K is set to "1" at step S25, and is set to "2" at step S67.

  In step S93, an interpretation report in which one designated disease name is described as an abnormal finding or a finding in which an abnormality is suspected is identified from among the interpretation reports acquired in step S13. Further, in step S95, an interpretation report in which the two designated disease names are described as abnormal findings or findings suspected of being abnormal is specified from among the interpretation reports acquired in step S13.

  In steps S97 and S99, the statistic type currently selected is determined. If the current statistics type is "by inspection year", the process proceeds from step S97 to step S101, and a statistical graph having the inspection year as an item is created. If the current statistics type is "by patient age", the process proceeds from step S99 to step S103, and a statistical graph having the patient age as an item is created. If the current statistic type is "by concurrent disease name", the process proceeds from step S99 to step S105, and a statistical graph is created with the concurrent disease name as an item.

  More specifically, the statistical graph created in step S101 represents the number of patients classified by gender for each examination year for patients suffering from a basic disease name disease. Further, the statistical graph created in step S103 represents the number of patients classified by gender, which is counted for each patient age, for the patients suffering from the disease with the basic disease name. Furthermore, the statistical graph created in step S105 represents the number-of-patients statistics classified by gender for each disease name other than the basic disease name for the patients suffering from the basic disease name disease. In addition, in the statistical graph for each disease name, the disease names are listed in descending order of the number of patients in the male-female scale.

  When the process of step S101, S103 or S105 is completed, the process proceeds to step S107, and the created statistical graph is drawn on the uppermost graph sheet. When the process of step S107 is completed, the process returns to the upper hierarchy routine.

  Therefore, when the “hepatic cyst” is designated as the axis disease name in a state where the statistical graph sheet having the “by examination year” tab is arranged at the top layer, the statistical graph is drawn as shown in FIG. Is displayed on. In addition, when “hepatic cyst” is designated as the axis disease name in a state where the statistical graph sheet having “by patient age” tab is arranged at the top layer, the statistical graph is drawn as shown in FIG. Is displayed on. Furthermore, when “hepatic cyst” is designated as a stem disease name in a state in which the statistical graph sheet having “sorted by disease name” tab is arranged at the top layer, the statistical graph is drawn as shown in FIG. Is displayed on.

  Referring back to FIG. 3, in step S29, it is determined whether another disease name on the statistics list is clicked by the operation of the mouse 18, and in step S31, a tab of another statistic type is clicked by the operation of the mouse 18 In step S37, it is determined whether the desired item on the statistical graph has been clicked by the operation of the mouse 18 or not. If the determination results in step S29, the determination results in step S31, and the determination results in step S37 are all NO, the process returns to step S29.

  If the result of the determination in step S29 is YES, then in step S25, the basic disease name is designated again, and then the graph drawing process of step S27 is executed. In step S27, a statistical graph is created / updated for the patient suffering from the disease having the clicked disease name.

  If the determination result in step S31 is YES, the following processing is performed in steps S33 and S35, and then the process returns to step S27. In step S33, the statistic type is changed. In step S35, the display setting is changed such that the graph sheet corresponding to the changed statistic type is disposed at the top layer. In step S27, a statistical graph is created and updated so as to represent the statistics of the number of patients classified by gender for each changed statistic type.

  If the determination result in step S37 is YES, the process proceeds to step S39, and an interpretation report matching the desired disease name on the statistical list and the desired item on the statistical graph is detected from among the interpretation reports acquired in step S13.

  If the currently selected statistical type is "by examination year", the desired disease name is described in the diagnosis column as an abnormal finding or a finding that is suspected of being abnormal, and a date including the clicked year is described as the examination date. Interpretation reports are detected.

  If the currently selected statistical classification is "by patient age", the desired disease name is described in the diagnosis column as an abnormal finding or a finding that is suspected of being abnormal, and the age belonging to the clicked age is described as the patient's age. Interpretation reports are detected.

  If the currently selected statistical type is “by concurrent disease name”, the interpretation report described in the diagnosis column is detected as an abnormal finding or a finding that is suspected to be abnormal, with the desired disease name and the clicked concurrent disease name .

  In step S41, a list of the image interpretation reports detected in step S39 is displayed in the report list field RL1. When "arteriosclerosis" is clicked on the statistical graph shown in FIG. 12, the interpretation report is displayed in the report list column RL1 as shown in FIG. 13 (however, any interpretation report is marked up at this point) Not found, finding field RP1, diagnosis field DP1, comment field CP1 are blank.

  In step S43, it is determined whether or not a desired item on the statistical graph is clicked. In step S45, it is determined whether or not a desired interpretation report in the report list column RL1 is clicked. It is determined whether the disease name of has been clicked. If the determination results of step S43, the determination results of step S45, and the determination results of step S47 are all NO, the process returns to step S43.

  If the determination result of step S43 is YES, it will return to step S39. As a result, the display of the report list field RL1 is updated. If the decision result in the step S47 is YES, the display of each of the graph sheet and the report list field RL1 is initialized or cleared in a step S49, and then the process returns to the step S25. As a result, the disease name clicked on the statistics list is designated as a basic disease name, and the graph drawing process shown in FIG. 7 is restarted. In the re-started graph drawing process, a statistical graph is created and drawn for a patient who suffers from a disease with a newly designated basic disease name.

  If the determination result of step S45 is YES, it will progress to step S51. In step S51, the image interpretation report clicked is marked up in the report list field RL1, and the findings, diagnosis and comments described in the image interpretation report clicked are displayed in the finding field RP1 and diagnosis field DP1 and the comment field CP1. As a result, the interpretation report is marked up as shown in FIG. 13, and the display of findings, diagnoses and comments is displayed as shown in FIG.

  In step S53, the same disease name as the clicked disease name on the statistics list is detected from the diagnosis column DP1, and highlight processing (emphasis processing) is performed on the detected disease name. In step S55, it is determined whether or not the statistic type currently selected is "by concurrent disease name", and if the determination result is NO, the process proceeds directly to step S59, while if the determination result is YES in step S57 After the following processing is performed, the process proceeds to step S59.

  That is, in step S57, a disease name corresponding to the item clicked on the statistical graph and forming an abnormal finding or a finding suspected of being abnormal is detected from the diagnosis column DP1, and highlight processing (emphasis processing) is performed on the detected disease name. Apply.

  According to FIG. 13, "liver cyst" is clicked on the statistical list and "arteriosclerosis" is clicked on the statistical graph. For this reason, the disease names of "hepatic cyst" and "arteriosclerosis" are highlighted in the diagnosis column DP1.

  In step S59, another concurrent disease name described as an abnormal finding or a suspected abnormal condition is detected from the diagnosis field DP1, and the detected concurrent disease name is displayed in the disease name list field DL1. According to FIG. 13, the names of “pleural fluid”, “pleural fluid retention”, “thoracic spine spinous fracture”, “tumor”, and “renal tumor” are displayed in the disease list column DL1.

  In step S61, it is determined whether or not the desired concurrent disease name in the disease name list column DL1 is clicked by the operation of the mouse 18, and in step S63 it is determined whether the desired disease name on the statistical list is clicked by the operation of the mouse 18. Do. If both the determination result of step S61 and the determination result of step S63 are NO, the process returns to step S61.

  If the decision result in the step S63 is YES, the display of the graph sheet and the report list field RL1 is initialized or cleared in a step S65, and then the process returns to the step S25. As a result, the disease name clicked on the statistics list is designated as a basic disease name, and the graph drawing process shown in FIG. 7 is restarted. In the re-started graph drawing process, a statistical graph is created and drawn for a patient who suffers from a disease with a newly designated basic disease name.

  If the determination result in step S61 is YES, two disease names to be the basis are designated in step S67. Specifically, the disease name clicked on the statistical list and the concurrent disease name clicked in the disease list column DL1 are designated as the basic disease name. The concurrent disease name designated from the disease name list column DL1 in the second and subsequent step S67 is the concurrent disease name selected by the immediately preceding click operation. Thus, when two disease names are designated, the display other than the statistics list is initialized in step S69, and the graph drawing process of step S27 is restarted. As a result, a statistical graph is created and drawn for a patient having two designated disease names coexisting.

  Therefore, when "pleural fluid" is clicked in the disease name list column DL1 shown in FIG. 13, the display of the patient number by diagnosis screen changes to FIG. According to FIG. 14, the finding column RP1, the diagnosis column DP1, the comment column CP1, the report list column RL1, and the disease name list column DL1 are left blank, and a statistical graph having "hepatic cysts" and "pleural effusion" as the basal disease names is the top layer. Is drawn on the graph sheet.

  After that, when "renal stone" is clicked on the statistical graph, the processing in steps S39 and S41 is executed, and a list of interpretation reports of patients with "liver cyst" and "renal stone" is included in the report list column. Displayed on RL1. Furthermore, when a desired interpretation report on the report list field RL1 is clicked, the processing of steps S51 to S59 is executed. As a result, the display of the patient number by diagnosis screen transitions from FIG. 14 to FIG.

  According to FIG. 15, the interpretation report clicked is marked up, and the findings, diagnoses and comments of the interpretation report are displayed in the finding field RP1, the diagnosis field DP1 and the comment field CP1, and the “pleural effusion displayed in the diagnosis field DP1 ", The name of the disease" hepatic cyst "and" renal calculus "is highlighted, and the other concurrent names described as abnormal findings or findings suspected to be abnormal in the diagnosis column DP1, ie," lymphadenoma, "" lymphoma ", The disease name of" hilar lymph node "is displayed in the disease name list column" DL1 ".

  When “Lymphadenoma” is clicked on in the disease name list column DL1 shown in FIG. 15, the display of the patient number by diagnosis screen changes to FIG. According to FIG. 16, a finding graph RP, a diagnosis column DP1, a comment column CP1, a report list column RL1, and a disease name list column DL1 are left blank, and a statistical graph with “hepatic cyst” and “lymphadenoma” as the axis disease name is displayed. It is drawn on the topmost graph sheet.

  When "arteriosclerosis" is clicked on the drawn statistical graph, the processes of steps S39 and S41 are executed, and the interpretation of the patient with "hepatic cyst", "lymphadenoma" and "arteriosclerosis" is developed. A list of reports is displayed in the report list field RL1. Furthermore, when a desired interpretation report on the report list field RL1 is clicked, the processing of steps S51 to S59 is executed. As a result, the display of the patient number by diagnosis screen changes from FIG. 16 to FIG.

  According to FIG. 17, the interpretation report clicked is marked up, and the findings, diagnoses and comments of the interpretation report are displayed in the finding field RP1, the diagnosis field DP1 and the comment field CP1, and are displayed in the diagnosis field DP1. Other comorbidities that have been highlighted as having a disease name of "cyst", "lymphadenoma" and "arteriosclerosis" and are noted as abnormal findings or findings suspected of being abnormal in the diagnosis column DP1, ie "lymph node enlargement", "liver The names of diseases such as "tumor", "liver tumor", "tumor", "mediastinal lymph node" and the like are displayed in the disease list column "DL1".

  In addition, when a "hepatic cyst" is clicked on the statistical list with the graph sheet having the "by examination year" tab arranged in the top layer, the "hepatic cyst" is designated as a stem disease name in step S25 . In step S27, a statistical graph created for patients with "hepatic cysts" is created, and the created statistical graph is displayed as shown in Fig. 18 on a graph sheet having "by examination year" tab. Be done.

  Subsequently, when a male of “2007” is clicked on the statistical graph, the processes of steps S39 and S41 are performed. As a result, a list of interpretation reports of male patients who have been examined in 2003 among patients suffering from "liver cysts" is displayed in the report list column RL1. Furthermore, when a desired interpretation report on the report list field RL1 is clicked, the processes of steps S51, S53 and S59 are executed. As a result, the display of the patient number by diagnosis screen transitions from FIG. 18 to FIG.

  According to FIG. 19, the interpretation report clicked is marked up, and the findings, diagnosis and comments of the interpretation report are displayed in the finding field RP1, the diagnosis field DP1 and the comment field CP1, and are displayed in the diagnosis field DP1. The other disease names that are highlighted as the disease name of "cyst" and described as abnormal findings or findings suspected to be abnormal in the diagnosis column DP1, ie "gastric submucosal tumor", "tumor", "renal tumor", "renal cyst" The name of the disease is displayed in the disease list column "DL1".

  When “renal tumor” is clicked in the disease name list column DL1 shown in FIG. 19, the display of the patient number by diagnosis screen changes to FIG. According to FIG. 20, the finding column RP1, the diagnosis column DP1, the comment column CP1, the report list column RL1, and the disease name list column DL1 are left blank, and the statistical graph having "hepatic cysts" and "renal tumors" as the axis disease names It is drawn on the upper graph sheet.

  In addition, when the "hepatic cyst" is clicked on the statistical list with the graph sheet having the "by patient age" tab arranged in the top layer, the "hepatic cyst" is designated as a stem disease name in step S25 . In step S27, a statistical graph created for patients with "hepatic cysts" is created, and the created statistical graph is displayed as shown in Fig. 21 on a graph sheet having "by patient age" tab. Be done.

  Subsequently, when a "70's" male is clicked on the statistical graph, the processes of steps S39 and S41 are executed. As a result, a list of interpretation reports of a patient of a 70's male among the patients suffering from the "liver cyst" is displayed in the report list column RL1. Furthermore, when a desired interpretation report on the report list field RL1 is clicked, the processes of steps S51, S53 and S59 are executed. Thereby, the display of the patient number by diagnosis screen changes from FIG. 21 to FIG.

  According to FIG. 22, the interpretation report clicked is marked up, and the findings, diagnosis and comments of the interpretation report are displayed in the finding field RP1, the diagnosis field DP1 and the comment field CP1, and are displayed in the diagnosis field DP1. Name of the disease of "cyst" is highlighted and other complicated disease names described as abnormal findings or findings suspected to be abnormal in the diagnosis column DP1, that is, "lesions", "renal cysts", "bile mud", "arteriosclerosis" Is displayed in the disease name list field “DL1”.

  When "arteriosclerosis" is clicked in the disease name list column DL1 shown in FIG. 22, the display of the patient number by diagnosis screen changes to FIG. According to FIG. 23, the finding column RP1, the diagnosis column DP1, the comment column CP1, the report list column RL1, and the disease name list column DL1 are left blank, and the statistical graph having "hepatic cysts" and "arteriosclerosis" as the basic disease names is the most It is drawn on the upper graph sheet.

  As can be understood from the above description, the CPU 14 is a statistical graph that targets a plurality of patients who each suffered from a disease having K disease names including K (Integer) disease names, and takes K disease names other than K disease names as an item. Are displayed based on a plurality of interpretation reports created for a plurality of patients (S27). When the desired item on the displayed statistical graph is selected by the operation of the mouse 18, the CPU 14 reads the interpretation report in which the disease name and K disease names of the desired item among the plurality of interpretation reports are described in each of them. The list is displayed in the report list field RL1 (S37 to S41). Further, when the desired interpretation report in the report list field RL1 is selected by the operation of the mouse 18, the CPU 14 displays a list of disease names described in the desired interpretation report in the illness list field DL1 (S45, S59). Furthermore, when a desired disease name in the disease name list column DL1 is selected by operating the mouse 18, the CPU 14 designates the desired disease name as one of the K disease names and restarts the above-mentioned statistical graph display processing ((1) S61, S67, S69). This allows simple and robust analysis of multiple patient cases.

10 ... Diagnosis support device 14 ... CPU
18 ... mouse 20 ... display device 24 ... main storage device 30 ... server PC
40 ... communication network

Claims (10)

A first statistic was created for the plurality of patients, targeting a plurality of patients each suffering from a disease having K disease names including K disease names (K: integer) and taking the disease names other than the K disease names as items. A first statistical display means for displaying based on a plurality of interpretation reports,
When a desired item on the first statistic displayed by the first statistic display means is selected by the operator, the disease name of the desired item and the K disease names described in the plurality of interpretation reports are respectively described Report list display means for displaying a list of scanned interpretation reports,
Disease name list display means for displaying a list of disease names described in the desired image interpretation report when the desired interpretation report on the list displayed by the report list display means is selected by the operator, and the disease name list display Restarting means for specifying the desired disease name as one of the K disease names when the desired disease name on the list displayed by the means is selected by the operator and restarting the first statistical display means An imaging support device comprising: A second statistic display means for displaying, based on the plurality of interpretation reports, a second statistic including the disease name as the item including the K disease names, and a second desired statistic displayed by the second statistic display means The diagnostic reading support apparatus according to claim 1, further comprising start means for setting the K to a first numerical value and starting the first statistical display means when an item is selected by the operator.   The diagnostic reading support apparatus according to claim 2, wherein the restart unit updates the K to a second numerical value larger than the first numerical value when the K indicates the first numerical value.   The diagnostic reading support apparatus according to claim 3, wherein the restart unit updates the combination of the K disease names when the K indicates the second numerical value.   The image interpretation supporting apparatus according to any one of claims 2 to 4, wherein the activation means includes an acceptance means for accepting the operation of the operator in relation to the process of the report list display means. Description display means for displaying the interpretation doctor's description in the desired interpretation report in relation to the processing of the disease name list display means, and highlighting the description concerning the K disease names among the descriptions displayed by the description display means The diagnostic reading support apparatus according to any one of claims 1 to 5, further comprising highlighting means. First search means for searching for a disease name followed by a positive expression including double denial from the description of the image interpretation doctor in each of the plurality of image interpretation reports
A second search unit for searching a description of the image interpretation doctor in each of the plurality of image interpretation reports as subordinate to the processing of the first search unit, for a disease name having a different expression from the negative expression, and the first search unit and the first search unit The image interpretation supporting apparatus according to any one of claims 1 to 6, further comprising extraction means for extracting a disease name detected by each of the two search means as one of the disease names including the K disease names.   The image interpretation supporting device according to any one of claims 1 to 7, wherein the first statistic is a statistic of the number of patients counted for each disease name other than the K disease names. An image interpretation support method executed by a processor provided in an image interpretation support apparatus, comprising:
A first statistic was created for the plurality of patients, targeting a plurality of patients each suffering from a disease having K disease names including K disease names (K: integer) and taking the disease names other than the K disease names as items. The first statistics display step to display based on multiple interpretation reports,
When the desired item of the first statistical item displayed by the first statistical display step is selected by the operator, the disease name of the desired item and the K disease names are described in each of the plurality of interpretation reports. Report list display step, which displays a list of scanned interpretation reports
A disease name list display step of displaying a list of disease names described in the desired image interpretation report when the desired interpretation report on the list displayed by the report list display step is selected by the operator; A restart step of reactivating the first statistics display step by specifying the desired disease name as one of the K disease names when the desired disease name on the list displayed by the step is selected by the operator An interpretation support method comprising The processor provided in the diagnostic reading support apparatus
A first statistic was created for the plurality of patients, targeting a plurality of patients each suffering from a disease having K disease names including K disease names (K: integer) and taking the disease names other than the K disease names as items. The first statistics display step to display based on multiple interpretation reports,
When the desired item of the first statistical item displayed by the first statistical display step is selected by the operator, the disease name of the desired item and the K disease names are described in each of the plurality of interpretation reports. Report list display step, which displays a list of scanned interpretation reports
A disease name list display step of displaying a list of disease names described in the desired image interpretation report when the desired interpretation report on the list displayed by the report list display step is selected by the operator; A restart step of reactivating the first statistics display step by specifying the desired disease name as one of the K disease names when the desired disease name on the list displayed by the step is selected by the operator Diagnostic support program to run the program.

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