A method and system for assessing the prognosis risk of systemic sclerosis-associated interstitial lung disease

Abstract

The application discloses a kind of based on computer implementation's systemic sclerosis related interstitial lung disease (SSc-ILD) prognosis risk assessment method and system. The method comprises: obtaining the baseline data of the object to be evaluated, including gender, age, forced vital capacity percentage of predicted value and carbon monoxide diffusing capacity percentage of predicted value;Obtain the Warrick score value of chest high-resolution computer tomography image;According to the preset basic score rule, score each parameter of baseline data, and obtain the basic score;Warrick score value is compared with preset image threshold value, when Warrick score value is greater than or equal to image threshold value, additional score value is given;The basic score and additional score value are added to obtain the comprehensive score;According to the preset stratification rule, the comprehensive score is mapped to the corresponding risk level and the evaluation result is output. The present application improves the recognition ability of patients with different risk levels by structurally integrating pulmonary function parameters and imaging scores, and is based on conventional clinical data that can be obtained, which is convenient for implementation and promotion.

Description

Technical Field

[0001] This invention relates to the field of medical data processing technology, specifically to a computer-based method and system for processing data related to prognostic risk assessment of systemic sclerosis-associated interstitial lung disease. Background Technology

[0002] Systemic sclerosis (SSc) is an autoimmune disease characterized by immune dysregulation, vascular damage, and progressive fibrosis, affecting the skin and multiple organ systems. Interstitial lung disease (ILD) is one of the most common and serious visceral complications of SSc and a leading cause of death in SSc patients. As the disease progresses, the interstitial structure of the lungs gradually deteriorates, and gas exchange function declines, significantly impacting patient prognosis. Therefore, accurate risk assessment and prognostic prediction for SSc-ILD patients are crucial for developing appropriate individualized treatment plans.

[0003] The ILD-GAP scoring model is one of the most widely used tools for prognostic assessment of ILD, and its clinical application value has been validated in multiple SSc-ILD study cohorts both domestically and internationally. This model primarily quantifies four parameters: gender, age, forced vital capacity as a percentage of predicted value, and carbon monoxide diffusion as a percentage of predicted value. Based on the total score, patients are classified into different risk levels to predict mortality or disease progression.

[0004] In addition, in terms of imaging, high-resolution computed tomography (HRCT) of the chest is an important means of diagnosing and assessing interstitial lung disease, and the Warrick score is also one of the commonly used semi-quantitative assessment tools for HRCT. It reflects the severity of lung structural damage by scoring the types and extent of abnormalities in the images, such as ground-glass opacities, irregular pleural margins, septal lines or subpleural lines, honeycomb changes, and subpleural cysts.

[0005] However, existing technologies have the following shortcomings in practical applications: First, the assessment dimensions are limited. SSc is a heterogeneous disease, and existing ILD-GAP models are mainly built based on lung function parameters without integrating imaging information. Therefore, they cannot fully reflect the disease range and severity of ILD, resulting in poor model performance in SSc prognostic assessment applications.

[0006] Second, the ability to identify patients in the early stages of the disease or those with relatively preserved lung function is limited. In some patients, lung function indicators are still within a relatively normal range in the early stages of the disease, but imaging already shows significant abnormalities in the interstitial lung structure. Relying solely on lung function indicators for assessment may underestimate the severity of the disease in these patients.

[0007] Third, the use of imaging information is insufficient. Although HRCT is widely used in clinical practice, existing assessment methods mostly remain at the level of image description or simple grading, failing to be effectively combined with prognostic assessment models, and the utilization rate of imaging results in prognostic assessment is not high.

[0008] Fourth, the granularity of risk stratification is insufficient. Existing scoring models exhibit uneven stratification in some patient groups, with a higher proportion of low-risk patients and insufficient identification of high-risk patients, which affects the guiding role of stratification results in clinical decision-making.

[0009] Fifth, the clinical applicability of some emerging methods is limited. In recent years, although assessment methods based on radiomics or artificial intelligence can improve predictive performance to some extent, they usually have high requirements for equipment, software and professional skills, and the operation process is complex, making them difficult to promote and apply in routine clinical settings.

[0010] In summary, there is an urgent need for a data processing method for SSc-ILD prognostic assessment that can structurally integrate pulmonary function parameters with imaging scores and improve the accuracy of risk stratification while maintaining clinical operability. Summary of the Invention

[0011] To address the aforementioned shortcomings in existing technologies, this invention provides a computer-based method and system for processing data to assess the prognostic risk of systemic sclerosis-related interstitial lung disease. By constructing a comprehensive scoring system that integrates pulmonary function parameters and imaging scores, the invention achieves quantitative stratification of patient risk.

[0012] To achieve the above objectives, the present invention adopts the following technical solution: On one hand, the present invention provides a computer-based method for processing data for prognostic risk assessment of systemic sclerosis-related interstitial lung disease, comprising the following steps: Step S1: Obtain the baseline data of the subject to be evaluated. The baseline data includes interstitial lung disease diagnosis and classification information, gender information, age information, forced vital capacity as a percentage of predicted value (%FVC), and carbon monoxide diffusion capacity as a percentage of predicted value (%DLco).

[0013] Step S2: Obtain the Warrick score corresponding to the high-resolution computed tomography (HRCT) images of the subject to be evaluated. The Warrick score is obtained by quantifying the type and extent of lung abnormalities in the HRCT images.

[0014] Step S3: According to the preset basic scoring rules, assign scores to each parameter of the baseline data mentioned in Step S1, and add up the scores of each parameter to obtain the basic score. The basic scoring rules set corresponding value ranges and scores for interstitial lung disease diagnosis classification, gender, age, %FVC, and %DLco.

[0015] Step S4: Compare the Warrick score obtained in step S2 with a preset imaging threshold. When the Warrick score is greater than or equal to the imaging threshold, a preset additional score is assigned; when the Warrick score is less than the imaging threshold, the additional score is zero. This design allows patients with structural damage on imaging but no significant abnormalities in lung function indicators to obtain higher overall scores, thus identifying them as having a higher risk level.

[0016] Step S5: Add the base score and the additional score to obtain the comprehensive score.

[0017] Step S6: Map the comprehensive score to the corresponding risk level according to the preset stratification rules, and output the risk assessment result.

[0018] Furthermore, the basic scoring rules are as follows: The diagnostic classification of interstitial lung disease was scored as follows: when the diagnostic classification was idiopathic pulmonary fibrosis (IPF) or unclassified interstitial lung disease (UC-ILD), the score was 0; when the diagnostic classification was connective tissue disease-associated interstitial pneumonia (CTD-IP), idiopathic nonspecific interstitial pneumonia (iNSIP), or chronic allergic pneumonia (CHP), the score was -2.

[0019] Assign points based on gender: males are assigned 1 point, and females are assigned 0 points.

[0020] Age is assigned a score: 0 points are assigned to those who are 60 years old or younger, 1 point is assigned to those who are 61 to 65 years old, and 2 points are assigned to those who are 65 years old or older.

[0021] The forced vital capacity is scored as a percentage of the predicted value: 0 points for greater than 75%, 1 point for 50% to 75%, and 2 points for less than 50%.

[0022] The percentage of carbon monoxide dispersion relative to the predicted value is scored as follows: 0 points for greater than 55%, 1 point for 36% to 55%, 2 points for less than or equal to 35%, and 3 points for when it cannot be tested.

[0023] Furthermore, the image threshold is 14 points, and the additional score is 3 points. That is, when the Warrick score is greater than or equal to 14 points, the additional score is 3 points; otherwise, it is 0 points.

[0024] Furthermore, the stratification rules include: when the comprehensive score is less than or equal to 1 point, it is mapped to the Phase I risk level; when the comprehensive score is 2 to 3 points, it is mapped to the Phase II risk level; when the comprehensive score is 4 to 5 points, it is mapped to the Phase III risk level; and when the comprehensive score is greater than 5 points, it is mapped to the Phase IV risk level.

[0025] Furthermore, the calculation of the Warrick score comprises two components: a severity score and a extent score. The severity score is assigned based on the type of abnormality appearing on HRCT images: ground-glass opacity is assigned 1 point, irregular pleural margins 2 points, septal lines or subpleural lines 3 points, honeycomb-like changes 4 points, and subpleural cysts 5 points. The scores for each abnormality type are summed to obtain the severity score, with a maximum of 15 points. The extent score is assigned based on the number of lung segments affected, ranging from 0 to 15 points. The severity score and the extent score are added together to obtain the Warrick score, ranging from 0 to 30 points.

[0026] On the other hand, the present invention also provides a prognostic risk assessment system for systemic sclerosis-related interstitial lung disease, comprising: The data acquisition module is used to acquire baseline data and Warrick scores corresponding to high-resolution computed tomography images of the chest of the subject to be evaluated.

[0027] The basic scoring module is used to assign scores to each parameter in the baseline data according to the preset basic scoring rules, and then add up the scores of each parameter to obtain the basic score.

[0028] The image scoring module compares the Warrick score with a preset image threshold and outputs the corresponding additional score based on the comparison result.

[0029] The comprehensive scoring module is used to add the basic score and the additional score to obtain the comprehensive score.

[0030] The risk stratification module is used to map the comprehensive score to the corresponding risk level according to the preset stratification rules and output the risk assessment results.

[0031] The results display module is used to present the comprehensive score, risk level, and corresponding assessment information to the user through the display interface.

[0032] Compared with the prior art, the present invention has the following beneficial effects: First, it achieves structured integration of multi-source information. This invention, by setting up a basic scoring module and an imaging scoring module, calculates and overlays lung function parameters and imaging scores within a unified scoring system, forming a single comprehensive score result. This avoids the problem of interpreting multiple types of information independently in existing technologies.

[0033] Second, improve the ability to identify specific patient groups. By introducing imaging scoring thresholds and additional scoring mechanisms, the comprehensive score is corrected when the imaging score exceeds the threshold. This ensures that patients with structural abnormalities on imaging but whose lung function indicators have not yet declined significantly are reflected in the scoring results, thereby improving the ability to identify such patients.

[0034] Third, it enhances the computability of imaging information in assessment. This invention transforms the Warrick score of HRCT images into a binary additional score, which is then incorporated into the comprehensive scoring system, thus converting the originally descriptive imaging information into a variable that can participate in unified calculations.

[0035] Fourth, optimize the risk stratification structure. By introducing imaging scoring variables, the range of comprehensive scores is expanded, the distribution of patients across different risk levels is more balanced, and the differentiation between risk levels is improved.

[0036] Fifth, it has good clinical feasibility. This invention is based on routinely available clinical pulmonary function test data and HRCT imaging scores, and completes score calculation and risk stratification through preset rules. It does not rely on complex computing equipment or additional testing methods, and is easy to deploy and implement in routine clinical information systems. Attached Figure Description

[0037] Figure 1 A flowchart illustrating a data processing method for prognostic risk assessment of systemic sclerosis-related interstitial lung disease, provided as an embodiment of the present invention; Figure 2 A schematic diagram of the module structure of a prognostic risk assessment system for systemic sclerosis-related interstitial lung disease provided in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the composition and calculation method of the Warrick score in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the calculation of the comprehensive score and risk stratification in an embodiment of the present invention; Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0039] See Figure 1 This embodiment provides a computer-based method for processing data to assess the prognostic risk of systemic sclerosis-associated interstitial lung disease (SSc-ILD). This method runs on a computer, receives collected clinical examination data as input, and outputs the risk assessment results after scoring and stratification. It should be noted that all data involved in this method (including pulmonary function test results, HRCT imaging scores, etc.) are existing data obtained after the completion of clinical examinations; this method itself does not involve direct testing of the human body.

[0040] The method includes the following steps:

[0041] The computer acquires baseline data of the object to be evaluated from the data input terminal. The baseline data includes the following five parameters: (1) Diagnostic classification information for interstitial lung disease. Based on the patient's clinical diagnosis, the classification category of their ILD is determined. In this embodiment, the classification includes two main categories: the first category is idiopathic pulmonary fibrosis (IPF) and unclassified interstitial lung disease (UC-ILD); the second category is connective tissue disease-associated interstitial pneumonia (CTD-IP), idiopathic nonspecific interstitial pneumonia (iNSIP), and chronic allergic pneumonia (CHP). Since systemic sclerosis is a connective tissue disease, SSc-ILD patients belong to the second category under this item, namely CTD-IP, and are assigned a score of -2.

[0042] (2) Gender information. Record the patient's biological sex, male or female.

[0043] (3) Age information. Record the patient’s actual age in years.

[0044] (4) Percentage of forced vital capacity to predicted value (%FVC). This data is derived from the patient's completed pulmonary function test report.

[0045] (5) Percentage of carbon monoxide diffusing capacity relative to predicted value (%DLco). This data is also derived from the lung function test report. Patients who are unable to complete the diffusing capacity test due to their condition are marked as 'unable to test'.

[0046] The above data can be entered into the computer manually or automatically obtained through a data interface that interfaces with the hospital's electronic medical record (EMR) system or laboratory information system (LIS).

[0047] The computer obtains the Warrick score corresponding to the high-resolution computed tomography (HRCT) images of the chest of the subject to be evaluated from the data input terminal.

[0048] The Warrick score is a semi-quantitative visual scoring method for HRCT images, consisting of two parts: severity score and extent score.

[0049] The severity score is assigned based on the following five abnormality types on HRCT images: ground-glass opacity (1 point); irregular pleural margins (2 points); septal lines or subpleural lines (3 points); honeycomb-like changes (4 points); and subpleural cysts (5 points). When multiple abnormality types are present on the images, the scores for each type are added together. Each abnormality type is counted a maximum of once. The severity score ranges from 0 to 15 points.

[0050] The extent scoring section is based on the number of lung segments affected in the imaging. The human lungs have a total of 18 segments (10 in the right lung and 8 in the left). Scoring is assigned according to the number of affected segments as follows: 0 points for no affected segments; 1 to 3 affected segments for 1 point; 4 to 9 affected segments for 2 points; and then the score increases progressively based on the extent of involvement, up to a maximum of 15 points (i.e., all lung segments are affected). Specific segmental scoring rules refer to the original definition of the Warrick score.

[0051] The severity score and the range score are added together to obtain the Warrick score (also known as the Warrick total score), which ranges from 0 to 30. This score can be manually entered into the system by radiologists after interpreting HRCT images. In medical institutions with the necessary resources, software tools can also be used to assist in the scoring process.

[0052] Figure 3 The diagram illustrates the composition and calculation method of the Warrick score.

[0053] The computer assigns scores to the five baseline data parameters acquired in step S1 according to preset basic scoring rules. The specific scoring rules are shown in the table below: The baseline score is obtained by adding the scores of the above parameters. For SSc-ILD patients, since their diagnostic classification belongs to CTD-IP, the baseline score already includes a -2 point score for the diagnostic classification. Therefore, the theoretical range of the baseline score for SSc-ILD patients is -2 to 6 points (when the diagnostic classification is CTD-IP, female, age ≤60 years, %FVC>75%, and %DLco>55%, the baseline score is -2+0+0+0+0=-2 points; when the diagnostic classification is CTD-IP, male, age >65 years, %FVC<50%, and %DLco cannot be tested, the baseline score is -2+1+2+2+3=6 points).

[0054] The computer compares the Warrick score obtained in step S2 with a preset image threshold. In this embodiment, the image threshold is set to 14 points.

[0055] When the Warrick score is greater than or equal to 14, it indicates that the patient's HRCT imaging shows relatively obvious damage to the interstitial lung structure, with an additional score of 3 points.

[0056] When the Warrick score is less than 14, the bonus score is 0.

[0057] The selection of 14 points as the imaging threshold is based on the following: This threshold was determined through statistical analysis of clinical samples, using time-dependent receiver operating characteristic (ROC) curve analysis, and taking the value corresponding to the maximum Yoden index. The original optimal value obtained from the statistical analysis was 14.5 points, but for the sake of simplicity in clinical operation, it was rounded to 14 points.

[0058] The selection of 3 points as the additional score was based on the following: the additional score was determined by comparing the regression coefficients corresponding to the Warrick score in the multivariate regression analysis with the model's goodness of fit (AIC value) and discrimination index (C-index). Among the various scoring schemes tested, the scheme with 3 points performed best in terms of overall model performance indicators.

[0059] It should be noted that the image threshold and additional score values ​​described above are preferred values ​​in this embodiment. In other implementation environments, the image threshold and additional score values ​​can be adjusted according to different clinical samples and application requirements. For example, in some application scenarios, the image threshold can be selected in the range of 12 to 16 points, and the additional score can be set in the range of 2 to 4 points, both of which fall within the protection scope of this invention.

[0060] Based on the above scoring rules, the complete scoring system of this embodiment is shown in the table below:

[0061] The baseline score obtained in step S3 is added to the additional score determined in step S4 to obtain the comprehensive score. For SSc-ILD patients, the theoretical range of the comprehensive score is -2 to 9 points.

[0062] According to preset stratification rules, the comprehensive score is mapped to the corresponding risk level. In this embodiment, the stratification rules are as follows: Phase I: A comprehensive score of 1 point or less corresponds to a lower risk level; Phase II: The overall score is 2 to 3 points, corresponding to a medium to low risk level; Phase III: A comprehensive score of 4 to 5 points, corresponding to a medium to high risk level; Stage IV: A comprehensive score greater than 5 points corresponds to a higher risk level.

[0063] The computer outputs a comprehensive score and its corresponding risk level as the assessment result, which can be provided to users for reference through display screens, printed reports, or data interfaces.

[0064] Figure 4 The calculation of the comprehensive score and the risk stratification process are illustrated schematically.

[0065] See Figure 2 This embodiment provides a prognostic risk assessment system for systemic sclerosis-related interstitial lung disease. The system is deployed on a computer device and includes the following functional modules: (1) Data Acquisition Module. This module is responsible for acquiring the baseline data and Warrick score of the subjects to be evaluated. Baseline data includes interstitial lung disease diagnostic classification information, gender information, age information, forced vital capacity as a percentage of predicted value (%FVC), and carbon monoxide diffusing capacity as a percentage of predicted value (%DLco). Data can be acquired through a manual input interface or automatically through a data interface with the hospital information system. Warrick scores are entered by radiologists based on their interpretation of HRCT images.

[0066] (2) Basic Scoring Module. This module receives baseline data from the data acquisition module, assigns scores to each parameter according to preset basic scoring rules, adds up the scores of each parameter, and outputs the basic score. The specific content of the scoring rules is consistent with step S3 in Embodiment 1.

[0067] (3) Image scoring module. This module receives the Warrick score from the data acquisition module and compares it with the preset image threshold (14 points). When the Warrick score is greater than or equal to 14 points, an additional score of 3 points is output; otherwise, 0 points are output.

[0068] (4) Comprehensive scoring module. This module receives the basic score output by the basic scoring module and the additional score output by the image scoring module, adds the two together to obtain the comprehensive score and outputs it.

[0069] (5) Risk stratification module. This module receives the comprehensive score output by the comprehensive scoring module, maps it to the corresponding risk level (Phase I to Phase IV) according to the preset stratification rules, and outputs the risk assessment results.

[0070] (6) Results Display Module. This module displays the assessment results output by the risk stratification module, including the comprehensive score, risk level, and corresponding stratification information, in graphical or textual form through the user interface. Display methods may include, but are not limited to: displaying the scoring results and risk level identifiers on the screen, generating an assessment report for printing or storage, and transmitting the results to the electronic medical record system through a data interface.

[0071] The data flow between the above modules is as follows: the data acquisition module sends baseline data to the basic scoring module and Warrick scores to the image scoring module; the basic scoring module and the image scoring module each send their outputs to the comprehensive scoring module; the comprehensive scoring module sends the comprehensive score to the risk stratification module; and the risk stratification module sends the assessment results to the results display module. The entire data processing flow is completed automatically on the computer equipment.

[0072] The following are several specific application examples illustrating the implementation process of the method of the present invention.

[0073] Example 1: A 56-year-old female patient was diagnosed with SSc-ILD (belonging to the CTD-IP category). Pulmonary function tests showed %FVC of 82%, %DLco of 60%, and Warrick score of 8 on HRCT imaging.

[0074] According to the basic scoring rules: -2 points for diagnostic classification, 0 points for gender (female), 0 points for age (56 years, ≤60 years), 0 points for %FVC (82%, >75%), and 0 points for %DLco (60%, >55%). The basic score is -2 + 0 + 0 + 0 + 0 = -2 points.

[0075] The Warrick score is 8 points, which is less than the image threshold of 14 points, and the additional score is 0 points.

[0076] The overall score is -2 + 0 = -2 points. This corresponds to a Stage I risk level. This patient belongs to the lower risk category.

[0077] Example 2: A 63-year-old male patient was diagnosed with SSc-ILD (belonging to the CTD-IP category), with %FVC of 68%, %DLco of 48%, and a Warrick score of 10 on HRCT imaging.

[0078] Baseline scoring: -2 points for diagnostic classification, 1 point for gender (male), 1 point for age (63 years, 61-65 years), 1 point for %FVC (68%, 50%-75%), and 1 point for %DLco (48%, 36%-55%). The baseline score is -2 + 1 + 1 + 1 + 1 = 2 points.

[0079] Warrick's score is 10 points, which is less than 14 points, so the bonus score is 0 points.

[0080] Overall score = 2 + 0 = 2 points. Mapped to Phase II risk level.

[0081] Example 3: A 58-year-old female patient was diagnosed with SSc-ILD (belonging to the CTD-IP category), with %FVC of 78%, %DLco of 58%, and a Warrick score of 18 on HRCT imaging.

[0082] Baseline scoring: -2 points for diagnostic classification, 0 points for gender (female), 0 points for age (58 years, ≤60 years), 0 points for %FVC (78%, >75%), and 0 points for %DLco (58%, >55%). The baseline score is -2 + 0 + 0 + 0 + 0 = -2 points.

[0083] Warrick's score is 18 points, with a bonus of 3 points for a score of 14 or higher.

[0084] Overall score = -2 + 3 = 1 point. Mapped to Phase I risk level.

[0085] This example illustrates the role of the imaging scoring module: Although the patient's pulmonary function indicators were all within the normal range, based solely on the baseline score (-2 points), they would have been classified into the lowest risk group. However, because their HRCT imaging showed relatively significant abnormalities in the interstitial lung structure (Warrick score 18 points), the overall score was improved to 1 point through the adjustment of the imaging additional score. While still in stage I, the score was close to the stage II threshold. This suggests that clinicians should pay close attention to the patient's radiographic progression.

[0086] Example 4: A 67-year-old male patient was diagnosed with SSc-ILD (belonging to the CTD-IP category), with %FVC of 45%, %DLco of 30%, and a Warrick score of 22 on HRCT imaging.

[0087] Baseline scoring: -2 points for diagnostic classification, 1 point for gender (male), 2 points for age (67 years, >65 years), 2 points for %FVC (45%, <50%), and 2 points for %DLco (30%, ≤35%). The baseline score is -2 + 1 + 2 + 2 + 2 = 5 points.

[0088] Warrick's score is 22 points, which is greater than or equal to 14 points, with an additional 3 points.

[0089] The overall score is 5 + 3 = 8 points. This corresponds to a stage IV risk level. This patient belongs to the higher risk category.

[0090] Example 5: A 70-year-old female patient was diagnosed with idiopathic pulmonary fibrosis (IPF), with a %FVC of 55%, a %DLco of 40%, and a Warrick score of 16 on HRCT imaging.

[0091] This example illustrates that this method is also applicable to interstitial lung disease types other than SSc-ILD. Baseline scoring: Diagnostic type (IPF) 0 points, gender (female) 0 points, age (70 years, >65 years) 2 points, %FVC (55%, 50%–75%) 1 point, %DLco (40%, 36%–55%) 1 point. The baseline score is 0 + 0 + 2 + 1 + 1 = 4 points.

[0092] Warrick's score is 16 points, with a bonus of 3 points for a score of 14 or higher.

[0093] The overall score is 4 + 3 = 7 points. This corresponds to the Stage IV risk level.

[0094] The evaluation system described in this invention can be deployed in various computer environments. Several typical deployment scenarios are listed below: Scenario 1: Hospital Information System Integration. The assessment system described in this invention is integrated as a functional module into the hospital's existing Electronic Medical Record (EMR) system or Clinical Decision Support System (CDSS). The data acquisition module directly obtains pulmonary function test results from the Laboratory Information System (LIS) and Warrick scores from the Picture Archiving and Communication System (PACS) or radiology workstation via a data interface. The assessment results are automatically written into the patient's electronic medical record for clinicians' reference.

[0095] Scenario 2: Standalone workstation deployment. The assessment system described in this invention is installed as a standalone application on a departmental workstation or personal computer. Physicians manually enter the patient's baseline data and Warrick score through a graphical input interface. The system automatically completes the score calculation and risk stratification, and displays the assessment results on the screen.

[0096] Scenario 3: Mobile Terminal Application. The assessment system described in this invention can be developed into a mobile application (APP) and deployed on tablets or smartphones. Physicians can use the mobile terminal to quickly input data and obtain assessment results during ward rounds or outpatient visits, improving work efficiency.

[0097] Scenario 4: Web Service Deployment. The assessment system described in this invention is deployed on a server and provided as a web application or API service. Terminal devices in various clinical departments access this service via the network, submit data, and obtain assessment results. This deployment method facilitates shared use and centralized management and maintenance across multiple departments.

[0098] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A computer-based method for processing data related to prognostic risk assessment of systemic sclerosis-associated interstitial lung disease, characterized in that, Includes the following steps: S1. Obtain baseline data of the subject to be evaluated, including interstitial lung disease diagnostic classification information, gender information, age information, forced vital capacity as a percentage of predicted value, and carbon monoxide diffusion as a percentage of predicted value; S2. Obtain the Warrick score corresponding to the high-resolution computed tomography image of the chest of the subject to be evaluated. S3. According to the preset basic scoring rules, assign scores to each parameter of the baseline data in step S1, and add up the scores of each parameter to obtain the basic score; S4. Compare the Warrick score obtained in step S2 with the preset image threshold. When the Warrick score is greater than or equal to the image threshold, a preset additional score is assigned; When the Warrick score is less than the image threshold, the additional score is zero; S5. Add the basic score to the additional score to obtain the comprehensive score; S6. According to the preset stratification rules, map the comprehensive score to the corresponding risk level and output the risk assessment result.

2. The data processing method according to claim 1, characterized in that, The preset basic scoring rules mentioned in step S3 include: The scoring for the diagnosis and classification of interstitial lung disease is as follows: 0 points for idiopathic pulmonary fibrosis or unclassified interstitial lung disease, and -2 points for connective tissue disease-associated interstitial pneumonia, idiopathic nonspecific interstitial pneumonia, or chronic allergic pneumonia. Assigning points based on gender: males are assigned 1 point, and females are assigned 0 points; Age is assigned a score: 0 points for those 60 years of age or younger, 1 point for those 61 to 65 years of age, and 2 points for those 65 years of age or older. The forced vital capacity is scored as a percentage of the predicted value: 0 points for greater than 75%, 1 point for 50% to 75%, and 2 points for less than 50%. The percentage of carbon monoxide dispersion relative to the predicted value is scored as follows: 0 points for greater than 55%, 1 point for 36% to 55%, 2 points for less than or equal to 35%, and 3 points for when it cannot be tested.

3. The data processing method according to claim 1, characterized in that, The image threshold in step S4 is 14 points, and the preset additional score is 3 points.

4. The data processing method according to claim 1, characterized in that, The preset layering rules mentioned in step S6 include: When the comprehensive score is less than or equal to 1 point, it is mapped to the Phase I risk level; When the comprehensive score is between 2 and 3, it is mapped to the Phase II risk level; When the comprehensive score is between 4 and 5, it is mapped to the Phase III risk level; When the overall score is greater than 5, it is mapped to the Stage IV risk level.

5. The data processing method according to claim 1, characterized in that, The method for obtaining the Warrick rating value in step S2 is as follows: Based on high-resolution computed tomography images of the chest, severity and extent were scored respectively. The severity score is assigned based on the type of abnormality appearing in the images: ground-glass opacity is assigned 1 point, irregular pleural margin is assigned 2 points, septal line or subpleural line is assigned 3 points, honeycomb-like changes are assigned 4 points, and subpleural cysts are assigned 5 points; the scores of each type of abnormality are added together to obtain the severity score, with a maximum of 15 points. The range score is assigned based on the number of affected lung segments, ranging from 0 to 15 points; The severity score is added to the range score to obtain the Warrick score, which ranges from 0 to 30.

6. The data processing method according to any one of claims 1 to 5, characterized in that, The method further includes storing the comprehensive score, the risk level and the corresponding assessment information, and displaying them to the user through a display interface.

7. A prognostic risk assessment system for systemic sclerosis-related interstitial lung disease, characterized in that, include: The data acquisition module is used to acquire the baseline data and Warrick score corresponding to the high-resolution computed tomography images of the chest of the subject to be evaluated. The baseline data includes interstitial lung disease diagnostic classification information, gender information, age information, forced vital capacity as a percentage of the predicted value, and carbon monoxide diffusion as a percentage of the predicted value. The basic scoring module is used to assign scores to each parameter in the baseline data according to the preset basic scoring rules, and to add up the scores of each parameter to obtain the basic score; The image scoring module is used to compare the Warrick score with a preset image threshold. When the Warrick score is greater than or equal to the image threshold, a preset additional score is output. When the Warrick score is less than the image threshold, a zero value is output. The comprehensive scoring module is used to add the basic score and the additional score to obtain the comprehensive score; The risk stratification module is used to map the comprehensive score to the corresponding risk level according to the preset stratification rules and output the risk assessment result.

8. The evaluation system according to claim 7, characterized in that, The preset basic scoring rules in the basic scoring module include: Scoring for interstitial lung disease diagnosis: 0 points for idiopathic pulmonary fibrosis or unclassified interstitial lung disease; -2 points for connective tissue disease-associated interstitial pneumonia, idiopathic nonspecific interstitial pneumonia, or chronic allergic pneumonia; Scoring for gender: 1 point for males, 0 points for females; Scoring for age: 0 points for those 60 years or younger, 1 point for those 61 to 65 years, and 2 points for those over 65 years; Scoring for forced vital capacity as a percentage of predicted value: 0 points for greater than 75%, 1 point for 50% to 75%, and 2 points for less than 50%; Scoring for carbon monoxide diffusing capacity as a percentage of predicted value: 0 points for greater than 55%, 1 point for 36% to 55%, 2 points for less than or equal to 35%, and 3 points for untestable values.

9. The evaluation system according to claim 7, characterized in that, The preset image threshold in the image scoring module is 14 points, and the preset additional score is 3 points.

10. The evaluation system according to claim 7, characterized in that, The system also includes a results display module, which displays the comprehensive score, risk level and corresponding assessment information to the user through a display interface.

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