JP2017189237A - Image reading support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image reading support device capable of improving image reading quality.SOLUTION: An image reading support device 500 includes an extraction part 552 and a notification part 554. The extraction part 552 extracts an object item which is different from an item for image reading according to contents of an examination for a subject, and is an object for the image reading from an X-ray diagnostic device, an X-ray CT device and the like based on a medical image collected from the subject. The notification part 554 notifies an operator of the object item extracted by the extraction part 552.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to an interpretation support apparatus.

  A medical image generated by a medical imaging apparatus such as an X-ray CT (Computed Tomography) apparatus or an MRI (Magnetic Resonance Imaging) apparatus is interpreted by an interpreting doctor. An interpreting doctor interprets a medical image and creates an interpretation report, or attaches accompanying information such as annotation and measurement information to the medical image. Here, when interpreting a medical image, an interpreting doctor interprets items according to request information (order information) requested by a clinician, but interprets other items according to his / her own judgment. For example, an interpreting doctor interprets a cerebral infarction or a cerebral aneurysm just in case of a head MR image requested to interpret brain metastasis of prostate cancer. In addition, for example, an interpreting physician interprets scoliosis that has been treated three years ago for the sake of safety in the chest CT image requested to interpret the main lesion of lung cancer.

Japanese Patent Application Laid-Open No. 2006-074416 Japanese Patent Laying-Open No. 2015-095050 JP 2010-055130 A JP 2010-128971 A JP 2009-084442 A

  The problem to be solved by the present invention is to provide an interpretation support apparatus capable of improving the quality of interpretation.

  The image interpretation support apparatus according to the embodiment includes an extraction unit and a notification unit. The extraction unit extracts a target item that is a different item from the interpretation item according to the content of the examination on the subject and is a subject of interpretation based on the medical image collected from the subject. The notification unit notifies the target item extracted by the extraction unit.

FIG. 1 is a diagram illustrating an example of a configuration of an image interpretation terminal according to the first embodiment. FIG. 2 is a diagram for explaining an overview of processing by the image interpretation terminal according to the first embodiment. FIG. 3 is a diagram illustrating an example of a list master according to the first embodiment. FIG. 4A is a diagram illustrating an example of an additional rule according to the first embodiment. FIG. 4B is a diagram illustrating an example of an additional rule according to the first embodiment. FIG. 5 is a diagram for explaining an example of initial item extraction by the extraction function according to the first embodiment. FIG. 6 is a diagram for explaining an example of item extraction based on biopsy information by the extraction function according to the first embodiment. FIG. 7 is a diagram for explaining an example of item extraction based on past information by the extraction function according to the first embodiment. FIG. 8 is a diagram for explaining an example of selection of items based on medical image data information by the extraction function according to the first embodiment. FIG. 9 is a diagram illustrating an example of display processing by the notification function according to the first embodiment. FIG. 10 is a diagram showing an interpretation target list update process by the notification function according to the first embodiment. FIG. 11 is a diagram illustrating an example of the display of the interpretation result by the notification function according to the first embodiment. FIG. 12 is a diagram illustrating an example of generation of an interpretation report by the generation function according to the first embodiment. FIG. 13 is a flowchart illustrating a processing procedure performed by the image interpretation terminal according to the first embodiment. FIG. 14 is a diagram illustrating an example of a list master according to the second embodiment.

  Hereinafter, an embodiment of an interpretation support apparatus according to the present application will be described in detail with reference to the accompanying drawings. The image interpretation support apparatus according to the present application is not limited to the embodiment described below.

(First embodiment)
First, the first embodiment will be described. In the first embodiment, an example in which the technique disclosed in the present application is applied to an interpretation terminal will be described. FIG. 1 is a diagram illustrating an example of a configuration of an image interpretation terminal according to the first embodiment. For example, as illustrated in FIG. 1, an interpretation terminal 500 according to the first embodiment is connected to a medical image diagnostic apparatus 100, an image storage apparatus 200, a user terminal 300, and a management server 400 via a network 2. Connected. Each apparatus illustrated in FIG. 1 is in a state where it can communicate with each other directly or indirectly by, for example, a hospital LAN (Local Area Network) installed in a hospital.

  Here, for example, a PACS (Picture Archiving and Communication System) can be introduced into the medical information processing system 1 of FIG. In addition, each device in the medical information processing system 1 illustrated in FIG. 1 can transmit and receive medical images and the like in accordance with DICOM (Digital Imaging and Communications in Medicine) standards. In the medical information processing system 1, for example, HIS (Hospital Information System), RIS (Radiology Information System), etc. are introduced, and various information can be managed. In FIG. 1, one medical image diagnostic apparatus 100, one image storage apparatus 200, one user terminal 300, one management server 400, and one interpretation terminal 500 are shown, but the number of each apparatus is arbitrary.

  The medical image diagnostic apparatus 100 includes an X-ray diagnostic apparatus, an X-ray CT (Computed Tomography) apparatus, an MRI (Magnetic Resonance Imaging) apparatus, an ultrasonic diagnostic apparatus, a SPECT (Single Photon Emission Computed Tomography) apparatus, and a PET (Positron Emission computed Tomography). ) Apparatus, a SPECT-CT apparatus in which a SPECT apparatus and an X-ray CT apparatus are integrated, a PET-CT apparatus in which a PET apparatus and an X-ray CT apparatus are integrated, or a group of these apparatuses. The medical image diagnostic apparatus 100 can generate three-dimensional medical image data (volume data). The medical image diagnostic apparatus 100 is also called a modality apparatus.

  For example, the medical image diagnostic apparatus 100 acquires patient information from the order information directly received from the user terminal 300 or the patient list (modality work list) for each modality apparatus created by the management server 400 that has received the order information. Medical image data for each patient is collected. Then, the medical image diagnostic apparatus 100 transmits the collected medical image data to the image interpretation terminal 500, the management server 400, and the image storage apparatus 200. Note that the medical image diagnostic apparatus 100 performs image interpretation terminal 500 and management on image data generated by performing various types of image processing on collected medical image data (for example, X-ray CT image data and MR image data). It can also be transmitted to the server 400 and the image storage device 200. In addition, when the medical image diagnostic apparatus 100 transmits medical image data or image data to the management server 400, for example, as supplementary information, for example, a patient ID that identifies a patient, an examination ID that identifies an examination, and the medical image diagnostic apparatus 100 A device ID for identifying the image, an image series ID for identifying one shot by the medical image diagnostic apparatus 100, and the like are transmitted.

  The image storage device 200 stores image data collected by various medical image diagnostic apparatuses. For example, the image storage device 200 stores medical image data collected by the medical image diagnostic device 100, image data generated by performing image processing on the medical image data, and the like. Further, the image storage device 200 stores the image data generated by the image interpretation terminal 500. The image storage device 200 is realized by a computer device such as a server device.

  The user terminal 300 is a device that is arranged in each medical department in the hospital and is operated by a doctor (clinician) who works in each medical department, and is a PC (Personal Computer), a tablet PC, or a PDA (Personal Digital Assistant). Mobile phone etc. For example, the user terminal 300 performs various processes and image data display in accordance with operations by doctors in each medical department. For example, in the user terminal 300, medical record information such as a patient's symptom and a doctor's findings is input by a doctor. In addition, the user terminal 300 receives order information for requesting an examination by the medical image diagnostic apparatus 100 and transmits the input order information to the medical image diagnostic apparatus 100 and the management server 400. That is, the doctor in the medical department operates the user terminal 300 to read the reception information and electronic medical record information of the patient who has visited the hospital, perform examination of the corresponding patient, and input the medical record information to the read electronic medical record. Then, the doctor in the medical department operates the user terminal 300 to transmit the order information according to whether or not the examination by the medical image diagnostic apparatus 100 is necessary.

  Further, the user terminal 300 acquires image data corresponding to the operation of the doctor from the image storage device 200, and displays the acquired image data on a display unit such as a monitor. The medical image data and image data stored in the image storage device 200 are stored in association with the patient ID, examination ID, device ID, image series ID, and the like. For this reason, the user terminal 300 can acquire necessary medical image data and image data from the image storage device 200 by performing a search using a patient ID, an examination ID, a device ID, an image series ID, and the like.

  The management server 400 manages various information related to the inspection. For example, the management server 400 receives a plurality of order information from the user terminals 300 arranged in each medical department, creates a patient list for each medical image diagnostic apparatus 100, and uses the created patient list for each medical image diagnosis. Transmit to device 100. For example, the management server 400 receives order information for performing an examination by the medical image diagnostic apparatus 100 from the user terminal 300 of each clinical department, creates a patient list, and uses the created patient list as a medical image. It transmits to the diagnostic apparatus 100.

  The interpretation terminal 500 is, for example, a device that is arranged in a radiology department and is operated by an interpretation doctor, and performs various image processing and image data display according to the operation of the interpretation doctor. The image interpretation doctor performs image interpretation using the image data displayed on the image interpretation terminal 5. For example, the interpretation terminal 500 acquires medical image data from the medical image diagnostic apparatus 100 or the image storage apparatus 200 in accordance with an operation by the interpretation doctor. Then, the interpretation terminal 500 performs various image processing on the acquired medical image data in accordance with an operation by the interpretation doctor to generate image data. The image interpretation terminal 500 stores the generated image data in the image storage device 200. The interpretation terminal 500 generates report information after interpretation according to the operation of the interpreting physician. For example, the interpretation terminal 500 includes an I / F (interface) circuit 510, an input circuit 520, a display 530, a storage circuit 540, and a processing circuit 550, as shown in FIG.

  The I / F circuit 510 is connected to the processing circuit 550, and stores various data performed between the various medical image diagnostic apparatuses 100, the image storage apparatus 200, the user terminal 300, or the management server 400 connected via a network. Control transmission and communication. For example, the I / F circuit 510 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like.

  The input circuit 520 includes a pointing device such as a mouse, a keyboard, and the like. The input circuit 520 receives input of various operations for the interpretation terminal 500 from the interpretation doctor, and transfers instructions and setting information received from the interpretation doctor to the processing circuit 550. For example, the input circuit 520 receives a medical image data acquisition request, image processing conditions, and the like from an interpreting doctor. The input circuit 520 described in the present embodiment is an example of a reception unit described in the claims.

  The display 530 is a monitor referred to by the operator, displays image data to the operator under the control of the processing circuit 550, and accepts various instructions and various settings from the operator via the input circuit 520. For example, a GUI (Graphical User Interface) is displayed. In addition, the display 530 displays, for example, information on items to be interpreted for each examination. The items to be interpreted will be described in detail later.

  The storage circuit 540 is, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage circuit 540 includes the medical image diagnostic apparatus 100 and the image storage apparatus 200. The acquired medical image data and image data are stored. In addition, the storage circuit 540 stores the processing result by the processing circuit 550. The storage circuit 540 stores a list master 541, an additional rule 542, and the like as shown in FIG. Details of the list master 541 and the additional rule 542 will be described later.

  The processing circuit 550 performs overall control of the image interpretation terminal 500. Specifically, the processing circuit 550 executes medical image acquisition processing, image processing, image display, and the like in accordance with the instruction transferred from the input circuit 520. For example, the processing circuit 550 executes an acquisition function 551, an extraction function 552, a generation function 553, and a notification function 554 as shown in FIG. Here, for example, each processing function executed by the acquisition function 551, the extraction function 552, the generation function 553, and the notification function 554, which are components of the processing circuit 550 shown in FIG. 1, is stored in the form of a program that can be executed by a computer. Recorded in the circuit 540. The processing circuit 550 is a processor that implements a function corresponding to each program by reading each program from the storage circuit 540 and executing the program. In other words, the processing circuit 550 in a state where each program is read has each function shown in the processing circuit 550 of FIG. The extraction function 552 described in this embodiment is an example of the extraction unit described in the claims. The generation function 553 is an example of a generation unit described in the claims. The notification function 554 is an example of a notification unit described in the claims.

  The term “processor” used in the above description is, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an application specific integrated circuit (ASIC), a programmable logic device ( For example, it means circuits such as a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA). The processor implements a function by reading and executing a program stored in the storage circuit. Instead of storing the program in the storage circuit, the program may be directly incorporated in the processor circuit. In this case, the processor realizes the function by reading and executing the program incorporated in the circuit. Note that each processor of the present embodiment is not limited to being configured as a single circuit for each processor, but may be configured as a single processor by combining a plurality of independent circuits to realize the function. Good.

  Under such a configuration, the interpretation terminal 500 according to the present embodiment makes it possible to improve the quality of interpretation. Specifically, the interpretation terminal 500 extracts items other than the interpretation items corresponding to the examination order information based on the collected medical image data information, and extracts the extracted items in addition to the interpretation items corresponding to the order information. The quality of interpretation is improved by notifying the item as an item to be interpreted. Hereinafter, an outline of the present embodiment will be described with reference to FIG. FIG. 2 is a diagram for explaining an overview of processing by the image interpretation terminal 500 according to the first embodiment.

  For example, as shown in FIG. 2, the interpretation terminal 500 is a list of items to be interpreted using “list master”, “order information”, “biopsy information”, and “examination image”. Generate an “interpretation target list”. Here, the list master is information in which a modality device, a target part, an imaging method, and the like are associated with each item, and is stored by the storage circuit 540. FIG. 3 is a diagram illustrating an example of the list master 541 according to the first embodiment. For example, the list master 541 is information in which “item name” and “inspection condition” are associated with each other as shown in FIG. Here, “item name” indicates an interpretation item, and “inspection condition” indicates an inspection condition when the “item name” is interpreted. For example, as shown in FIG. 3, the list master 541 is information in which “item name: prostate cancer> main lesion” and “examination condition examination type: MR, detailed site: prostate” are associated with each other. That is, the above-described information means that the “prostate” examination by the “MRI apparatus” is suitable for interpreting the “main lesion” of “prostate cancer”.

  Similarly, as shown in FIG. 3, the list master 541 includes information that associates “item name: prostate cancer> brain metastasis” with “examination condition examination type: MR, detailed site: head”, and “item Name: prostate cancer> lung metastasis ”and“ examination condition examination type: CT, detailed site: lung ”are associated with each other. As described above, the list master 541 is stored as information in which examination contents suitable for each interpretation item are associated. Here, the list master 541 accumulates information from the contents of the interpretation performed so far and the contents of the examination performed at that time. That is, the list master 541 is accumulated based on the result information indicating what interpretation has been performed using medical image data of a predetermined part collected by a predetermined imaging method of a predetermined modality device. Therefore, the list master 541 is updated as appropriate based on performance information for each hospital (for each interpretation doctor) or new knowledge proposed by an academic society or the like.

  As shown in FIG. 2, the interpretation terminal 500 extracts items to be interpreted from the list master 541 based on biopsy information and examination images in addition to order information in each examination on the subject. Then, the interpretation target list is generated. Here, for example, as a list of interpretation targets, “prostate cancer> main lesion”, “prostate cancer> lymph node metastasis”, “prostate cancer> brain metastasis”, “prostate cancer> bone metastasis”, “cerebral infarction” shown in FIG. ”And“ brain tumor ”are extracted, the interpretation terminal 500 generates the interpretation target list in the next examination of the same subject (ie,“ prostate cancer> main lesion ”,“ prostate cancer> Lymph node metastasis ”,“ prostate cancer> brain metastasis ”,“ prostate cancer> bone metastasis ”,“ cerebral infarction ”, and“ brain tumor ”).

  As described above, the interpretation terminal 500 according to the first embodiment is based not only on the interpretation items obtained from the order information, but also on the basis of examination images and biopsy information obtained by examination, examination history (historical history). The quality of interpretation is improved by extracting the items to be interpreted and notifying the interpreting physician. Hereinafter, details of processing by the image interpretation terminal 500 according to the first embodiment will be described.

  An acquisition function 551 executed by the processing circuit 550 acquires a medical image to be interpreted from the medical image diagnostic apparatus 100 or the image storage apparatus 200 via the I / F circuit 510 and stores the medical image in the storage circuit 540. . For example, the acquisition function 551 is generated from data such as projection data and MR signals, volume data reconstructed from the data, and volume data generated based on information input from the operator via the input circuit 520. Image data and the like are acquired and stored in the storage circuit 540. The acquisition function 551 acquires order information for each subject input from the user terminal 300, biopsy information, and the like.

  The extraction function 552 is an item that is different from the interpretation item corresponding to the content of the examination on the subject and extracts the target item to be interpreted based on the medical image collected from the subject. Specifically, the extraction function 552 includes at least one of correspondence information that associates examination conditions with interpretation items, information on the history of the subject and biopsy information on the subject, attribute information on the medical image, and analysis. A target item is extracted based on a collation result with image information including information. That is, the extraction function 552 includes the order information, the history information of the subject, the interpretation items derived from the list master 541 based on the biopsy information, and the image information of the actually collected medical image data. Match. Then, the extraction function 552 interprets using the actually collected medical image data among the interpretation items derived from the list master 541 based on the order information, the history information of the subject, and the biopsy information. Items that can be read are extracted as interpretation target items.

  Here, the image information of the medical image data includes the information on the modality device that collected the medical image data, the information on the target part, the attribute information including the type information of the medical image data, the analysis information on the medical image data, and the like. . For example, the extraction function 552 specifies items that can be interpreted using the collected medical image data based on the attribute information and analysis information of the medical image data. Here, the extraction function 552 acquires the attribute information of the medical image data from the incidental information of the medical image data and the order information, and extracts the target item based on the acquired attribute information.

  Further, the extraction function 552 acquires part information included in the medical image data by executing an analysis process for extracting a part included in the medical image data, and extracts a target item based on the acquired part information. To do. For example, the extraction function 552 extracts a part such as an organ included in three-dimensional medical image data (volume data), image data generated from the volume data, or medical image data collected two-dimensionally. For example, the extraction function 552 detects a part such as an organ included in volume data or image data based on an anatomical feature point (Anatomical Landmark). Here, the anatomical feature point is a point indicating a feature of a part such as a specific bone, organ, blood vessel, nerve, or lumen. That is, the extraction function 552 extracts bones, organs, blood vessels, nerves, lumens, and the like included in volume data and image data by detecting anatomical feature points such as specific organs and bones. The extraction function 552 can also detect positions of the head, neck, chest, abdomen, feet, etc. included in the volume data by detecting characteristic feature points of the human body.

  The generation function 553 generates information indicating items to be interpreted by the extraction function 552. Specifically, the generation function 553 generates display information indicating the items extracted by the extraction function 552. For example, the generation function 553 generates the interpretation target list shown in FIG. The generation function 553 generates image data for display by executing various processes on the data collected by the medical image diagnostic apparatus 100. For example, the generation function 553 reconstructs volume data using data such as projection data and MR signals stored by the storage circuit 540. The generation function 553 generates image data by performing various types of image processing on the volume data.

  Also, the generation function 553 generates an interpretation report that reflects the interpretation result by the interpretation doctor. Specifically, the generation function 553 generates an interpretation report according to the content input by the interpretation doctor via the input circuit 520. Here, the generation function 553 generates an interpretation report that reflects information on the items that have been implemented in the interpretation target list. For example, the input circuit 520 receives information on an executed item in the interpretation target list. The generation function 553 adds a template corresponding to the received item to the interpretation report.

  The notification function 554 notifies the target item extracted by the extraction function 552. Specifically, the notification function 554 displays items to be interpreted on a display 530 that displays medical images collected from the subject. That is, the notification function 554 is extracted from the interpretation items obtained from the order information, medical image data, biopsy information, and examination history (historical history) on the display 530 on which the interpretation doctor observes and interprets the image data. The interpretation target list including the items to be interpreted is displayed. Further, the notification function 554 displays the interpretation report generated by the generation function 553 on the display 530.

  As described above, the interpretation terminal 500 according to the first embodiment is based on the actually collected medical image data, biopsy information, and examination history (past history) in addition to the interpretation items obtained from the order information. Thus, by extracting the items to be interpreted and notifying the interpreting physician, interpretation of items other than the order information can be promoted, and the quality of the interpretation can be improved. Hereinafter, an example of processing by the image interpretation terminal 500 will be described. Here, in the following, a case will be described in which a priority is assigned to an interpretation item, and an interpretation target list in which priority information is displayed for each item is displayed.

  For example, in the interpretation terminal 500 according to the first embodiment, the storage circuit 540 stores the additional rule 542. The additional rule 542 is information for setting a priority for the interpretation item. 4A and 4B are diagrams illustrating an example of the additional rule 542 according to the first embodiment. Here, in FIG. 4A, an additional rule 542 for setting a priority to an interpretation item based on order information is shown. Further, FIG. 4B shows an additional rule 542 for setting a priority for an interpretation item based on biopsy information.

  For example, as shown in FIG. 4A, an additional rule 542 for setting a priority for an interpretation item based on order information includes “clinical disease name”, “examination purpose”, “list item No.”, “ The information is associated with “priority”. Here, “clinical disease name” indicates the disease name included in the order information for each subject, “test purpose” indicates the purpose of the test included in the order information for each subject, and “list item No.” indicates the list master. “No.” of the item 541 is shown, and “priority” indicates the priority of interpretation. For example, as shown in FIG. 4A, the additional rule 542 for setting the priority to the interpretation item based on the order information includes “clinical disease name: prostate cancer”, “examination purpose: close examination”, “list item” No .: 1 ”and“ priority: 5 ”are associated with each other. That is, the above-described information includes items in which “clinical disease name” is “prostate cancer”, “examination purpose” is “final examination”, and “No.” in the list master 541 is “1” included in the order information. Is added to the interpretation target list with “priority: 5”.

  As described above, in the additional rule 542 for setting the priority to the interpretation item based on the order information, the “clinical disease name” and the “examination purpose” are associated with the priority for each interpretation item corresponding thereto. Here, the “inspection purpose” includes, for example, “screening” and “follow-up” as shown in FIG. In the additional rule 542, even when the “clinical disease name” and the interpretation item (list item No.) are the same, different “priorities” are associated with each other according to the “examination purpose”. For example, in the additional rule 542, even if the “clinical disease name” is “prostate cancer” and the “list item No.” is “1”, the “examination purpose” is “final examination”, “screening”, “follow” In the case of “up”, the priority is associated with each. As an example, when the “inspection purpose” is “final inspection” or “follow-up” under the above-described conditions, as shown in FIG. 4A, the highest “priority” “5” is associated. It is done. Further, when “examination purpose” is “screening” under the above-described conditions, “3”, which is a medium “priority”, is associated as shown in FIG. 4A. It should be noted that the “priority” included in the additional rule 542 for setting the priority for the interpretation item based on the order information can be arbitrarily set.

  Further, for example, as shown in FIG. 4B, the additional rule 542 for setting the priority for the interpretation item based on the biopsy information includes “condition”, “list item No.”, “priority”, and Is information associated with each other. Here, “condition” indicates a condition provided in the result of biopsy, “list item No.” indicates “No.” of an item of the list master 541, and “priority” indicates a priority of interpretation. . For example, as shown in FIG. 4B, an additional rule 542 for setting a priority for an interpretation item based on biopsy information is “condition: PSA (Prostate-Specific Antigen)> 4.0 ng / ml”, “ This is information in which “list item No .: 1” is associated with “priority: 5”. “PSA” is a “prostate specific antigen” and is a protein that increases due to diseases such as prostate cancer, benign prostatic hyperplasia and prostatitis. That is, in the above-described information, when the value exceeds “4.0 ng / ml” in the “PSA” inspection, the item “No.” of the list master 541 is “1”, and “priority: 5 ”Means to add to the interpretation target list.

  As described above, in the additional rule 542 for setting the priority to the interpretation item based on the biopsy information, the priority is associated with the “condition” and the corresponding interpretation item. Here, the biopsy information includes specimen information such as a tumor marker, physiological information such as various vital data, and the like. Therefore, in addition to the above-described “PSA” condition, the condition of the additional rule 542 for setting the priority to the interpretation item based on the biopsy information includes, for example, “expansion period” as shown in FIG. 4B. It also includes conditions such as “blood pressure” and “systolic blood pressure”. It should be noted that the “priority” included in the additional rule 542 for setting the priority for the interpretation item based on the biopsy information can be arbitrarily set.

  The extraction function 552 according to the first embodiment uses the additional rule 542 described above to extract items to be interpreted. For example, the extraction function 552 first extracts a base interpretation item (initial item) based on the subject order information, the list master 541, and the additional rule 542. That is, the extraction function 552 extracts an initial item that is an interpretation item based on the order information requested for the current examination. FIG. 5 is a diagram for explaining an example of initial item extraction by the extraction function 552 according to the first embodiment.

  For example, as shown in FIG. 5, when the order information acquired by the acquisition function 551 is “clinical disease name: prostate cancer, examination purpose: detailed examination, requested department comment :, past history:... The function 552 refers to the list master 541 (for example, FIG. 3) and an additional rule 542 (for example, FIG. 4A) for setting the priority for the interpretation items based on the order information, and the initial items to be included in the interpretation target list. To extract. For example, the extraction function 552 obtains “list item No .: 1 to 5” corresponding to “clinical disease name: prostate cancer, examination purpose: close examination” in the additional rule 542, and obtains the obtained “list item no. .: 1 to 5 ”are extracted.

  That is, as shown in the lower diagram of FIG. 5, the extraction function 552 reads “item name: prostate cancer> main lesion, examination condition, examination type: MR, detailed site: prostate” and “item name: prostate” from the list master 541. Prostate cancer> Brain metastasis, examination condition Examination type: MR, detailed site: head ”and“ Item name: Prostate cancer> Lung metastasis, examination condition Examination type: CT, detailed site: lung ”,“ Item name: Prostate Cancer> bone metastasis, examination condition Examination type: CT, detailed site: whole body ”and“ item name: prostate cancer> bone metastasis, examination condition Examination type: bone scinti, detailed site: whole body ”are extracted. Here, “priority: 5” set in the additional rule 542 is associated with each item.

  Next, the extraction function 552 extracts an interpretation item to be added to the initial item based on the biopsy information of the subject, the list master 541, and the addition rule 542. That is, the extraction function 552 extracts an interpretation item based on biopsy information of the subject of the current examination. FIG. 6 is a diagram for explaining an example of item extraction based on biopsy information by the extraction function 552 according to the first embodiment.

  For example, as shown in FIG. 6, when the biopsy information acquired by the acquisition function 551 is “PSA: 5.0 ng / ml, diastolic blood pressure: 100 mmHg, systolic blood pressure: 145 mmHg,. The function 552 refers to the list master 541 (for example, FIG. 3) and an additional rule 542 (for example, FIG. 4B) for setting the priority of the interpretation based on the biopsy information, and is included in the interpretation target list. Extract items. For example, the extraction function 552 indicates that “PSA” is “5.0 ng / ml” satisfying “condition: PSA> 4.0 ng / ml” in the obtained biopsy information of the subject. , With reference to the addition rule 542, the item “list item No.” is “1” is added with “priority: 5”. That is, the extraction function 552 extracts “item name: prostate cancer> main lesion, examination condition, examination type: MR, detailed site: prostate” with “priority: 5” for generation of the interpretation target list. Here, in the example of FIG. 6, since “item name: prostate cancer> main lesion, examination condition, examination type: MR, detailed site: prostate” is already included in the initial item, the extraction function 552 is used here. Omit additional processing. As described above, the extraction function 552, when extracting the item based on the order information and the item extracting based on the biopsy information, extracts the priority corresponding to each additional rule 542. Among them, a high priority is set.

  In addition, the extraction function 552 is “diastolic blood pressure: 100 mmHg, systolic blood pressure: 145 mmHg” in the biopsy information of the acquired subject, and satisfies “condition: diastolic blood pressure> 90 mmHgor systolic blood pressure> 140 mmHg”. Then, with reference to the addition rule 542, items with “list item No.” of “8” and “9” are added with “priority: 4”. That is, as shown in the lower diagram of FIG. 6, the extraction function 552 reads “item name: cerebral aneurysm, examination condition, examination type: MR, detailed part: head” and “item name: brain” from the list master 541. Aneurysm, examination conditions Examination type: CT, detailed part: head ”are extracted. Here, “priority: 4” set in the additional rule 542 is associated with each item.

  Next, the extraction function 552 extracts an interpretation item to be added to the initial item based on the past interpretation target list of the subject to be examined this time. That is, the extraction function 552 acquires a previously generated interpretation target list for the subject of the current examination, and adds items included in the acquired interpretation target list as items of the current interpretation target list. Here, the extraction function 552 can extract items to be added to the current interpretation target list among the items included in the past interpretation target list based on the past interpretation results. That is, the extraction function 552 extracts an item that is “abnormal” in the past interpretation as an item to be added to the current interpretation target list. Here, “abnormal” means that an interpretation result “suspected of tumor” is obtained based on a shadow or the like in image data. In the present embodiment, the image data having an image characteristic such as a shadow is simply referred to as “finding”. FIG. 7 is a diagram for explaining an example of item extraction based on past information by the extraction function 552 according to the first embodiment.

  For example, as shown in FIG. 7, the past interpretation target list acquired by the acquisition function 551 includes “item name: cerebral infarction, examination condition, examination type: MR, detailed part: head, priority: 5, result: abnormality. If “Yes” is included, the extraction function 552 extracts “item name: cerebral infarction, examination condition, examination type: MR, detailed part: head” from the list master 541 as shown in the lower diagram of FIG. , “Priority: 5” is associated.

  Next, the extraction function 552 performs selection of the extracted items based on the medical image data actually collected in the current examination. That is, the extraction function 552 selects only items that can be interpreted using the medical image data collected this time among the items extracted by the above-described processing. Here, the extraction function 552 uses attribute information and analysis information of medical image data in order to determine items that can be interpreted using medical image data collected this time. For example, the extraction function 552 refers to the supplementary information of the medical image data, identifies which part of the medical image data collected this time is targeted, and interprets the interpretation item for the identified part. Judge as an item that can be interpreted. In addition, the extraction function 552 can execute a part extraction analysis process on medical image data, thereby specifying a detailed part included in the medical image data and interpreting an interpretation item for the specified part. Judge as an item.

  FIG. 8 is a diagram for explaining an example of selection of items based on medical image data information by the extraction function 552 according to the first embodiment. For example, as shown in FIG. 8, when the information of the examination image is “examination type: MR, part: whole body, detailed part: head, lung, prostate,...”, The extraction function 552 is shown in FIG. Of the items shown, only items that can be interpreted by the above-described medical image data are selected. That is, as shown in the lower diagram of FIG. 8, the extraction function 552 reads “item name: prostate cancer> main lesion, examination condition, examination type: MR, detailed site: prostate, priority: 5 from the items shown in FIG. “Item name: Prostate cancer> Brain metastasis, examination condition Examination type: MR, detailed part: head, priority: 5”, “Item name: Cerebral infarction, examination condition Examination type: MR, detailed part: “Head” and “Item Name: Cerebral Aneurysm, Examination Condition Examination Type: MR, Detailed Part: Head” are selected.

  As described above, when the extraction function 552 extracts an interpretation item to be included in the interpretation target list, the generation function 553 generates an interpretation target list including the extracted interpretation item. For example, the generation function 553 includes “item name: prostate cancer> main lesion, examination condition, examination type: MR, detailed site: prostate, priority: 5” and “item name: prostate cancer> brain shown in the lower part of FIG. Metastasis, examination conditions Examination type: MR, detailed site: head, priority: 5, "Item name: cerebral infarction, examination condition Examination type: MR, detailed site: head", "Item name: cerebral artery An interpretation target list including an aneurysm, an inspection condition, an inspection type: MR, and a detailed part: head is generated.

  The notification function 554 causes the display 530 to display the interpretation target list generated by the generation function 553. FIG. 9 is a diagram illustrating an example of display processing by the notification function 554 according to the first embodiment. For example, as shown in FIG. 9, the notification function 554 displays order information “clinical disease name: prostate cancer, examination purpose: detailed examination, requested department comment :, past history :,...” And examination image. The interpretation target list generated by the generation function 553 is displayed on the display 530. Here, the notification function 554 displays the priority of each item included in the interpretation target list so that it can be identified. For example, the notification function 554 changes the notification of the item according to the priority of the item. For example, as shown in the interpretation target list of FIG. 9, the notification function 554 displays items with high priority on the upper side and items with low priority on the lower side. In the case where the priorities are the same, for example, the notification function 554 displays the item based on the order information of the current examination on the uppermost side and displays the item based on the past history or biopsy information on the lower side. It may be.

  Here, the interpretation terminal 500 according to the first embodiment can also edit the interpretation target list generated and displayed by the processing circuit 550. Specifically, when the input circuit 520 receives an input operation for item addition or item deletion from the interpreting doctor, the generation function 553 generates an interpretation target list to which the item for which the input operation has been added is added (or deleted). To do. The notification function 554 updates the display of the interpretation target list so that the generated interpretation target list is displayed. FIG. 10 is a diagram showing an interpretation target list update process by the notification function 554 according to the first embodiment.

  For example, the input circuit 520 receives an operation of adding the items “item name: prostate cancer> lymph node metastasis” and “item name: prostate cancer> bone metastasis”. The generation function 553 generates an interpretation target list in which “item name: prostate cancer> lymph node metastasis” and “item name: prostate cancer> bone metastasis” that have been accepted for the item addition operation are added to the interpretation target list illustrated in FIG. 9. Generate. As shown in FIG. 10, the notification function 554 interprets the interpretation target list displayed on the display 530 by adding “item name: prostate cancer> lymph node metastasis” and “item name: prostate cancer> bone metastasis”. Update to the target list.

  In addition, the interpretation terminal 500 according to the first embodiment can input an interpretation result to the interpretation target list. Specifically, the input circuit 520 accepts an input operation of the interpretation result, and the notification function 554 displays information indicating the interpretation result in the interpretation target list. Here, the interpretation result includes whether or not interpretation has been performed, whether or not there is an abnormality, and whether or not there is a finding. That is, the notification function 554 displays an interpretation target list indicating these interpretation results. FIG. 11 is a diagram illustrating an example of display of an interpretation result by the notification function 554 according to the first embodiment.

  For example, as shown in FIG. 11, the notification function 554 displays an interpretation target list indicating whether or not the interpretation is performed depending on whether or not a check box corresponding to each interpretation item is checked. Further, as shown in FIG. 11, the notification function 554 checks the check boxes according to different colors for “no abnormality, no finding”, “no abnormality, no finding”, and “no abnormality, no finding”. The interpretation target list indicating whether there is an abnormality and whether there is a finding is displayed. For example, the image interpretation doctor performs image interpretation while referring to the image interpretation target list shown in FIG. 11, and adds a check indicating the result of the image interpretation to each check box.

  Here, in the interpretation terminal 500 according to the first embodiment, it is also possible to display image data in conjunction with the displayed interpretation target list. For example, when the input circuit 520 receives an operation for specifying an item to be interpreted, the generation function 553 generates image data suitable for the specified item. Then, the notification function 554 updates the image data displayed on the display 530 to the generated image data. For example, when the interpretation doctor selects an item included in the interpretation target list via the input circuit 520, the generation function 553 generates image data suitable for the selected item. Then, the notification function 554 updates the display image to the generated image as shown in FIG.

  In addition, the interpretation terminal 500 according to the first embodiment can generate an interpretation report according to the interpretation result so that the interpretation result is reflected in the interpretation report. Specifically, the generation function 553 inputs a template corresponding to an item for which “finding” is input to the interpretation report. FIG. 12 is a diagram illustrating an example of generation of an interpretation report by the generation function 553 according to the first embodiment. For example, when the input circuit 520 receives an input of “finding” for the item “prostate cancer> brain metastasis”, the generation function 553 displays “brain” in the interpretation report in this examination as shown in FIG. Generate a template for entering findings on "Transition". Further, the generation function 553 inserts the read image data into the template as a key image.

  In the present embodiment, the interpretation target list includes not only items of interpretation based on examination order information but also items of interpretation based on past history and biopsy information. Therefore, the interpretation report corresponding to the interpretation result is automatically generated, thereby making it easy to create the interpretation report and preventing the reflection of the interpretation result from being forgotten.

  As described above, the interpretation terminal 500 according to the first embodiment displays an interpretation target list including a past history and an interpretation item based on biopsy information in addition to an interpretation item based on order information, An operation for adding an arbitrary interpretation item can be received from the interpretation doctor. That is, when an experienced interpreting doctor performs interpretation, an interpretation item based on his / her own experience can be added as appropriate. Therefore, in the interpretation terminal 500 according to the first embodiment, the accuracy of the displayed interpretation target list can be improved by adding the item added in this way to the list master 541. For example, the generation function 553 updates the list master 541 and updates the addition rule 542 so as to add an item newly added when an image interpretation doctor interprets predetermined image data. Here, the priority set in the additional rule 542 can be arbitrarily set, but it is also possible to update the priority according to the past interpretation result. For example, the interpretation frequency for each item may be calculated based on the examination information and the actual interpreted information, and the priority may be updated based on the calculated interpretation frequency.

  Next, a processing procedure performed by the image interpretation terminal 500 according to the first embodiment will be described. FIG. 13 is a flowchart illustrating a processing procedure performed by the image interpretation terminal 500 according to the first embodiment. Here, step S101 in FIG. 13 is realized, for example, when the processing circuit 550 calls and executes a program corresponding to the acquisition function 551 from the storage circuit 540. Further, step S102, step S106, step S108, and step S109 are realized by, for example, the processing circuit 550 calling and executing a program corresponding to the generation function 553 from the storage circuit 540. Further, step S103 to step S105 are realized, for example, when the processing circuit 550 calls and executes a program corresponding to the extraction function 552 from the storage circuit 540. Further, step S107 is realized, for example, when the processing circuit 550 calls and executes a program corresponding to the notification function 554 from the storage circuit 540.

  In the image interpretation terminal 500 according to the present embodiment, first, the processing circuit 550 acquires subject information, order information, biopsy information, and image information (step S101). Then, the processing circuit 550 generates an initial item based on the order information (Step S102). Subsequently, the processing circuit 550 adds a list item based on the biopsy information (step S103), and adds a list item based on the past interpretation target list (step S104). Further, the processing circuit 550 extracts a part included in the medical image data based on the image attribute information and the analysis information (step S105).

  Then, the processing circuit 550 narrows down the list items based on the extracted part and examination type, generates an interpretation target list (step S106), and displays the image data and the interpretation target list on the display 530 (step S107). Thereafter, the processing circuit 550 generates an interpretation report reflecting the interpretation result (step S108), and updates the list master 541 and the additional rule 542 based on the interpretation result (step S109).

  As described above, according to the first embodiment, the extraction function 552 is an item that is different from the interpretation item according to the content of the examination on the subject and the target item to be interpreted is the subject to be analyzed. Extraction is based on medical images collected from the specimen. The notification function 554 notifies the target item extracted by the extraction function 552. Therefore, the interpretation terminal 500 according to the first embodiment can present to the interpreting doctor items that can be interpreted other than the items based on the order information, and the items that can be interpreted regardless of the ability of the interpreting doctor. Make it possible to notice and improve the quality of interpretation.

  Further, according to the first embodiment, the extraction function 552 includes at least one of the list master 541, the history information of the subject and the biopsy information of the subject, and the attribute information and analysis information of the medical image. A target item is extracted based on the result of matching with image information. Therefore, the interpretation terminal 500 according to the first embodiment can accurately extract items that can be interpreted in the actually collected medical image data.

  Further, according to the first embodiment, the extraction function 552 acquires the part information included in the medical image by executing an analysis process for extracting the part included in the medical image, and acquires the acquired part information. The target item is extracted based on. Therefore, the interpretation terminal 500 according to the first embodiment can acquire detailed part information included in the medical image data, and can improve the determination accuracy of items that can be interpreted.

  Further, according to the first embodiment, the list master 541 is updated based on information on interpretation performed on medical images collected according to each examination condition. Therefore, the interpretation terminal 500 according to the first embodiment makes it possible to generate a list master that reflects the interpretation results obtained by an experienced interpretation physician. As a result, the interpretation terminal 500 can display a more accurate interpretation target list.

  Further, according to the first embodiment, the extraction function 552 extracts the target item based on the priority set for each interpretation item. The notification function 554 changes the notification of the target item according to the priority of the target item. Therefore, the image interpretation terminal 500 according to the first embodiment makes it possible for the image interpretation doctor to clearly indicate items to be interpreted with priority.

  Further, according to the first embodiment, the notification function 554 displays target items on the display 530 that displays medical images collected from the subject. Therefore, the image interpretation terminal 500 according to the first embodiment makes it possible to efficiently perform image interpretation.

  Further, according to the first embodiment, the input circuit 520 receives information on the implemented item among the target items notified by the notification function 554. The generation function 553 generates an interpretation report reflecting information on items received by the input circuit 520. Therefore, the image interpretation terminal 500 according to the first embodiment makes it possible to efficiently generate an image interpretation report.

(Second Embodiment)
Although the first embodiment has been described so far, the present invention may be implemented in various different forms other than the first embodiment described above.

  In the above-described embodiment, the case has been described in which items that can be interpreted are determined based on the information on the parts included in the medical image data. However, the embodiment is not limited to this, and for example, it may be determined based on the image type. For example, when the medical image data is collected by the X-ray CT apparatus, the interpretation terminal 500 collects whether the medical image data is a “ThinSlice image”, whether the collected medical image data is a contrast image, The items that can be interpreted are determined depending on whether or not a virtual endoscopic image can be generated from the medical image data thus obtained. Further, for example, when the medical image data is collected by the MRI apparatus, the image interpretation terminal 500 is an item that can be interpreted depending on whether there is an MRA image, whether the collected medical image data is a contrast image, or the like. Determine. For example, when there is an MRA image, it is possible to interpret a fine cerebral infarction, so the extraction function 552 extracts an interpretation item for interpreting a fine cerebral infarction.

  As described above, when determining items that can be interpreted according to image type, the interpretation terminal 500 stores, for example, a list master 541 including information on the image type. FIG. 14 is a diagram illustrating an example of the list master 541 according to the second embodiment. For example, the list master 541 is information in which “item name” and “inspection condition” are associated with each other as shown in FIG. Here, the list master 541 according to the second embodiment includes “image type” in the inspection condition. That is, in the list master 541 according to the second embodiment, in addition to the “examination type” indicating information of the modality device that collects medical image data and the “detailed part” indicating the target part of the examination, the collection is further performed. This is information in which “image type” indicating the type of image to be displayed is associated. For example, the extraction function 552 acquires information related to “image type” from the supplementary information of the medical image data acquired by the acquisition function 551, and determines an item that can be interpreted based on the acquired information.

  In the above-described embodiment, an example is described in which an initial item is generated, an item is added using biopsy information or a past interpretation target list, and then an interpretable item is determined using medical image data. I gave it as an explanation. However, the embodiment is not limited to this, and determination of items that can be interpreted using medical image data can be executed at an arbitrary time. For example, it may be a case where an item that can be interpreted using medical image data is determined before the initial item is extracted. In this case, items added as initial items and items added using biopsy information and past interpretation target lists are items that have already been determined to be interpretable.

  In the above-described embodiment, the case where the image interpretation terminal 500 executes various processes has been described. However, the embodiment is not limited to this. For example, the management server 400 may execute various processes. In such a case, the management server 400 includes a processing circuit similar to the processing circuit 550 and executes the above-described processing.

  In addition, each component of each device illustrated in the first embodiment is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. Further, all or a part of each processing function performed in each device may be realized by a CPU and a program that is analyzed and executed by the CPU, or may be realized as hardware by wired logic.

  Further, the display method described in the above embodiment can be realized by executing a display program prepared in advance on a computer such as a personal computer or a workstation. This display program can be distributed via a network such as the Internet. The display program can also be executed by being recorded on a computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, and a DVD, and being read from the recording medium by the computer.

  According to at least one embodiment described above, the quality of interpretation can be improved.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

500 Interpretation Terminal 520 Input Circuit 552 Extraction Function 553 Generation Function 554 Notification Function

Claims (8)

An extraction unit that is an item that is different from the interpretation item according to the content of the examination on the subject, and that extracts the target item to be interpreted based on the medical image collected from the subject;
A notification unit for reporting the target item extracted by the extraction unit;
An image interpretation support device comprising:   The extraction unit includes at least one of correspondence information in which examination conditions are associated with interpretation items, information on the history of the subject and biopsy information on the subject, and attribute information and analysis information on the medical image. The image interpretation support apparatus according to claim 1, wherein the target item is extracted based on a collation result with image information included.   The image interpretation support apparatus according to claim 2, wherein the attribute information of the medical image includes apparatus information that collects the medical image, part information, and type information of the medical image.   The extraction unit obtains part information included in the medical image by executing an analysis process for extracting a part contained in the medical image, and extracts the target item based on the obtained part information. The image interpretation support apparatus according to claim 2 or 3.   The correspondence information in which the examination condition and the interpretation item are associated is updated based on information on interpretation performed on the medical image collected by each examination condition. Interpretation support device described in 1. The extraction unit extracts the target item based on a priority set for each item of the interpretation;
The image interpretation support device according to any one of claims 1 to 5, wherein the notification unit changes notification of the target item according to a priority of the target item.   The image interpretation support apparatus according to claim 1, wherein the notification unit displays the target item on a display unit that displays a medical image collected from the subject. Among the target items notified by the notification unit, a reception unit that receives information on the implemented item;
A generation unit that generates an image interpretation report reflecting information on items received by the reception unit;
The image interpretation support device according to any one of claims 1 to 7, further comprising:

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