JP2012149994A - Medical data processing device, medical data processing program, and nuclear medicine diagnosis device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a medical data processing device capable of reducing a burden on a doctor and improving diagnostic accuracy by providing the doctor with useful information for diagnosis using nuclear medicine diagnosis information.SOLUTION: A medical data processing device has storage means and diagnostic support information generation means. The storage means stores degrees of accumulation of an internal radioactive diagnostic product and index values representing a tumor marker for a plurality of specimens. The diagnostic support information generation means: generates diagnostic support information by plotting the degree of accumulation of the internal radioactive diagnostic product as well as the index value of the tumor marker for an object specimen and the degrees of accumulation of the diagnostic radioactive diagnostic product as well as the index values of the tumor marker for the plurality of specimens; and displays the generated diagnostic support information on display means.

Description

  Embodiments described herein relate generally to a medical data processing apparatus, a medical data processing program, and a nuclear medicine diagnosis apparatus.

  In recent years, positron emission computed tomography (PET) screening and PET / CT (computed tomography) screening have become widespread. Most of these examinations are examinations of tumors and cancers performed by administering fluorine 18-fluorodeoxyglucose (F18-FDG) which is a radioactive diagnostic agent in the body. Since F18-FDG collects at a site where a tumor or cancer is present, the tumor or cancer can be imaged by PET examination or PET / CT examination.

  In PET inspection and PET / CT inspection, not only PET images but also SUV (Standardized Uptake Value) values, which are indicators of the degree of F18-FDG accumulation, are used. The SUV value is a semi-quantitative index indicating how many times the amount of F18-FDG is accumulated in the target site, assuming that F18-FDG is evenly distributed in the body of the subject. The SUV value is given by Equation (1) and can be calculated based on the pixel value of the PET image.

  SUV = (Amount of FDG at target site [kBq / g]) / (Dosage of FDG [MBq] / Body weight [kg]) (1)

JP 2009-25035 A

  PET tests and PET / CT tests tend to be included in health examinations as the number of cancer deaths increases. Unlike clinical diagnosis in radiology, the examination in the health examination targets normal or poorly conscious patients. For this reason, it will search for an abnormal site | part based on little information, and will depend greatly on a doctor's experience.

  That is, when a malignant tumor or cancer is discovered and follow-up is performed after surgery or when the presence or absence of metastasis is determined, the accumulation area is specified in advance, or the region of interest (ROI) is It is limited to. For this reason, the site | part which should pay attention can be determined easily. However, in PET examinations and PET / CT examinations in health examinations, the health status differs for each subject and the number of subjects is large. For this reason, it is not easy to specify a site to be focused on in the PET image, and it greatly depends on the experience of the image interpretation doctor. As a result, there is a problem that the burden on the interpreting physician is increased.

  In PET and PET / CT tests, F18-FDG may also accumulate in normal cells such as inflamed areas. In addition, PET and PET / CT tests have sites that are difficult to determine, such as prostate cancer.

  For this reason, it is desired to reduce the burden on the doctor and improve the diagnostic accuracy. This applies not only to PET apparatuses but also to examinations using a nuclear medicine diagnostic apparatus such as a single photon emission computed tomography (SPECT) apparatus.

  The present invention relates to a medical data processing apparatus, a medical data processing program, and a nuclear medicine diagnosis capable of reducing the burden on a doctor and improving the diagnostic accuracy by providing useful information in a diagnosis using nuclear medicine diagnosis information. An object is to provide an apparatus.

  The medical data processing apparatus according to the embodiment includes a storage unit and a diagnosis support information generation unit. The storage means includes a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent obtained from nuclear medicine diagnostic image data for a plurality of subjects and a plurality of index values of tumor markers measured for the plurality of subjects. Save each subject in association. The diagnostic support information generating means includes an index value indicating a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, Generating diagnosis support information by plotting a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent for a plurality of subjects and a plurality of index values of the tumor marker measured for the plurality of subjects. The generated diagnostic support information is displayed on the display means.

  In addition, the medical data processing program of the embodiment causes a computer to function as a storage unit and a diagnosis support information generation unit. The storage means includes a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent obtained from nuclear medicine diagnostic image data for a plurality of subjects and a plurality of index values of tumor markers measured for the plurality of subjects. The data is stored in association with each subject. The diagnostic support information generating means includes an index value indicating a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, Generating diagnosis support information by plotting a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent for a plurality of subjects and a plurality of index values of the tumor marker measured for the plurality of subjects. The generated diagnostic support information is displayed on the display means.

  The nuclear medicine diagnosis apparatus of the embodiment includes data collection means, storage means, and diagnosis support information generation means. The data collection means collects nuclear medicine diagnostic image data and calculates an index value representing the degree of accumulation of the in-vivo radioactive diagnostic agent from the nuclear medicine diagnostic image data. The storage means includes a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent obtained from nuclear medicine diagnostic image data for a plurality of subjects, and a plurality of index values of tumor markers measured for the plurality of subjects. Are stored in association with each subject. The diagnostic support information generating means includes an index value indicating a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, Generating diagnosis support information by plotting a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent for a plurality of subjects and a plurality of index values of the tumor marker measured for the plurality of subjects. The generated diagnostic support information is displayed on the display means.

1 is a configuration diagram of a medical data processing apparatus according to an embodiment. The figure which shows the example which displayed the plot data showing the relationship between a SUV value and a tumor marker value. The figure which shows the example of the diagnostic assistance information obtained by plotting the SUV value and tumor marker value of the subject used as a diagnostic object on the plot data shown in FIG. The flowchart which shows the flow at the time of producing | generating and displaying diagnostic assistance information by the medical data processing apparatus shown in FIG.

  A medical data processing apparatus, a medical data processing program, and a nuclear medicine diagnosis apparatus according to an embodiment will be described with reference to the accompanying drawings.

  FIG. 1 is a configuration diagram of a medical data processing apparatus according to an embodiment.

  The medical data processing apparatus 1 is connected to a medical device such as a PET / CT apparatus 2, a biochemical examination apparatus 3, a diagnostic data management system 4, a modality 5 and other medical engineering (ME) apparatus 6 via a network 7. Connected. Examples of the modality 5 include an ultrasonic diagnostic apparatus, an MRI (magnetic resonance imaging) apparatus, and an X-ray CT apparatus.

  A PET device may be connected instead of the PET / CT device 2. Alternatively, the user may input necessary information to the medical data processing apparatus 1 without connecting to the network 7.

  Furthermore, the function of the medical data processing apparatus 1 may be built in the PET / CT apparatus 2 or the PET apparatus. If the medical data processing apparatus 1 is configured to be incorporated into the PET / CT apparatus 2 or PET apparatus, it can be effectively used as a diagnosis support function for the PET / CT apparatus 2 or PET apparatus installed in the radiology department in a hospital. .

  On the other hand, if the medical data processing device 1 is configured to be connected to the outside of the PET / CT device 2 via the network 7, it is convenient for use as a health checkup system from the viewpoint of acquiring medical data from other medical devices. High nature. In this case, the medical data processing apparatus 1 may be incorporated in an image processing apparatus such as an image interpretation apparatus.

  The PET / CT apparatus 2 is an image diagnostic apparatus that combines a PET apparatus and an X-ray CT apparatus, and has a function of collecting both PET images and X-ray CT images from a subject. The PET apparatus side of the PET / CT apparatus 2 includes a data collection unit. The data collection unit on the PET device side has a function to collect PET image data from a subject administered with an in-vivo radioactive diagnostic agent such as F18-FDG, and a function to measure the SUV value based on the pixel value of the PET image data. Have. The data collected on the X-ray CT apparatus side is used for attenuation correction of the data collected on the PET apparatus side.

  The biochemical test apparatus 3 has a function of measuring various biochemical test data including an index value such as a concentration of a tumor marker from blood collected from a subject. A tumor marker is a unique substance that appears in blood when a tumor forms in the body of a subject. As tumor markers, there are many substances such as prostate specific antigen (PSA). The volume concentration (ng / ml) obtained by dividing the mass of PSA by the volume of the solution is called the PSA value, and is used as an index value for the diagnosis of prostate cancer.

  The diagnostic data management system 4 has a function of managing, as diagnostic result information, diagnostic results for each subject determined by a doctor based on test information such as biochemical test data. For example, in a medical institution that conducts a health checkup, there are no abnormalities based on the results of biochemical tests such as blood test results and urine test results. It is managed as diagnostic result information together with incidental information such as the inspection date and time. In addition, in medical institutions that treat cancer and malignant tumors, in addition to biochemical test data, malignant tumors are identified based on test information such as results of biological tissue tests and detailed tests using cells and tissues collected from the subject. Evaluation information such as no doubt, suspected malignant tumor, malignant tumor, and cancer is managed as diagnostic result information together with incidental information such as identification information of the subject and examination date and time.

  The medical data processing apparatus 1 supports diagnosis of tumors and cancer based on medical data acquired from the PET / CT apparatus 2, biochemical examination apparatus 3, diagnostic data management system 4, modality 5 and ME apparatus 6 via the network 7. A function for generating information and a function for displaying the generated diagnosis support information are provided.

  The medical data processing apparatus 1 stores a medical data processing program in a storage device 9 of a computer including a calculation device 8, a storage device 9, an input device 10, and a display device 11, and causes the calculation device 8 to read the medical data processing program. Can be configured. The medical data processing program can be recorded on a medium such as a CD (compact disc) or a USB (Universal Serial Bus) memory and distributed as a program product. However, a circuit may be used to construct the components of the medical data processing apparatus 1.

  Specifically, the medical data processing apparatus 1 uses the arithmetic device 8 as a medical data acquisition unit 12, an SUV value acquisition unit 13, a diagnosis support information generation unit 14, an image information display unit 15, a database update unit 16, and diagnostic report information creation. As the unit 17, the storage device 9 is made to function as the examination statistical information database 18 and the diagnostic image database 19.

  The medical data acquisition unit 12 has a function of acquiring necessary medical data from the PET / CT apparatus 2, biochemical examination apparatus 3, diagnostic data management system 4, modality 5, and other ME apparatus 6 via the network 7. From PET / CT device 2, PET image data and SUV value are subject identification information, examination date, image data search information, PET device model, data collection conditions, preprocessing contents, image reconstruction processing conditions It is acquired with incidental information such as. From the biochemical examination apparatus 3, the type and value of the tumor marker for each part of the subject are acquired together with the incidental information such as the identification information of the subject and the examination date. From the diagnostic data management system 4, diagnostic result information for each subject is acquired. Further, X-ray CT image data can be acquired from the PET / CT apparatus 2 as necessary, and diagnostic image data can be acquired from a desired modality 5 such as an MRI apparatus.

  Medical data such as PET image data acquired by the medical data acquisition unit 12 can be displayed on the display device 11 as necessary, and used for diagnosis such as interpretation.

  The SUV value acquisition unit 13 at a specified position or range based on the part specification information input through the PET image displayed on the display device 11 from the input device 10 and the SUV value acquired by the medical data acquisition unit 12. Has a function to acquire SUV values. That is, the SUV value acquisition unit 13 acquires an SUV value in a region of interest (ROI) having a dot or region set on a PET image by a user such as an interpreting doctor or a technician by operating the input device 10. It has the function to do.

  The SUV value depends not only on the part of the subject but also on conditions such as the model of the PET apparatus, data collection conditions, preprocessing contents, image reconstruction processing conditions, and the like. Therefore, the SUV value varies depending on these conditions. For example, even if there is only one SUV measurement target site, if multiple PET image data are collected by changing the delay time after administration of in-vivo radioactive diagnostic agents such as F18-FDG An SUV value is measured for each of a plurality of delayed PET image data. Therefore, it is desirable for comparing the SUV values that the conditions that do not need to be changed among the various conditions that affect the SUV value should be the same as much as possible.

  The examination statistical information database 18 associates the SUV value acquired in the past by the SUV value acquisition unit 13 with the type and value of the tumor marker acquired in the past by the medical data acquisition unit 12 for each subject. As a storage unit. Desired medical data acquired by the SUV value acquisition unit 13 and the medical data acquisition unit 12 can be further added to the inspection statistical information.

  For example, subject's name and ID, SUV value measurement site, incidental information such as data collection conditions for PET image data, incidental information such as measurement date for tumor marker, blood and cell collection date from subject, doctor Items such as the diagnostic result information obtained by the above, the retrieval information of the PET image corresponding to the SUV value, and the retrieval information of the diagnostic image by other modalities 5 can be added to the inspection statistical information.

  The diagnostic image database 19 has a function as an image server that stores the PET image data and the image data captured in the desired modality 5 together with the search information. In addition to information such as subject identification information and examination date / time, the image data can also include additional information such as the model of the image diagnostic apparatus, data collection conditions, preprocessing contents, and image reconstruction processing conditions.

  The diagnosis support information generation unit 14 refers to the function of acquiring the SUV value and the tumor marker value of the subject to be diagnosed from the SUV value acquisition unit 13 and the medical data acquisition unit 12, respectively, by referring to the examination statistical information database 18. A function that generates plot data representing the relationship between past SUV values and tumor marker values, and plotting the SUV values and tumor marker values of subjects to be diagnosed on plot data representing the relationship between SUV values and tumor marker values The display device 11 has a function of displaying data as diagnosis support information.

  Further, the diagnosis support information generation unit 14 generates desired information as diagnosis support information based on the test statistical information stored in the test statistical information database 18 and the medical data acquired from the SUV value acquisition unit 13 and the medical data acquisition unit 12. The generated diagnosis support information can be displayed on the display device 11.

  For example, when the user sets ROI and examines the SUV value, if the tumor marker value of the corresponding subject shows an abnormal value, the tumor marker value is an abnormal value. The displayed information, the abnormal value of the tumor marker, and the part indicating the abnormal value can be displayed on the display device 11 in advance as diagnosis support information. That is, it is possible to notify the user of the site where the SUV value is to be acquired and to alert the user. Conversely, when the SUV value in the ROI acquired from the SUV value acquisition unit 13 is an abnormal value, the value of the tumor marker at the corresponding site can be displayed on the display device 11.

  Examples of other diagnosis support information include correlation coefficient between SUV value and tumor marker value obtained from statistical data of SUV value and tumor marker value, approximate straight line or approximate curve obtained from statistical data, and diagnosis result information by doctor Is mentioned. Such information can be displayed together with plot data representing the relationship between the SUV value and the tumor marker value.

  FIG. 2 is a diagram illustrating an example in which plot data representing the relationship between the SUV value and the tumor marker value is displayed.

  In FIG. 2, the horizontal axis indicates the value of PSA, which is one of the tumor markers, and the vertical axis indicates the SUV value. In FIG. 2, ○ marks indicate SUV values and PSA values corresponding to diagnosis results determined not to have a malignant tumor, and ▽ marks indicate SUV values corresponding to diagnosis results determined to be a malignant tumor. The PSA value, the □ mark represents the SUV value and the PSA value corresponding to the diagnosis result determined as malignant tumor or cancer, and the solid line represents an approximate straight line when the SUV value and the PSA value are assumed to be proportional.

  As shown in FIG. 2, plot data of SUV values and PSA values can be created and displayed on the display device 11 for each region of interest such as the prostate. Further, the correlation coefficient can be calculated and displayed together with the plot data.

  Thus, the relationship between the SUV value and the PSA value can be examined by calculating the correlation coefficient using the statistical data of the SUV value and the PSA value. Then, an approximate line or approximate curve can be displayed on the plot data as diagnosis support information according to the calculated correlation coefficient. Thereby, the value of a tumor marker such as PSA and the SUV value obtained as a result of PET diagnosis can be linked.

  Furthermore, when the SUV value of the subject to be diagnosed is an abnormal value, it can be displayed on the plot data shown in FIG. 2 together with the corresponding tumor marker value.

  FIG. 3 is a diagram showing an example of diagnosis support information obtained by plotting the SUV value and tumor marker value of the subject to be diagnosed on the plot data shown in FIG.

  In FIG. 3, circles displayed in a shaded manner represent the SUV value and PSA value of the subject to be diagnosed. For example, when a data display button is displayed on the display device 11 and the user presses the data display button by operating the input device 10, it becomes a diagnosis target on the plot data as shown in FIG. 3 in addition to the image data of the subject. The SUV value and tumor marker value of the subject can be displayed.

  As shown in FIG. 3, the diagnosis by the doctor can be supported by displaying the SUV value and the PSA value of the subject to be diagnosed on the statistical data of the past SUV value and the PSA value. In other words, the diagnosis target is based on the relationship between the SUV value and PSA value of the subject to be diagnosed and the SUV value and PSA value of other subjects and the approximate straight line or approximate curve obtained based on the correlation coefficient It is possible to visually confirm how far the SUV value and the PSA value of the subject to be deviated are.

  Note that plot data indicating the relationship with the SUV value can be created for tumor markers other than PSA as well as PSA.

  The image information display unit 15 has a function of causing the display device 11 to display diagnostic image data corresponding to each data representing the relationship between the SUV value and the tumor marker value based on the instruction information from the input device 10. For example, when the data selection information shown in FIG. 2 or FIG. 3 is input by the input device 10 such as a mouse, the diagnostic image data corresponding to the selected SUV value or tumor marker value is displayed on the display device 11. can do. For this purpose, the image information display unit 15 is configured to acquire search information of diagnostic image data from the diagnosis support information generation unit 14 and search the diagnostic image database 19 based on the search information.

  In response to the data update instruction information from the input device 10, the database update unit 16 uses the data acquired by the medical data acquisition unit 12 and the SUV value acquisition unit 13 in the examination statistical information database 18 and the diagnostic image database 19. It has a function of updating stored information. That is, the database update unit 16 adds the tumor marker value such as the PSA value and the SUV value of the subject to be diagnosed as desired test data such as diagnosis result information by the doctor to the test statistical information database 18 as test statistical information. And a function of writing diagnostic image data such as PET image data acquired from the PET / CT apparatus 2 or other modality 5 through the medical data acquisition unit 12 to the diagnostic image database 19.

  As described above, the SUV value changes depending on acquisition conditions such as data collection conditions. For this reason, it may not be desirable to add SUV values acquired under different conditions or tumor marker values measured under special conditions to the examination statistical information database 18. Therefore, the database update unit 16 notifies the user of confirmation information as to whether or not to additionally store the tumor marker value and SUV value to be diagnosed in the examination statistical information database 18 through the display device 11, and inputs them. A function of adding a tumor marker value and an SUV value, which are targeted for diagnosis only when receiving information on a storage instruction from the apparatus 10, to the examination statistical information database 18 can be provided.

  In addition, medical data other than the tumor marker value and the SUV value can be added to or updated in the examination statistical information database 18. For example, at the time of measuring tumor marker values and SUV values in health examinations, there are many cases where diagnostic results by biological tissue examination or close examination are not obtained. Therefore, as shown in FIG. 2 and FIG. 3, a determination result indicating that there is a suspicion of a malignant tumor is added to the examination statistical information database 18, and later when a more detailed diagnosis result is obtained by a biological tissue examination or a close examination. The diagnosis result can be updated with no suspicion of malignant tumor or malignant tumor. That is, the accuracy of diagnosis support can be improved by feeding back newly acquired medical data.

  The diagnostic report information creation unit 17 has a function of creating diagnostic report information by adding the diagnostic support information generated in the diagnostic support information generation unit 14 to the diagnostic result information input from the input device 10 by a user such as an interpretation doctor. Have Diagnostic image data displayed on the display device 11 by the image information display unit 15 can be added to the diagnostic report information as necessary. The generated diagnostic report information can be stored in the storage device 9 or displayed on the display device 11.

  Next, the operation and action of the medical data processing apparatus 1 will be described.

  FIG. 4 is a flowchart showing a flow when diagnostic support information is generated and displayed by the medical data processing apparatus 1 shown in FIG.

  First, in step S1, examination statistical information of a plurality of subjects, which associates tumor marker values with SUV values for each type of tumor marker and adds additional information such as search information of diagnostic image data, is stored in the medical data processing apparatus 1. It is stored in advance in the inspection statistical information database 18. That is, the medical data acquisition unit 12 acquires medical data as an element of examination statistical information via the network 7. Then, the database update unit 16 writes the medical data acquired from the medical data acquisition unit 12 in the examination statistical information database 18. The SUV value acquisition unit 13 acquires an SUV value in ROI based on the SUV value acquired from the medical data acquisition unit 12. Then, the database update unit 16 writes the SUV value in the ROI acquired from the SUV value acquisition unit 13 in the inspection statistical information database 18.

  Further, the database update unit 16 acquires diagnostic image data such as PET image data corresponding to the examination statistical information from the medical data acquisition unit 12 and writes it in the diagnostic image database 19.

  Thereby, preparations for performing a diagnosis such as a health check on the subject are completed. On the other hand, biochemical data such as a PSA value of a subject to be diagnosed is measured by the biochemical examination apparatus 3. Further, when a doctor's diagnosis result based on biochemical data is obtained, it is managed as diagnostic data in the diagnostic data management system 4.

  Next, in step S2, PET image data is collected from the subject to be diagnosed in the PET / CT apparatus 2. Further, the SUV value is calculated from the PET image data in the PET / CT apparatus 2.

  Next, in step S <b> 3, PET data of the subject to be diagnosed, tumor marker values such as SUV values and PSA values, and medical data such as diagnostic data are collected in the medical data processing apparatus 1. That is, the medical data acquisition unit 12 collects medical data of a subject to be diagnosed from the ME device such as the PET / CT apparatus 2, the biochemical examination apparatus 3, and the diagnostic data management system 4 via the network 7.

  Thereby, a user such as an interpretation doctor can comprehensively diagnose a subject to be diagnosed by referring to various medical data including PET image data collected in the medical data processing apparatus 1. It becomes like this. Then, a PET image of the subject to be diagnosed is displayed on the display device 11.

  Next, in step S4, the diagnosis support information generation unit 14 acquires the value of the tumor marker from the medical data acquisition unit 12, and when the value of the tumor marker is an abnormal value, the value of the tumor marker is an abnormal value. Warning information indicating the presence is displayed on the display device 11.

  For example, when the determination result that the value of the tumor marker is an abnormal value is attached as the accompanying information of the tumor marker value, the diagnosis support information generating unit 14 automatically refers to the accompanying information and automatically gives warning information. Can be generated. In addition, when only the value of the tumor marker is acquired, the diagnosis support information generation unit determines whether the value of the tumor marker is an abnormal value by comparing a preset threshold value with the value of the tumor marker. 14 can determine and automatically generate warning information.

  The information to be displayed on the display device 11 can also include a part where the value of the tumor marker or the value of the tumor marker becomes an abnormal value. For this reason, the user can easily know in advance whether or not there is a suspicion of the presence of a tumor when setting an ROI on a PET image and examining the SUV value. Also, setting ROI is easy.

  Next, in step S <b> 5, the user operates the input device 10, and ROI setting information is input to the SUV value acquisition unit 13 through the PET image displayed on the display device 11. Then, the SUV value acquisition unit 13 causes the display device 11 to display the SUV value in the ROI.

  Next, in step S6, the diagnosis support information generation unit 14 acquires the SUV value in the ROI from the SUV value acquisition unit 13, and determines whether or not the SUV value is an abnormal value. A threshold value can also be used for this determination process. In addition, the user may input information indicating whether or not the SUV value is an abnormal value from the input device 10 to the diagnosis support information generation unit 14.

  When the SUV value is an abnormal value, the diagnosis support information generation unit 14 causes the display device 11 to display the value of the tumor marker at the corresponding site. Thus, even if the tumor marker value is not an abnormal value, if the SUV value is an abnormal value, the user can easily check both the SUV value and the tumor marker value on the same screen. it can.

  That is, when at least one of the SUV value and the tumor marker value is an abnormal value by the automatic processing in step S4 and step S6, both the SUV value and the tumor marker value are displayed on the display device 11. For this reason, the user can easily recognize that it is important to perform comprehensive determination with reference to medical data of other subjects.

  Even if the SUV value and the tumor marker value are not abnormal values, the diagnosis support information generating unit 14 may receive the information on the display instruction of the SUV value and the tumor marker value by the user's button operation. Both the SUV value and the tumor marker value may be displayed on the display device 11.

  It is also important to make a comprehensive determination when a portion such as accumulation is observed in a PET image.

  In such a case, in step S7, the diagnosis support information generation unit 14 examines the relationship between the SUV value and the tumor marker value of another subject corresponding to the type of the tumor marker of the subject to be diagnosed. Information is read from the inspection statistical information database 18. Then, the diagnosis support information generation unit 14 generates plot data indicating the relationship between the SUV value and the value of the tumor marker from the examination statistical information, and the SUV value and tumor marker of the subject to be diagnosed on the generated plot data. Plot the value of.

  In addition, the diagnosis support information generation unit 14 generates information for identifying and displaying each data according to the diagnosis result by the doctor, and calculates a correlation coefficient between the SUV value and the tumor marker value for each diagnosis result. As a result, diagnosis support information as shown in FIG. 3 is created. The created diagnosis support information is displayed on the display device 11.

  This allows the user to comprehensively compare not only the PET image, SUV value and tumor marker value of the subject to be diagnosed, but also the SUV value, tumor marker value obtained in the past, and the diagnosis result by the doctor. Can make a more uniform diagnosis. In addition, diagnostic images of other subjects can be easily displayed.

  In that case, in step S <b> 8, the user operates the input device 10 to input data selection information on the plot data to the image information display unit 15. Then, the image information display unit 15 acquires the search information of the diagnostic image data corresponding to the selected data from the diagnosis support information generation unit 14 and searches the diagnostic image database 19 based on the search information. Then, the image information display unit 15 causes the display device 11 to display diagnostic image data corresponding to the selected data.

  For this reason, the user can perform diagnosis in consideration of diagnostic images of other subjects. That is, the diagnostic image of the subject to be diagnosed can be compared with the diagnostic image of another subject.

  Next, in step S <b> 9, the database update unit 16 notifies the user through the display device 11 of confirmation information as to whether or not to add the tumor marker value and SUV value to be diagnosed to the examination statistical information database 18. When the information on the addition instruction is received from the input device 10, the database update unit 16 adds the tumor marker value and the SUV value to be diagnosed to the examination statistical information database 18. Further, even when a doctor's diagnosis result is obtained by a close examination or a biological tissue examination, it is added to the examination statistical information database 18 as examination statistical information as necessary. Thereby, the precision of test | inspection statistical information can be improved.

  Next, in step S <b> 10, the diagnostic report information creation unit 17 creates diagnostic report information by adding the diagnostic support information generated in the diagnostic support information generation unit 14 to the diagnostic result information input from the input device 10. To do. Furthermore, the diagnostic report information creation unit 17 adds diagnostic image data of another subject to be compared to the diagnostic report information as necessary. Therefore, the user can easily create a diagnostic report.

  The diagnostic report information created by the diagnostic report information creation unit 17 is displayed on the display device 11 and stored in the storage device 9.

  In other words, the medical data processing apparatus 1 as described above supports diagnosis using the PET marker and SUV values collected by the PET / CT apparatus 2 or the PET apparatus, as well as the values of tumor markers and examination data of other subjects. Information is generated and the generated diagnosis support information is displayed.

  The medical data processing apparatus 1 also generates and generates diagnosis support information using index values obtained from nuclear medicine diagnosis image data in the case of performing a diagnosis using a nuclear medicine diagnosis apparatus such as a SPECT apparatus. Diagnosis support information can be displayed on the display device 11.

  For this reason, according to the medical data processing apparatus 1, it is possible to perform comprehensive diagnosis with reference to not only PET images and SUV values but also tumor marker values and examination data of a large number of subjects acquired in the past. It becomes. In addition, diagnostic images collected by other modalities 5 can be easily referred to.

  As a result, it is possible to reduce the dependence on the experience of the interpreting doctor, enable more objective diagnosis, and reduce the variation in the diagnosis result by the interpreting doctor. That is, it is possible to easily and uniformly determine whether a tumor is malignant or benign. In addition, the user can explain the diagnosis result by presenting more objective data to the diagnosis examinee.

  In other words, by effectively using various examination data, it is possible to improve diagnostic accuracy in a short time without adding unnecessary examinations.

  In particular, in a health checkup, test data is collected from an unspecified number of subjects with different health conditions. For this reason, a useful and highly accurate database can be constructed by sequentially adding a large number of inspection data to the inspection statistical information.

  Although specific embodiments have been described above, the described embodiments are merely examples, and do not limit the scope of the invention. The novel methods and apparatus described herein can be implemented in a variety of other ways. Various omissions, substitutions, and changes can be made in the method and apparatus described herein without departing from the spirit of the invention. The appended claims and their equivalents include such various forms and modifications as are encompassed by the scope and spirit of the invention.

DESCRIPTION OF SYMBOLS 1 Medical data processing apparatus 2 PET / CT apparatus 3 Biochemical examination apparatus 4 Diagnostic data management system 5 Modality 6 ME apparatus 7 Network 8 Arithmetic apparatus 9 Storage apparatus 10 Input apparatus 11 Display apparatus 12 Medical data acquisition part 13 SUV value acquisition part 14 Diagnosis support information generation unit 15 Image information display unit 16 Database update unit 17 Diagnostic report information creation unit 18 Examination statistical information database 19 Diagnostic image database

Claims (11)

A plurality of index values representing the degree of accumulation of in-vivo radioactive diagnostics obtained from nuclear medicine diagnostic image data for a plurality of subjects and a plurality of index values of tumor markers measured for the plurality of subjects for each subject Storage means for storing in association;
An index value representing a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, and the index for the plurality of subjects The diagnostic support information is generated by plotting a plurality of index values indicating the degree of accumulation of the in-vivo radioactive diagnostic agent and the plurality of index values of the tumor marker measured for the plurality of subjects. Diagnostic support information generating means for displaying on the display means;
A medical data processing apparatus comprising: The storage means stores diagnosis result information by a doctor for the plurality of subjects for each subject,
The medical data processing apparatus according to claim 1, wherein the diagnosis support information generation unit adds the diagnosis result information to the diagnosis support information. The diagnosis support information generation means, when it is determined that the index value of the tumor marker measured for the subject to be diagnosed is an abnormal value, or when the display instruction information is received from the input means , Information indicating that the index value of the tumor marker is an abnormal value, at least one of the index value of the tumor marker determined to be an abnormal value and the portion where the index value of the tumor marker has an abnormal value 2. The medical data processing apparatus according to claim 1, wherein the medical data processing apparatus is displayed on a display means. The diagnosis support information generation means determines that the index value indicating the degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed is an abnormal value, or displays instructions from the input means When the information of the tumor marker is received, the index value of the tumor marker measured for the subject to be diagnosed at the site where the index value indicating the degree of accumulation of the in-vivo radioactive diagnostic agent showed an abnormal value is displayed on the display means. The medical data processing apparatus according to claim 1, wherein the medical data processing apparatus is displayed. The diagnostic support information generation means includes an index value indicating a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, and an index value of the tumor marker measured for the subject to be diagnosed Based on the plurality of index values representing the accumulation degree of the in-vivo radioactive diagnostic agent for the plurality of subjects and the plurality of index values of the tumor marker measured for the plurality of subjects, At least one of a correlation coefficient between an index value indicating the degree of accumulation of the tumor marker and an index value of the tumor marker, an approximate line based on the correlation coefficient, and an approximate curve based on the correlation coefficient is added to the diagnosis support information The medical data processing apparatus according to claim 1. Whether to store in the storage means the index value indicating the degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed and the index value of the tumor marker measured for the subject to be diagnosed An indicator value indicating the degree of accumulation of the in-vivo radiodiagnostic agent calculated for the subject to be diagnosed only when information on whether or not to save is displayed on the display means and receiving information on storage instructions from the input means, and The medical data processing apparatus according to claim 1, further comprising database update means for adding an index value of the tumor marker measured for the subject to be diagnosed to the storage means. The diagnostic result information stored in the storage means is obtained when more detailed diagnostic result information than the diagnostic result information stored in the storage means is obtained for at least one of the plurality of subjects. The medical data processing apparatus according to claim 2, further comprising database update means for updating the detailed diagnosis result information. Diagnosis corresponding to an index value selected from a plurality of index values representing a degree of accumulation of the in-vivo radioactive diagnostic agent for the plurality of subjects and a plurality of index values of the tumor marker measured for the plurality of subjects The medical data processing apparatus according to claim 1, further comprising image display means for displaying an image on the display means. 2. The medical data processing apparatus according to claim 1, further comprising diagnostic report information creating means for creating diagnostic report information using the diagnostic support information. Computer
A plurality of index values representing the degree of accumulation of in-vivo radioactive diagnostics obtained from nuclear medicine diagnostic image data for a plurality of subjects and a plurality of index values of tumor markers measured for the plurality of subjects for each subject Storage means for storing in association; and
An index value representing a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, and the index for the plurality of subjects The diagnostic support information is generated by plotting a plurality of index values indicating the degree of accumulation of the in-vivo radioactive diagnostic agent and the plurality of index values of the tumor marker measured for the plurality of subjects. Diagnostic support information generating means for displaying on the display means,
Medical data processing program to function as. Data collection means for collecting nuclear medicine diagnostic image data and calculating an index value representing a degree of accumulation of the in-vivo radioactive diagnostic agent from the nuclear medicine diagnostic image data;
A plurality of index values representing the degree of accumulation of the in-vivo radioactive diagnostic agent obtained from nuclear medicine diagnostic image data for a plurality of subjects and a plurality of index values of tumor markers measured for the plurality of subjects for each subject Storage means for storing in association with
An index value representing a degree of accumulation of the in-vivo radioactive diagnostic agent calculated for the subject to be diagnosed, an index value of the tumor marker measured for the subject to be diagnosed, and the index for the plurality of subjects The diagnostic support information is generated by plotting a plurality of index values indicating the degree of accumulation of the in-vivo radioactive diagnostic agent and the plurality of index values of the tumor marker measured for the plurality of subjects. Diagnostic support information generating means for displaying on the display means;
A nuclear medicine diagnostic apparatus.

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