Musculoskeletal ultrasound input and diagnosis report generation method and system and storage medium

Abstract

The invention discloses a musculoskeletal ultrasonic recording and diagnosis report generation method and system and a storage medium, and the method comprises the steps: monitoring a trigger event of a joint part in a human body joint interface, and when the trigger event of the joint part is monitored, displaying an ultrasonic examination recording interface of the joint part, the joint part is recorded; monitoring a trigger event of a lesion type in the ultrasonic examination input interface, displaying a lesion degree menu of the lesion type when the trigger event of the lesion type is monitored, and inputting the lesion type; monitoring a trigger event of lesion existence or lesion degree scoring in the lesion degree menu, and when the trigger event of lesion existence or lesion degree scoring is monitored, inputting the lesion existence or lesion degree scoring; and automatically generating an ultrasonic diagnosis report of the joint part according to the recorded joint part and the lesion type, lesion existence or lesion degree score thereof. The input time can be remarkably shortened, and the accuracy of the diagnosis report is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and particularly to a method, system and storage medium for musculoskeletal ultrasound input and diagnostic report generation. Background Art

[0002] Musculoskeletal ultrasound technology is based on the propagation characteristics of ultrasonic waves in human tissues for imaging and diagnosis. Its advantages lie in non-invasiveness, real-time nature and repeatable follow-up. However, due to the diverse parts and lesion types involved in musculoskeletal ultrasound, the operation in the process of inputting ultrasound examination results is cumbersome and completely relies on manual operation. Therefore, there are currently many problems that need to be solved urgently, mainly including:

[0003] 1. Manually inputting ultrasound examination results is inefficient and time-consuming.

[0004] Due to the large number of joint parts and diverse lesion types (such as synovitis, effusion, tenosynovitis, peritendinitis, tendinitis, subcutaneous soft tissue inflammation, enthesitis, bone erosion, osteophyte, double-track sign, tophus, aggregate, etc.), when facing complex joint parts and diverse lesion types, it is necessary to input each item of data one by one, and the operation is cumbersome and extremely time-consuming.

[0005] 2. Prone to errors and difficult to guarantee the diagnostic quality.

[0006] The manual input method is prone to data omission, error or incomplete recording due to the negligence or fatigue of the operator, especially when facing a large number of complex cases or repeated follow-up, the error rate further increases. Summary of the Invention

[0007] The present invention provides a method, system and storage medium for musculoskeletal ultrasound input and diagnostic report generation, which at least solves the problems of long time consumption, low efficiency and easy error in manually inputting ultrasound examination results.

[0008] The present invention provides a method for musculoskeletal ultrasound input and diagnostic report generation. The method includes: listening for trigger events of joint parts in the human joint interface, and when a trigger event of a joint part in the human joint interface is detected, displaying an ultrasound examination input interface for the joint part and inputting the joint part; listening for trigger events of lesion types in the ultrasound examination input interface, and when a trigger event of a lesion type in the ultrasound examination input interface is detected, displaying a lesion degree menu for the lesion type and inputting the lesion type of the joint part; listening for trigger events of the presence or absence of lesions or lesion degree scores in the lesion degree menu, and when a trigger event of the presence or absence of a lesion or a lesion degree score in the lesion degree menu is detected, inputting the presence or absence of the lesion or the lesion degree score of the lesion type; automatically generating an ultrasound diagnostic report for the joint part according to the input joint part, its lesion type, and the presence or absence of lesions or lesion degree scores.

[0009] Preferably, the step of displaying an ultrasound examination input interface for the joint part when a trigger event of a joint part in the human joint interface is detected includes: when a trigger event of a joint part in the human joint interface is detected, transferring from the human joint interface to the ultrasound examination input interface for the joint part by means of interface jump; or arranging the ultrasound examination input interface for the joint part in front of the human joint interface by means of interface stacking arrangement.

[0010] Preferably, the method further includes: designing the human joint interface before listening for trigger events of joint parts in the human joint interface; adding listening icons for each checkable joint part in the human joint interface, and adding trigger event listeners to the listening icons of each joint part to listen for trigger events of any joint part in the human joint interface.

[0011] Preferably, the method further includes: before listening for trigger events of joint parts in the human joint interface, designing ultrasound examination input interfaces for each joint part respectively, where the ultrasound examination input interface of any joint part includes the name of the joint part and its lesion type; adding trigger event listeners to each lesion type in the ultrasound examination input interface of any joint part to listen for trigger events of any lesion type in the ultrasound examination input interface of the joint part.

[0012] Preferably, when a trigger event for a lesion type in the ultrasound examination entry interface is monitored, presenting the lesion degree menu for the lesion type includes: when a trigger event for a lesion type in the ultrasound examination entry interface is monitored, checking the status of the lesion degree menu for the lesion type; if the status of the lesion degree menu for the lesion type is a hidden state, presenting the lesion degree menu in the ultrasound examination entry interface by means of a drop-down manner, a pop-up manner, or a side-sliding manner.

[0013] Preferably, the method further includes: before monitoring a trigger event for a joint part in the human joint interface, designing a lesion degree menu for each lesion type, where the lesion degree menu expresses different lesion degree scores in a semi-quantitative scoring manner or expresses the presence or absence of lesions in a qualitative evaluation manner; adding a status attribute indicating whether the lesion degree menu is displayed or hidden to the lesion degree menu for each lesion type; adding a trigger event listener to each lesion degree score in the lesion degree menu to monitor a trigger event for any lesion degree score in the lesion degree menu.

[0014] Preferably, automatically generating an ultrasound diagnosis report for the joint part according to the entered joint part, its lesion type, presence or absence of lesions, or lesion degree score includes: determining whether the joint part has an abnormality according to the presence or absence of lesions or lesion degree scores of each lesion type of the entered joint part; if it is determined that the joint part has no abnormality, generating an ultrasound diagnosis report indicating that no abnormality is found in the joint part; if it is determined that the joint part has an abnormality, querying in a database for a lesion description and a diagnosis conclusion corresponding to the entered joint part, its lesion type, presence or absence of lesions, or lesion degree score, so as to generate an ultrasound diagnosis report including the lesion description and the diagnosis conclusion of the joint part.

[0015] Preferably, the method further includes: obtaining multiple ultrasound diagnosis reports of the same joint part of the same patient at different times; determining the lesion change trend of each lesion type of the same joint part of the same patient according to the multiple ultrasound diagnosis reports of the same joint part of the same patient at different times.

[0016] The present invention also provides a musculoskeletal ultrasound entry and diagnosis report generation system, the system includes: a display, a memory, and a processor, where a program that can run on the processor is stored on the memory, and when the program is executed by the processor, the steps of the foregoing musculoskeletal ultrasound entry and diagnosis report generation method are implemented.

[0017] The present invention also provides a storage medium, where a program is stored in the storage medium, and when the program is executed by a processor, the steps of the foregoing musculoskeletal ultrasound entry and diagnosis report generation method are implemented.

[0018] A method, system and storage medium for musculoskeletal ultrasound input and diagnostic report generation provided by the present invention select and input joint parts, specific lesion types and lesion severity scores through a triggering method, with fast speed, high efficiency and simple operation. At the same time, information omission and data input errors can be avoided. In addition, an ultrasound diagnostic report including lesion descriptions and diagnostic conclusions can be automatically generated based on the joint parts, their lesion types and lesion severity scores, without manually inputting lesion descriptions and diagnostic conclusions, which can further improve the operation efficiency of doctors and reduce the error rate. Description of the Drawings

[0019] Figure 1 is a flowchart of the method for musculoskeletal ultrasound input and diagnostic report generation provided by the present invention;

[0020] Figure 2 is a schematic structural diagram of the system for musculoskeletal ultrasound input and diagnostic report generation provided by the present invention;

[0021] Figure 3 is a schematic diagram of selecting the right PIP1 joint in the human joint interface;

[0022] Figure 4 is a schematic diagram of the "synovium" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0023] Figure 5 is a schematic diagram of the "effusion" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0024] Figure 6 is a schematic diagram of the "flexor tendon" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0025] Figure 7 is a schematic diagram of the "extensor tendon" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0026] Figure 8 is a schematic diagram of the "soft tissue" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0027] Figure 9 is a schematic diagram of the "enthesis" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0028] Figure 10 is a schematic diagram of the "bone" lesion type and its lesion severity menu in the right PIP1 joint ultrasound examination input interface;

[0029] Figure 11It is a schematic diagram of the lesion type "crystal deposition" and its lesion degree menu in the input interface of the right PIP1 joint ultrasound examination;

[0030] Figure 12 It is a schematic diagram of automatically generating a report by clicking on the right PIP1 joint. Detailed implementation manners

[0031] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] Aiming at the defects such as low efficiency, long report generation time and easy error in the existing input process of musculoskeletal ultrasound examination, the present invention provides a method, system and storage medium for musculoskeletal ultrasound input and diagnostic report generation, which realizes simplified input of musculoskeletal ultrasound examination and automatic generation of diagnostic reports through a visual interface and intelligent data processing.

[0033] Embodiment 1

[0034] Refer to Figure 1 , a method for musculoskeletal ultrasound input and diagnostic report generation provided by the present invention may include the following steps:

[0035] Step S101: Listen for trigger events of joint parts in the human joint interface, and when a trigger event of a joint part in the human joint interface is detected, display the ultrasound examination input interface of the joint part and input the joint part, for example, input the name of the joint part.

[0036] Specifically, when a trigger event of a joint part in the human joint interface is detected, transfer from the human joint interface to the ultrasound examination input interface of the joint part by means of interface jump.

[0037] Before the step S101, the present invention further includes: designing the human joint interface, including each joint part on the left and right sides of the human body, as Figure 3 shown, the human joint interface diagram includes a silhouette diagram that can reflect the human body contour, and the silhouette diagram has joint parts including the left and right sides of the human body, such as shoulder joint, elbow joint, wrist joint, hand joint, hip joint, knee joint, ankle joint, foot joint, etc. Add joint part names to each joint part that can be examined in the human joint interface, for example, shoulder, elbow, wrist, hand, knee, ankle, foot, and add corresponding listening icons to each joint part. The present invention does not limit the shape, color, and border thickness of the listening icons.

[0038] Further, for the case where a joint part contains only one joint, when the joint part is triggered, the ultrasound examination entry interface of the joint is directly displayed. For the case where a joint part contains multiple joints, for example, the hand joints include metacarpophalangeal (MCP) joints, proximal interphalangeal (PIP) joints, and distal interphalangeal (DIP) joints, and the foot joints include mid-foot joints, metatarsophalangeal (MTP) joints, proximal interphalangeal joints of the foot, and distal interphalangeal joints. Therefore, the human joint interface diagram further includes a joint part silhouette diagram that can be displayed or hidden and reflects the contour of the joint part. At the position of each examinable joint in the joint part silhouette diagram, corresponding monitoring icons are respectively added. Similarly, the present invention does not limit the shape, color, and border thickness of the monitoring icons. Taking Figure 3 the right hand joint of Figure 3 as an example, when a trigger event of the right hand joint in the human joint interface diagram is detected, if it is determined that there is a right hand silhouette diagram, the right hand silhouette diagram is displayed. The right hand silhouette diagram includes all examinable joint parts in the right hand. At the positions of each joint in the right hand, corresponding monitoring icons are respectively added, such as hollow circular icons, for monitoring the trigger events of each joint part in the right hand silhouette diagram. In order to detect the trigger event, a trigger event listener is added to each monitoring icon to monitor the trigger event of any joint part in the human joint interface, such as the right 1st proximal interphalangeal joint (abbreviated as right PIP1 joint).

[0039] For the convenience of description, the joint part mentioned below refers to any specific joint part in the human body.

[0040] Taking click trigger as an example, in step S101, when the user clicks on the monitoring icon of a joint part, the corresponding click event processing function is triggered, the joint part is entered, and the interface jump module in the event processing function can be used to jump from the human joint interface to the ultrasound examination entry interface of the selected joint part when it is detected that the part is selected. In addition, an event processing function that can update the state of the monitoring icon can also be triggered. In this event processing function, the state of the monitoring icon is updated, such as automatically changing the color, style, or other visual attributes of the monitoring icon to reflect that the monitoring icon is selected.

[0041] As an alternative to the click trigger method, a voice trigger method can also be adopted, that is, combined with voice recognition technology, it supports doctors to input the joint part to be examined by the patient through voice. The voice is automatically converted into text through voice recognition, the joint part to be examined is entered, and the interface jump and the update of the monitoring icon state are triggered.

[0042] As an alternative to displaying the ultrasound examination entry interface by the jump method, the ultrasound examination entry interface of the joint part can also be arranged in front of the human joint interface in a way of interface stacking arrangement.

[0043] Step S102: Listen for trigger events of the lesion types in the ultrasound examination input interface, and when a trigger event of a lesion type in the ultrasound examination input interface is detected, display the lesion degree menu of the lesion type and input the lesion type of the joint part.

[0044] Specifically, when a trigger event of a lesion type in the ultrasound examination input interface is detected, check the status of the lesion degree menu of the lesion type. If the status of the lesion degree menu of the lesion type is the hidden state, display the lesion degree menu in the ultrasound examination input interface by means of a drop-down method, a pop-up method or a side-sliding method.

[0045] Before the step S101, the present invention further includes: designing an ultrasound examination input interface for each joint part respectively, and the ultrasound examination input interface of any joint part includes the name of the joint and its lesion types. Taking the right PIP1 joint as an example, see Figures 4 to 11 , preset the lesion types of "synovium, effusion, flexor tendon, extensor tendon, soft tissue, attachment point, bone, crystal deposition" in the ultrasound examination input interface of the right PIP1 joint. These lesion types can point to various lesions such as synovitis, effusion, tenosynovitis, tendinitis, subcutaneous soft tissue inflammation, acute enthesitis, chronic enthesopathy, bone erosion, osteophyte, double-track sign, aggregate, tophus, etc. Add trigger event listeners to each lesion type in the ultrasound examination input interface of any joint part to listen for trigger events of any lesion type in the ultrasound examination input interface of the joint part. As an example, Figures 4 to 11 the listening icon of each lesion type in

[0046] Still taking click trigger as an example, in step S102, when the user clicks on the listening icon of a lesion type in the ultrasound examination input interface, trigger the click event processing function, input the lesion type, and use the module for controlling the display or hiding of the menu in the event processing function to display the lesion degree menu of the lesion type. Since there may be multiple lesions in each joint part, multiple lesion types can be selected in the ultrasound examination input interface. See Figures 4 - 11The lesion degree menu for different lesion types shown. Additionally, an event handling function that can update the status of the monitoring icons for each lesion type can be triggered. In this event handling function, update the status of the monitoring icons for each lesion type, such as automatically changing the color, style, or other visual attributes of the monitoring icon to reflect that the monitoring icon is selected. As an alternative to the click-triggered method, a voice-triggered method can also be used, that is, in combination with voice recognition technology, support doctors to input the lesion type of the joint area examined by the patient through voice, that is, automatically convert the voice into text through voice recognition, input the lesion type of the joint area examined, and trigger the display or hiding of the lesion degree menu and the update of the status of the monitoring icons for the lesion type.

[0047] Step S103: Monitor the trigger events for the presence or absence of lesions or the lesion degree scores in the lesion degree menu, and when a trigger event for the presence or absence of a lesion or a lesion degree score in the lesion degree menu is monitored, input the presence or absence of the lesion or the lesion degree score of the lesion type.

[0048] Before the step S101, the present invention further includes: designing a lesion degree menu for each lesion type, see Figures 4 to 11 add a status attribute indicating the display or hiding of the lesion degree menu to the lesion degree menu for each lesion type, and add trigger event listeners to each lesion degree score in the lesion degree menu to monitor the trigger events for any lesion degree score in the lesion degree menu.

[0049] Among them, the lesion degree menu expresses different lesion degrees in a semi-quantitative scoring method or a qualitative evaluation method. The semi-quantitative scoring method is applicable to modes such as synovitis and tenosynovitis under gray scale (GS) and Doppler blood flow (PD). The qualitative evaluation method is applicable to lesions such as effusion, tendinitis, subcutaneous soft tissue inflammation, acute enthesitis, chronic enthesopathy, bone erosion, osteophyte, double-track sign, aggregate, and tophus.

[0050] Still taking click trigger as an example, in step S103, when the user clicks on the monitoring icon of a lesion degree score in the lesion degree menu, a click event handling function is triggered to input the lesion degree score. Additionally, an event handling function that can update the status of the monitoring icon for the lesion degree score can also be triggered. In this event handling function, the status of the monitoring icon for each lesion degree score is updated. For example, the color, style, or other visual attributes of the monitoring icon are automatically changed to reflect that the monitoring icon is selected. As an alternative to the click trigger method, a voice trigger method can also be adopted. That is, in combination with speech recognition technology, it supports doctors to input the lesion degree score of the lesion type of the joint part examined by the patient through voice. That is, the voice is automatically converted into text through speech recognition, the lesion degree score of the lesion type of the joint part examined is input, and the status update of the monitoring icon for the lesion degree score is triggered.

[0051] When the voice trigger method is adopted in steps S101 to S103, voice input can reduce the physical consumption of doctors repeatedly clicking for a long time, and is particularly suitable for rapid operations in high-workload environments.

[0052] Step S104: Automatically generate an ultrasound diagnosis report for the joint part according to the entered joint part, its lesion type, presence or absence of lesions, or lesion degree score.

[0053] Specifically, according to the presence or absence of lesions or the lesion degree score of each lesion type of the entered joint part, it is determined whether the joint part has abnormalities. If it is determined that the joint part has no abnormalities, an ultrasound diagnosis report indicating no abnormalities in the joint part is generated. If it is determined that the joint part has abnormalities, the lesion description and diagnosis conclusion corresponding to the entered joint part, its lesion type, presence or absence of lesions, or lesion degree score are queried in the database to generate an ultrasound diagnosis report including the lesion description and diagnosis conclusion of the joint part.

[0054] It should be noted that if none of the options in any lesion type and the lesion degree menu of a joint part (i.e., presence or absence of lesions, lesion degree score) are triggered, it is defaulted to 0, that is, no abnormalities.

[0055] In addition, during the execution of step S104, contradictions in the input are automatically identified to ensure the accuracy and consistency of the data.

[0056] Through the functions of simplifying input and automatically generating reports, the present invention reduces the time for musculoskeletal ultrasound doctors to write ultrasound diagnosis reports, improves efficiency, reduces the error rate, and enables musculoskeletal ultrasound doctors to focus more on diagnosis and patient management.

[0057] The method of the present invention may further include: obtaining multiple ultrasonic diagnostic reports of the same joint part of the same patient at different times, and determining the lesion change trend of each lesion type of the same joint part of the same patient according to the multiple ultrasonic diagnostic reports of the same joint part of the same patient at different times. For example, a chart is used to show the changes of each lesion type at different follow-up time points (such as the change trend of synovial hyperplasia score over time). Through dynamic trend analysis, it can help researchers observe the changes in the patient's condition, analyze the lesion development law of specific diseases, provide a basis for new drug research and development, and is applicable to the study of the dynamic changes of lesions in chronic joint diseases (such as rheumatoid arthritis, psoriatic arthritis, etc.).

[0058] Embodiment 2

[0059] See Figure 2 , the present invention provides a musculoskeletal ultrasound input and diagnostic report generation system, and the system 100 includes: a display 3, a memory 1, and a processor 2. Among them, a program that can run on the processor 2 is stored on the memory 1, and when the program is executed by the processor 2, it realizes the steps of the musculoskeletal ultrasound input and diagnostic report generation method as in Embodiment 1.

[0060] In this embodiment, the joint part refers to the specific position of any joint in the human body, such as the left shoulder joint, the right ankle joint, the right hand MCP1 joint, and so on.

[0061] Among them, the program may include the following core functional modules:

[0062] A user interaction module for providing a visual interface to support the selection of joint parts, the input of lesion types, the input of lesion degree scores, etc.

[0063] A data processing module for integrating the data input by the user and automatically generating a lesion description and a diagnosis conclusion. In particular, it matches the data input by the user to a preset standardized diagnosis description template to automatically generate a description and a diagnosis conclusion. In addition, it can also be used to automatically identify the contradictions in the input through logical judgment to ensure the accuracy and consistency of the data.

[0064] A report generation module for outputting an ultrasonic diagnostic report in combination with the results of the data processing module. In particular, a standardized ultrasonic diagnostic report template can be preset, and the results of the data processing module are matched to the standardized ultrasonic diagnostic report template.

[0065] A data storage and management module for saving the patient's examination records and supporting the query and analysis of follow-up data.

[0066] Taking the right PIP1 ultrasonic examination as an example, the detailed implementation process of the musculoskeletal ultrasound input and diagnostic report generation system provided by the present invention is as follows:

[0067] Step 1: Visual joint selection and lesion entry.

[0068] After the user logs in to the system, enter the human joint interface, see Figure 3 , all checkable joint parts are marked on the interface, such as shoulder joint, elbow joint, wrist joint, MCP joint, PIP joint, DIP joint, hip joint, knee joint, ankle joint, mid-foot joint, MTP joint, proximal interphalangeal joint of the foot, distal interphalangeal joint, etc. The user clicks on the target joint, taking the right PIP1 joint as an example, to enter the operation interface of the right PIP1 joint (or lesion entry interface, ultrasound examination entry interface) and select the type of lesion to be recorded.

[0069] In the operation interface of the right hand PIP1 joint, the system provides a preset list of lesion types, which may include one or more of "synovium, effusion, flexor tendon, extensor tendon, soft tissue, attachment point, bone, crystal deposition", pointing to one or more lesions of "synovitis, effusion, tenosynovitis, tendinitis, subcutaneous soft tissue inflammation, acute enthesitis, chronic enthesiopathy, bone erosion, osteophyte, double-track sign, aggregate, tophus", see Figures 4 to 11 . The user can select the specific lesion type according to the ultrasound examination results and input the lesion degree through the following standardized scoring method:

[0070] Semi-quantitative scoring (0 - 3 levels): Applicable to synovitis, tenosynovitis and other patterns under gray scale (GS) and Doppler blood flow (PD). Among them, "0" indicates no lesion, and "1 - 3" indicates the severity of the lesion. The larger the value, the higher the severity;

[0071] Qualitative evaluation (0 / 1): Applicable to lesions such as effusion, tendinitis, subcutaneous soft tissue inflammation, enthesitis, bone erosion, osteophyte, double-track sign, aggregate, tophus, etc. Among them, "0" indicates no lesion, and "1" indicates a lesion.

[0072] Adopt a unified semi-quantitative scoring of 0 - 3 levels and qualitative evaluation of 0 / 1 to ensure data accuracy.

[0073] The user can select multiple lesion types at the same time and score each lesion separately.

[0074] The present invention designs a visual interface, so the input process can be simplified through click operations, enhancing the usability. As a supplement, an artificial intelligence (AI) assisted diagnosis module can be introduced into the system. Specifically, through machine learning algorithms (such as deep learning), a diagnostic model is trained using ultrasound image data to achieve automatic identification and preliminary evaluation of lesions. In one embodiment, the assisted diagnosis module can automatically detect abnormal features in the ultrasound image before the doctor enters the data, directly recommending the lesion type and scoring results to the doctor, reducing the doctor's operation steps. In another embodiment, the lesion type and scoring results output by the assisted diagnosis module can be used as a reference for the doctor. On the one hand, it can reduce missed diagnoses or misdiagnoses caused by human subjective judgment, especially for the judgment of complex lesions. On the other hand, it helps doctors with insufficient experience or primary medical institutions improve their diagnostic level.

[0075] Step 2: Data integration and logical judgment

[0076] After the input is completed, the system integrates all the input information and automatically processes the data after receiving the joint part, lesion type, and scoring results input by the user.

[0077] Among them, a standardized diagnostic description template can be pre-built, so that the data input by the user (joint part, lesion type, and scoring results) can be matched to the preset diagnostic description template. Then, by searching the database, the corresponding lesion description and diagnostic results found are written into the preset diagnostic description template.

[0078] Among them, according to the scoring rules, a diagnostic description of abnormal or normal right PIP1 joint can be judged and generated, and a corresponding diagnostic conclusion is generated for the diagnostic description. For example: If it is detected that "synovium" has been triggered and the scoring results are "GS2 grade, PD1 grade", see Figure 4 , then the system generates a diagnostic description of abnormal right PIP1 joint of "synovial hyperplasia GS2 grade, PD1 grade" and a diagnostic conclusion of "synovitis". If it is detected that "effusion" has been triggered and the evaluation result is "there is effusion", see Figure 5 , then the system generates a diagnostic description of abnormal right PIP1 joint of "anechoic area, compressible" and a diagnostic conclusion of "effusion". If it is detected that "flexor tendon" has been triggered and the scoring results are "tendon sheath GS1 grade, tendon sheath PD1 grade", see Figure 6 , then the system generates a diagnostic description of abnormal right PIP1 joint of "flexor tendon dilation, GS1 grade, PD1 grade" and a diagnostic conclusion of "flexor tenosynovitis". If it is detected that "extensor tendon" has been triggered and the evaluation result is "tendon thickening, PD in tendon", see Figure 7, the system generates a diagnostic description of the right PIP1 joint abnormality of "thickening of the extensor tendon, with Doppler blood flow signal detectable inside" and a diagnostic conclusion of "extensor tendinitis". If it is detected that "soft tissue" has been triggered and the scoring result is "soft tissue edema, PD inside the soft tissue", see Figure 8 , the system generates a diagnostic description of the right PIP1 joint abnormality of "subcutaneous soft tissue edema, with Doppler blood flow signal detectable inside" and a diagnostic conclusion of "soft tissue inflammation". If it is detected that "enthesis" has been triggered and the scoring result is "thickening, PD at the enthesis", see Figure 9 , the system generates a diagnostic description of the right PIP1 joint abnormality of "thickening of the enthesis, with Doppler blood flow signal" and a diagnostic conclusion of "acute enthesitis". If it is detected that "bone" has been triggered and the evaluation result is "bone erosion", see Figure 10 , the system generates a diagnostic description of the right PIP1 joint abnormality of "discontinuity of the bone cortex" and a diagnostic conclusion of "bone erosion". If it is detected that "crystal deposition" has been triggered and the "evaluation result is "double-track sign", see Figure 11 , the system generates a diagnostic description of the right PIP1 joint abnormality of "double-track sign" and a diagnostic conclusion of "double-track sign". If no lesion type is selected or entered, by default, all scores / evaluations are 0, and the system automatically generates a diagnostic description or conclusion of "no abnormality found in the right PIP1 joint".

[0079] Figures 4 to 11 The arrows and the adjacent circled numbers in

[0080] are only used to indicate the order of click triggers.

[0081] Based on the results of Step 2, the system automatically generates a diagnostic report.

[0082] Standardized diagnostic report templates can be pre-built, and the following three parts of content are included in the standardized diagnostic report template:

[0083] 1. Patient information: Basic information such as patient name, number, examination date, etc.;

[0084] 2. Examination site and lesion description: Record all selected joint sites and their corresponding lesion descriptions;

[0085] 3. Diagnostic conclusion: Summarize all lesion results, and display a normal report if there are no lesions.

[0086] Import the patient information in the database into Part 1, and import the diagnostic descriptions and diagnostic conclusions of all lesion types of the right PIP1 joint in the diagnostic description template into Parts 2 and 3 of the diagnostic report template respectively. For example, by summarizing Figures 4 to 11 the lesion descriptions of all lesion types of the right PIP1 joint in Figure 12The described lesion is specifically "Description: Synovial hyperplasia of the right PIP1 joint, GS grade 2, PD grade 1; anechoic area, compressible; flexor tendon sheath dilation, GS grade 1, PD grade 1; extensor tendon thickening, with Doppler blood flow signal detectable inside; subcutaneous soft tissue edema, with Doppler blood flow signal detectable inside; enthesis thickening, accompanied by Doppler blood flow signal; cortical bone discontinuity; double-track sign"; by summarizing Figures 4 to 11 the diagnostic conclusions of all lesion types in the right PIP1 joint in Figure 12 the shown diagnostic conclusion is formed, specifically "Diagnosis: Synovitis of the right PIP1 joint, effusion, flexor tenosynovitis, extensor tendinitis, subcutaneous soft tissue inflammation, acute enthesitis, bone erosion, double-track sign". Additionally, if there is no lesion, the lesion description is "Description: No signs of synovitis, effusion, tenosynovitis, peritendinitis, tendinitis, subcutaneous soft tissue inflammation, enthesitis, bone erosion, osteophyte, double-track sign, tophus, aggregate, etc. were found in the right PIP1 joint", and the diagnostic conclusion is "Diagnosis: No obvious abnormality was found in the right PIP1 joint". Based on the above steps, a standardized diagnostic report can be automatically generated.

[0087] The automatically generated report above is a preliminary report, and the user can further modify and confirm the description and diagnosis on the preliminary report to ensure the accuracy of the description and diagnosis in the diagnostic report.

[0088] The automated report generation of the present invention, that is, generating a diagnostic report immediately based on the input data, can significantly reduce the manual operation time. In particular, it can automatically identify negative results and generate a normal report automatically, while being able to avoid omissions and reduce the error rate, solving the problems in the prior art that report generation relies on manual work, has low efficiency and is prone to omitting important information.

[0089] As a supplement, the system of the present invention can also have a personalized report customization module, which allows the user to customize or adjust the structure, format or content of the report according to specific needs.

[0090] Step 4: Data storage and management.

[0091] The present invention supports data storage and analysis. The system stores all the input information, scoring results and generated reports of the patient in the database, facilitating subsequent query, historical data comparison and large-scale data statistical analysis. At the same time, the data format is standardized and unified, facilitating export and scientific research applications, providing standardized case data support for scientific research work.

[0092] Step 5: Data output and export.

[0093] The finally confirmed report can be exported in PDF format, supporting direct printing or electronic archiving. The user can also choose to upload the diagnostic data to the hospital information system (HIS) or scientific research database.

[0094] As a supplement, the system of the present invention may also have a telemedicine module for uploading the ultrasonic images and reports of patients to the cloud in an encrypted manner for review or consultation by telemedicine experts. It is applicable for doctors in remote areas to upload cases through the system for remote expert guidance in diagnosis, which helps improve the primary medical level and reduce the cost for patients in remote areas to visit large cities or big hospitals.

[0095] The system of the present invention takes the human joint interface as the interaction entry, selects the target joint part through click operation, and combines the input of the lesion type and scoring result. It generates a report by using the built-in template and logical judgment rules, and at the same time automatically processes the negative results to output a normal report, realizing the full-process optimization of musculoskeletal ultrasound examination from input to report generation. It effectively solves the problems existing in the prior art such as complex input operation, low efficiency, easy error, and insufficient standardization, improves the working efficiency and diagnostic quality of doctors, provides strong support for scientific research and the development of industry standardization, and has broad clinical application prospects and promotion value.

[0096] Embodiment III

[0097] The present invention also provides a storage medium, in which a program is stored. When the program is executed by a processor, the steps of the musculoskeletal ultrasound input and diagnostic report generation method as in Embodiment I are realized.

[0098] In summary, the present invention has the following advantages:

[0099] 1. Improve the input operation efficiency and significantly reduce the input time.

[0100] Through the visual interface and click-based operation process, the present invention greatly simplifies the data input process. The user only needs to click on the target joint part and select the corresponding lesion type and lesion degree score to complete the input, without complex manual input operations. The time required for this intuitive interactive data input method can be shortened to 30%-50% of the traditional manual input method. The input process for a single examination can be completed within a few minutes, significantly improving the operation efficiency of doctors, reducing the waiting time for patient examinations, and improving the clinical work efficiency.

[0101] 2. Reduce the error rate and improve the accuracy of diagnostic results.

[0102] Through the selection of lesion types and score input on the standardized interface, the present invention avoids problems such as information omission and data input errors in the manual input process, and can reduce the human input error rate by more than 80%, significantly improving the accuracy and reliability of diagnostic results.

[0103] 3. Standardize the diagnosis and unify the ultrasound examination specifications.

[0104] The present invention ensures the unity of ultrasonic diagnostic data through a standardized lesion classification and scoring system (including a semi-quantitative score of 0-3 levels and a qualitative evaluation of 0 / 1), and realizes the standardization and normalization of ultrasonic diagnosis. Through this standardized input process and automated report generation method, not only can the comparability of ultrasonic examination data among medical institutions be improved, but also a foundation is laid for the accumulation and sharing of scientific research data.

[0105] 4. Automatically generate reports to reduce the workload of doctors.

[0106] The present invention can automatically generate a standardized diagnostic report, including a description of abnormal results and a normal report for negative results, by combining the input data and built-in templates. This function significantly reduces the workload of doctors in manually editing reports, and at the same time avoids the risk of omission of important information or incomplete reports. The accuracy rate of automated report generation reaches more than 99%, and the report generation time for each case is shortened to several seconds.

[0107] 5. Automatically generate negative results to improve efficiency.

[0108] The present invention can automatically identify negative results (no lesion input) through a logical judgment module and generate a standardized normal report, reducing the editing time of normal reports by more than 80%. The report generation efficiency of normal cases is increased to more than 5 times that of the traditional method, greatly simplifying the report generation work for a large number of normal cases and saving more time for doctors to handle complex cases.

[0109] The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, but this does not limit the scope of the rights of the present invention. Any modifications, equivalent replacements, and improvements made by those skilled in the art without departing from the scope and essence of the present invention shall fall within the scope of the rights of the present invention.

Claims

1. A method for recording musculoskeletal ultrasound and generating diagnostic reports, characterized in that: The method comprises: Monitoring triggering events of joint parts in a human joint interface, and when monitoring a triggering event of a joint part in the human joint interface, displaying an ultrasonic examination input interface of the joint part, and inputting the joint part; Monitoring the triggering event of the lesion type in the ultrasound examination input interface, and when monitoring the triggering event of a lesion type in the ultrasound examination input interface, displaying the lesion degree menu of the lesion type, and inputting the lesion type of the joint; monitoring a triggering event of the presence or absence of a lesion or a lesion degree score in the lesion degree menu, and upon monitoring a triggering event of the presence or absence of a lesion or a lesion degree score in the lesion degree menu, recording the presence or absence of a lesion or the lesion degree score of the lesion type; An ultrasonic diagnostic report of the joint part is automatically generated based on the entered joint part and its lesion type, the presence or absence of lesions or the lesion severity score.

2. The method according to claim 1, characterized in that When a trigger event of a joint part in the human joint interface is monitored, displaying the ultrasonic examination input interface of the joint part includes: When a trigger event of a joint part in the human joint interface is monitored, the interface is transferred from the human joint interface to the ultrasound examination input interface of the joint part by means of interface jumping; or, the ultrasound examination input interface of the joint part is arranged in front of the human joint interface by means of interface stacking.

3. The method according to claim 2, characterized in that The method further comprises: Before monitoring the triggering events of the joint parts in the human joint interface, designing the human joint interface; A monitoring icon is added to each joint part that can be checked in the human joint interface, and a trigger event listener is added to the monitoring icon of each joint part to monitor the trigger event of any joint part in the human joint interface.

4. The method according to claim 2, characterized in that: The method further comprises: Before monitoring the triggering events of the joint parts in the human joint interface, an ultrasound examination input interface is designed for each joint part, wherein the ultrasound examination input interface of any joint part includes the name of the joint part and its lesion type; A trigger event listener is added for each lesion type in the ultrasound examination entry interface of any joint part to monitor the trigger event of any lesion type in the ultrasound examination entry interface of the joint part.

5. The method according to claim 1, characterized in that When a trigger event for a lesion type in the ultrasound examination input interface is monitored, displaying a lesion degree menu for the lesion type includes: When a trigger event for a lesion type in the ultrasound examination input interface is monitored, checking the status of the lesion degree menu of the lesion type; If the state of the lesion degree menu of the lesion type is hidden, the lesion degree menu is displayed in the ultrasound examination input interface by a pull-down method, a pop-up method, or a side slide-out method.

6. The method according to claim 1, characterized in that The method further comprises: Before monitoring the triggering events of the joint parts in the human joint interface, a lesion degree menu is designed for each lesion type, wherein the lesion degree menu expresses different lesion degree scores in a semi-quantitative scoring manner, or expresses the presence or absence of lesions in a qualitative evaluation manner; Adding a state attribute indicating whether the lesion degree menu is displayed or hidden to the lesion degree menu of each lesion type; A trigger event listener is added to each lesion degree score in the lesion degree menu to monitor the trigger event of any lesion degree score in the lesion degree menu.

7. The method according to claim 1, characterized in that The automatically generating the ultrasonic diagnosis report of the joint part according to the entered joint part and its lesion type, lesion presence or lesion degree score includes: Determine whether the joint part has abnormality according to the recorded lesion presence or lesion severity score of each lesion type of the joint part; If it is determined that there is no abnormality in the joint, an ultrasound diagnosis report indicating that there is no abnormality in the joint is generated; If it is determined that there is an abnormality in the joint, the database is queried for the lesion description and diagnostic conclusion corresponding to the entered joint and its lesion type, presence or absence of lesions, or lesion severity score, so as to generate an ultrasound diagnostic report containing the lesion description and diagnostic conclusion of the joint.

8. The method according to any one of claims 1 to 7, characterized in that: The method further comprises: Obtain multiple ultrasound diagnostic reports of the same patient and the same joint at different times; According to the multiple ultrasound diagnosis reports of the same joint of the same patient at different times, the lesion change trend of each lesion type at the same joint of the same patient is determined.

9. A musculoskeletal ultrasound recording and diagnostic report generation system, characterized in that: The system includes: a display, a memory and a processor, wherein the memory stores a program that can be run on the processor, and when the program is executed by the processor, the steps of the musculoskeletal ultrasound recording and diagnostic report generation method as described in any one of claims 1-8 are implemented.

10. A storage medium, characterized in that: The storage medium stores a program, and when the program is executed by the processor, the steps of the musculoskeletal ultrasound recording and diagnostic report generation method as described in any one of claims 1-8 are implemented.

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