JP2018173698A - Treatment performance visualization apparatus, treatment performance visualization method and treatment performance visualization program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a visualization method for supporting the formulation of a cancer treatment plan. Treatment record information including a cancer treatment method, a pTMN classification value, and a cTMN classification value is registered in databases DB1 to DB4 provided in HDD 14 hd of a display device 14. Based on this, the CPU 14pr of the display terminal 14 accepts the input of the cancer patient information including the cTMN classification value on the cancer treatment search screen displayed on the LCD 14dp, and the treatment results corresponding to the input cancer patient information. Information is extracted from databases DB1 to DB4. The CPU 14pr further displays at least the cancer treatment method and the pTMN classification value in the extracted treatment performance information on the LCD 14dp. [Selection diagram] Fig. 3

Description

  The present invention relates to a treatment performance visualization device, a treatment performance visualization method, and a treatment performance visualization program, and in particular, a treatment performance visualization device and a treatment performance visualization for visualizing treatment performance conforming to a cancer treatment site and TMN classification of a target patient. The present invention relates to a method and a treatment performance visualization program.

  An example of this type of device is disclosed in Patent Document 1. According to this document, information specifying a patient is received from an information terminal, and a disease name and a diagnosis result related to the patient are acquired from an electronic medical record system and a RIS / PACS. The system server specifies a plurality of selectable treatment paths based on the acquired disease name and diagnosis result, and transmits a list of the specified plurality of medical paths to the information terminal.

  Here, as information for specifying a patient, patient chart information, medical history information, sample examination information, physiological diagnosis information, pathological diagnosis information, and the like are assumed. In addition, the diagnosis result for the patient is obtained based on the TNM classification representing the stage “stage” classification of cancer, the grade of malignancy, the degree of progression, and the international clinical disease classification of cancer. Furthermore, as a treatment path, surgery, radiation therapy, chemotherapy (anticancer agent), or a combination thereof is assumed.

  This can provide doctors, medical teams, and patients with information useful for determining treatment guidelines and informed consent.

JP 2006-72533 A

  When planning a treatment plan for treating a patient's cancer, the treatment results of other patients recorded in an electronic medical record or the like are usually referred to. At this time, if the treatment results conforming to the cancer treatment site and TMN classification of the target patient are displayed in a list, the attending physician can efficiently make a treatment plan suitable for the target patient.

  However, for that purpose, it is necessary for other medical workers to manually extract the treatment results to be displayed in a list, and the burden of the extraction work increases. Patent Document 1 does not disclose how to reduce such a burden, and the technology of Patent Document 1 has a limit in performance for supporting the development of a cancer treatment plan.

  Therefore, a main object of the present invention is to provide a treatment performance visualization device, a treatment performance visualization support method, and a treatment performance visualization program capable of enhancing the performance of supporting the planning of a cancer treatment plan.

  The treatment performance visualization apparatus according to the present invention (12: reference numerals corresponding to the examples; the same applies hereinafter) includes receiving means (S21 to S29) for receiving input of cancer patient information including cTMN classification values, a cancer treatment method, and Extraction means (S35 ~) for extracting treatment result information corresponding to cancer patient information inputted by processing of the acceptance means from a database (DB1 ~ DB4) in which treatment result information including pTMN classification value and cTMN classification value is registered S43, S47 to S71, S75, S79 to S85) and display means (S45, S73, S77) for displaying at least the cancer treatment method and the pTMN classification value among the treatment result information extracted by the extraction means.

  Preferably, each of the cancer patient information and the treatment performance information further includes a cancer treatment site.

  Preferably, the display means includes summary information display means (S45) for displaying summary information including the pTNM classification value, and detailed information including a cancer treatment method in response to a detail display operation after processing of the summary information display means. Includes detailed information display means (S73, S77).

  In some aspects, the summary information further includes a cTMN classification value.

  In another aspect, the summary information further includes a pathological diagnosis date, and the detailed information further includes a cancer treatment implementation date.

  The treatment result visualization method according to the present invention is a treatment result visualization method executed by the treatment result visualization device (14), and accepts input of cancer patient information including a cTMN classification value (S21 to S29), Extracting treatment result information corresponding to cancer patient information input by the process of the receiving step from a database (DB1 to DB4) in which treatment result information including a cancer treatment method and pTMN classification value and cTMN classification value is registered An extraction step (S35 to S43, S47 to S71, S75, S79 to S85), and a display step (S45, S73, S77) for displaying at least the cancer treatment method and the pTMN classification value among the treatment results information extracted by the extraction step ).

  The treatment result visualization program according to the present invention includes a reception step (S21 to S29) for receiving input of cancer patient information including a cTMN classification value to a processor (14pr) of a treatment result visualization device (14), a cancer treatment method, and Extraction step (S35-) for extracting treatment result information corresponding to cancer patient information inputted by the process of the reception step from the database (DB1 to DB4) in which treatment result information including the pTMN classification value and the cTMN classification value is registered S43, S47 to S71, S75, S79 to S85) and a display step (S45, S73, S77) for displaying at least the cancer treatment method and the pTMN classification value among the treatment result information extracted by the extraction step This is a treatment performance visualization program.

  The treatment result information registered in the database includes a cancer treatment method, a pTMN classification value, and a cTMN classification value. When patient information including a cTMN classification value is input, treatment result information corresponding to the patient information is extracted from the database, and at least a cancer treatment method and a pTMN classification value are displayed. This improves the ability to support the planning of cancer treatment plans.

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

It is a block diagram which shows the structure of the treatment plan planning assistance system applied to this Example. It is a block diagram which shows an example of the server which comprises a treatment plan planning assistance system. It is a block diagram which shows an example of the display terminal which comprises a treatment plan planning assistance system. It is an illustration figure which shows an example of a structure of the cancer treatment site | part conversion table provided in the display terminal. It is an illustration figure which shows a part of structure of the cancer registration file according to CSV format. It is an illustration figure which shows a part of structure of the pathological diagnosis result file according to a CSV format. It is an illustration figure which shows a part of structure of E file according to a CSV format. It is an illustration figure which shows a part of structure of F file according to CSV format. It is an illustration figure which shows an example of a cancer treatment search screen. It is an illustration figure which shows another example of a cancer treatment search screen. It is an illustration figure which shows another example of a cancer treatment search screen. It is a flowchart which shows a part of operation | movement of CPU provided in the server. It is a flowchart which shows a part of operation | movement of CPU provided in the display terminal. It is a flowchart which shows a part of other operation | movement of CPU provided in the display terminal. It is a flowchart which shows a part of other operation | movement of CPU provided in the display terminal. It is a flowchart which shows another part of operation | movement of CPU provided in the display terminal. It is a flowchart which shows a part of other operation | movement of CPU provided in the display terminal.

  With reference to FIG. 1, the treatment result visualization system 10 according to this embodiment includes a server 12, a display terminal 14, an input terminal 16, and a pathological system 18 connected to a hospital LAN 20.

  Referring to FIG. 2, server 12 includes a bus BS1. Communication I / F 12cm, CPU 12pr, DRAM 12dm, and HDD 12hd are connected to bus BS1. Referring to FIG. 3, display terminal 14 includes a bus BS2. A communication I / F 14 cm, a CPU 14 pr, an LCD 14 dp, a keyboard / mouse 14 km, a DRAM 14 dm, and an HDD 14 hd are connected to the bus BS2.

  The HDD 14 hd stores a cancer treatment site conversion table TBL1, and further stores databases DB1 to DB4. Here, the cancer treatment site conversion table TBL1 is configured as shown in FIG. Further, the cancer registration file shown in FIG. 5 is registered in the database DB1, the pathological diagnosis result file shown in FIG. 6 is registered in the database DB2, the E file shown in FIG. 7 is registered in the database DB3, and the database DB4. Is registered with the F file shown in FIG.

  For convenience of explanation, FIG. 4 shows a part of the cancer treatment site conversion table TBL1, and FIGS. 5 to 8 show parts of the cancer registration file, pathological diagnosis result file, E file, and F file. . The cancer registration file, pathological diagnosis result file, E file, and F file correspond to treatment result information.

  Referring to FIG. 4, the cancer treatment site conversion table TBL1 shows the correspondence between the site code and the cancer treatment site. For example, “esophageal cancer” is assigned to the site code “C159” as the cancer treatment site.

  Referring to FIG. 5, the cancer registration file is composed of a plurality of cancer records in accordance with the CSV format. Each cancer record includes a patient ID number, a site code, a discharge date, a date of the first tumor visit, and a cTNM classification (“c” is clinical). The cTMN classification is classified into T classification, N classification, and M classification.

  For example, “C159” is assigned as the site code to the patient ID number “910000000”, “20160704” is assigned as the discharge date, “20160401” is assigned as the date of initial examination of the tumor, and “T2” is assigned as the T classification. Assigned, “N0” is assigned as the N classification, and “M0” is assigned as the M classification.

  Referring to FIG. 6, the pathological diagnosis result file conforms to the CSV format and includes a plurality of pathological diagnosis result records. Each pathological diagnosis result record includes patient ID number, site code, pathological diagnosis date, and pTMN classification ("p" is pathological). The pTMN classification is classified into T classification, N classification, and M classification.

  For example, the patient ID number “910000000” is assigned “C159” as the site code, “20160620” is assigned as the pathological diagnosis date, “T2” is assigned as the T classification, and “N0” is assigned as the N classification. And “M0” is assigned as the M classification.

  Note that the number of pathological diagnosis result records registered in the pathological diagnosis result file matches the number of cancer records registered in the cancer registration file.

  Referring to FIG. 7, the E file is composed of a plurality of E records according to the CSV format. Each E record has a data identification number, a sequence number, and an execution date as items. For example, the data identification number “123-910000000” is assigned “1” as the sequence number and “20160410” as the execution date. Note that the last nine digits of the data identification number match the patient ID number.

  Referring to FIG. 8, the F file conforms to the CSV format and includes a plurality of F records. Each F record has a data identification number, a sequence number, and a medical treatment specification name (cancer treatment method) as items. For example, “1” is assigned as the sequence number to the data identification number “123-910000000”, and “esophageal malignant tumor surgery (concurrent with gastrointestinal reconstruction surgery)” (operation of the neck, chest, and abdomen) "Is assigned. In the F file, two or more medical specification names may be assigned to a common data identification number and sequence number.

  The cancer registration file, E file, and F file are created by the input terminal 16, and the pathological diagnosis result file is created by the pathology system 18. These created files are taken into the DRAM 12dm through the communication I / F 12cm shown in FIG. 2, and then temporarily stored in the temporary folder TF1 provided in the HDD 12hd.

  The cancer registration file, pathological diagnosis result file, E file, and F file saved in the temporary folder TF1 are registered in the databases DB1 to DB4 shown in FIG. 3 at a frequency of about once a month. At this time, the CPU 12pr of the server 12 executes a registration process according to the flowchart shown in FIG. A control program corresponding to this flowchart is stored in the HDD 12hd.

  Referring to FIG. 12, in step S1, variable K is set to “1”. In step S3, the Kth file in the temporary folder TF1 provided in the HDD 12hd is selected. In step S5, the attributes of the Kth file (cancer registration file, pathological diagnosis result file, E file and F file) are detected.

  In step S7, the database corresponding to the attribute detected in step S5 is identified from the databases DB1 to DB4 shown in FIG. 3, and the Kth file is registered in the identified database. As a result, the cancer registration file is registered in the database DB1, the pathological diagnosis result file is registered in the database DB2, the E file is registered in the database DB3, and the F file is registered in the database DB4.

  In step S9, the variable K is incremented, and in step S11, it is determined whether or not the variable K exceeds a maximum value Kmax (Kmax: total number of files in the temporary folder TF1). If the determination result is NO, the process returns to step S3. If the determination result is YES, the temporary folder TF1 is emptied in step S13, and the registration process is terminated.

  CPU14pr provided in the display terminal 14 performs the treatment performance visualization process shown in FIGS. 13-17 in order to support the planning of a cancer treatment plan with reference to database DB1-DB4 constructed in this way. A control program corresponding to these flowcharts is stored in the HDD 14hd.

  Referring to FIG. 13, in step S21, a cancer treatment search screen is developed in DRAM 14dm. The developed cancer treatment search screen is read by the LCD 14dp and displayed as shown in FIG. According to FIG. 9, the character string “cancer treatment search” is displayed in the upper part of the cancer treatment search screen, and the entry column for the cancer treatment site and the cTNM classification value is displayed in the middle part of the cancer treatment search screen. In the lower part of the cancer treatment search screen, a “search” button is displayed.

  In step S23, it is determined whether or not a cancer treatment site input operation (= operation for inputting a desired cancer treatment site in the entry column of the cancer treatment site) has been performed using the keyboard / mouse 14km. If a determination result is NO, it will progress to step S27 as it is. On the other hand, if a determination result is YES, it will progress to step S25, will display the input cancer treatment site | part in the applicable entry column, and will progress to step S27.

  In step S27, it is determined whether or not a cTMN classification input operation (= operation for inputting a desired classification value in the entry field of cTMN classification value) has been performed with the keyboard / mouse 14km. If a determination result is NO, it will progress to step S31 as it is. On the other hand, if a determination result is YES, it will progress to step S29, will display the input classification value in a corresponding input column, and will progress to step S31.

  In step S31, it is determined whether or not the “search” button has been clicked with the keyboard / mouse 14km. In step S33, all items (the cancer treatment site and the cTMN classification value and corresponding to the cancer patient information) have been input. It is determined whether or not there is. If one of the determination result in step S31 and the determination result in step S33 is NO, the process returns to step S23. On the other hand, if both the determination result in step S31 and the determination result in step S33 are YES, the process proceeds to step S35.

  In step S35, referring to the cancer treatment site conversion table TBL1, the input cancer treatment site is converted into a site code. In step S37, one or two or more cancer records each containing the converted part code are detected from the database DB1 for cancer registration files. In step S39, one or more pathological diagnosis result records each including the converted part code are detected from the pathological diagnosis result file database DB2.

  In step S41, one or more cancer records detected in step S37 and one or more pathological diagnosis result records detected in step S39 are integrated for each common patient ID number. Therefore, when three cancer records are detected from the database DB1 and three pathological diagnosis result records are detected from the database DB2, three integrated records are created.

  In step S43, the variable K is set to “1”, and in step S45, some items of the Kth integrated record (specifically, patient ID number, date of initial diagnosis of the tumor, discharge date, cTMN classification value, pathological diagnosis) Day and pTMN classification values, which correspond to summary information of cancer treatment results), are additionally displayed on the cancer treatment search screen.

  In step S47, the variable K is incremented. In step S49, it is determined whether or not the variable K exceeds the maximum value Kmax (Kmax: total number of integrated records). If the determination result is NO, the process returns to step S45, while if the determination result is YES, the process proceeds to step S51. Therefore, at the time when YES is determined in step S49, the cancer treatment search screen has an appearance shown in FIG.

  In step S51, it is repeatedly determined whether or not the desired patient ID number on the cancer treatment search screen has been clicked with the keyboard / mouse 14km. If the determination result is updated from NO to YES, it is considered that a detailed display operation has been performed, and the process proceeds to step S53, where the clicked patient ID number is converted into a data identification number. Specifically, “123-” is added to the beginning of the patient ID number.

  In step S55, the tumor first visit date and discharge date corresponding to the clicked patient ID number are detected from the database DB1 for cancer registration files. In step S57, a period from the detected date of initial diagnosis of the tumor to the date of discharge is designated.

  In step S59, one or two or more E records each including the data identification number converted in step S53 and the implementation date within the period specified in step S57 are searched from the E file database DB3.

  In step S61, it is determined whether one or more E records have been detected by the process in step S59. If the determination result is NO, the process proceeds to step S87, while if the determination result is YES, the process proceeds to step S63. In step S63, the variable K is set to "1", and in step S65, the data identification number, sequence number, and execution date are detected from the Kth E record among one or more detected E records.

  In step S67, the F file database DB4 is searched for one or more F records each including the data identification number and the sequence number detected in step S65. In step S69, it is determined whether one or more F records have been detected by the process of step S67. If the determination result is NO, the process proceeds to step S83 while if the determination result is YES, the process proceeds to step S71.

  In step S71, the variable L is set to “1”. In step S73, the clicked patient ID number and the implementation date detected by the process in step S65 are displayed on the cancer treatment search screen. In step S75, the name of the medical statement is detected from the Lth F record among one or more detected F records. In step S77, the detected medical statement name is displayed on the cancer treatment search screen. The patient ID number, the implementation date, and the medical treatment specification name displayed in this way correspond to detailed information on the results of cancer treatment.

  In step S79, the variable L is incremented. In step S81, it is determined whether or not the variable L exceeds a maximum value Lmax (Lmax: the total number of detected F records). If a determination result is NO, it will return to Step S73, and if a determination result is YES, it will progress to Step S83.

  In step S83, the variable K is incremented. In step S85, it is determined whether or not the variable K exceeds the maximum value Kmax (Kmax: the total number of E records detected by the process in step S59). If the determination result is NO, the process returns to step S65, while if the determination result is YES, the process proceeds to step S87. Therefore, when the determination result of step S85 is determined to be YES, the cancer treatment search screen has an appearance shown in FIG.

  In step S87, it is repeatedly determined whether or not a desired patient ID number has been clicked. When the determination result is updated from NO to YES, the process proceeds to step S89, and detailed information (patient ID number, implementation date, and medical specification name displayed in steps S73 and S77) is not displayed. When the process of step S89 is completed, the process returns to step S53.

  As can be seen from the above description, the treatment result information including the cancer treatment method, the pTMN classification value, and the cTMN classification value is registered in the databases DB1 to DB4 provided in the HDD 14hd of the display terminal 14. Based on this, the CPU 14pr of the display device 14 accepts input of cancer patient information including the cTMN classification value on the cancer treatment search screen displayed on the LCD 14dp (S21 to S29), and the input cancer patient information. The treatment result information corresponding to is extracted from the databases DB1 to DB4 (S35 to S43, S47 to S71, S75, S79 to S85). The CPU 14pr further displays at least the cancer treatment method and the pTMN classification value on the LCD 14dp among the extracted treatment result information (S45, S73, S77).

  This makes it possible to confirm past cases and treatment methods when making a current cancer treatment plan, and improves the performance of supporting the creation of a cancer treatment plan.

  Specifically, a more preferable cancer treatment method can be selected through a comparison between the cTMN classification value included in the cancer patient information and the pTMN classification value included in the treatment performance information. Also, visibility or operability is improved by displaying the cancer treatment method when a detailed display operation is received.

DESCRIPTION OF SYMBOLS 10 ... Treatment results visualization system 12 ... Server 14 ... Display terminal 12pr, 14pr ... CPU
12hd, 14hd ... HDD
14dp LCD

Claims (7)

receiving means for receiving input of cancer patient information including cTMN classification values;
Extraction means for extracting treatment result information corresponding to cancer patient information input by processing of the receiving means from a database in which treatment result information including a cancer treatment method and pTMN classification value and the cTMN classification value is registered, And a treatment result visualization apparatus comprising display means for displaying at least the cancer treatment method and the pTMN classification value among the treatment result information extracted by the extraction means.   The treatment result visualization apparatus according to claim 1, wherein each of the cancer patient information and the treatment result information further includes a cancer treatment part.   The display means displays summary information including summary information including the pTNM classification value, and displays detailed information including the cancer treatment method in response to a detail display operation after processing of the summary information display means. The treatment result visualization apparatus according to claim 1, further comprising a detailed information display unit.   The treatment result visualization apparatus according to claim 3, wherein the summary information further includes the cTMN classification value.   The treatment result visualization apparatus according to claim 3 or 4, wherein the summary information further includes a pathological diagnosis date, and the detailed information further includes a cancer treatment implementation date. A treatment result visualization method executed by a treatment result visualization device,
a receiving step for receiving input of cancer patient information including a cTMN classification value;
An extraction step of extracting treatment result information corresponding to cancer patient information inputted by the process of the receiving step from a database in which treatment result information including a cancer treatment method and pTMN classification value and the cTMN classification value is registered; And a treatment result visualization method comprising a display step of displaying at least the cancer treatment method and the pTMN classification value among the treatment result information extracted by the extraction step. In the processor of the treatment results visualization device,
a receiving step for receiving input of cancer patient information including a cTMN classification value;
An extraction step of extracting treatment result information corresponding to cancer patient information inputted by the process of the receiving step from a database in which treatment result information including a cancer treatment method and pTMN classification value and the cTMN classification value is registered; And a treatment result visualization program for executing a display step of displaying at least the cancer treatment method and the pTMN classification value among the treatment result information extracted by the extraction step.

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