A comprehensive management system for radiotherapy medical information

Abstract

The present invention discloses a comprehensive management system for radiotherapy medical information, which relates to the field of dose management technology. By introducing the first ratio and the second ratio of the patient, and combining two thresholds, the patient's comprehensive index, lesion volume and treatment cycle length are comprehensively considered to achieve a more accurate and personalized initial dose calculation. The introduction of the first ratio and the second ratio enables the system to more comprehensively evaluate the patient's disease progression and treatment needs, avoiding the problem of inaccurate dose caused by relying only on a single parameter in traditional methods. The construction of the comprehensive index integrates multi-dimensional data such as the patient's pathological characteristics, physiological indicators and historical reactions, and can adjust the treatment plan according to the specific circumstances of each patient. The safety and effectiveness of the dose are further improved. Weighting factors based on physiological characteristic values ​​and physiological characteristic baseline values ​​are introduced, and the dose is adjusted in real time through a closed-loop feedback mechanism to ensure flexibility and safety during the treatment process.

Description

Technical Field

[0001] The present invention relates to the technical field of dose management, and in particular to a radiotherapy medical information integrated management system. Background Art

[0002] With the rapid development of modern medical technology, radiotherapy (RT) has become one of the important means of cancer treatment. Radiotherapy uses high-energy rays or particle beams to destroy the DNA of cancer cells, inhibit their growth and spread, and thus achieve the purpose of treatment. However, the success of radiotherapy depends not only on advanced equipment and technology, but also on the accurate grasp of the individual characteristics of patients and the scientific formulation of treatment plans. Therefore, radiotherapy medical information management plays a vital role in the radiotherapy process. The radiotherapy medical information management system mainly includes patient data collection and storage, data preprocessing and standardization, multimodal data fusion, data analysis and modeling, real-time monitoring and feedback, risk warning and monitoring. Among them, data analysis and modeling, through statistical analysis or machine learning modeling of a large amount of case data, find the relationship between different patient characteristics and treatment effects, and formulate treatment plans. Therefore, plan formulation is a vital part of radiotherapy medical information management. A scientific and reasonable treatment plan can ensure the maximum effect of radiotherapy, while reducing side effects and protecting the health of patients. Traditional radiotherapy planning mainly relies on the experience and judgment of doctors, but this method has certain limitations and it is difficult to fully consider the individual differences of patients. Therefore, modern radiotherapy medical information management systems have achieved more accurate and personalized planning by introducing intelligent modules.

[0003] Existing methods for calculating radiotherapy doses mainly rely on the doctor's experience and some fixed parameters, such as the maximum diameter of the lesion area and tumor stage. Although these parameters are simple and easy to use, they cannot fully reflect the individual characteristics of the patient, resulting in inaccurate treatment plans. In particular, existing methods ignore important information such as the patient's pathological characteristics, physiological conditions, and historical reactions, making dose calculations too dependent on the doctor's subjective judgment and lacking scientific basis. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive management system for radiotherapy medical information to solve the problem that dose calculation is too dependent on the subjective judgment of doctors and lacks scientific basis.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a radiotherapy medical information comprehensive management system, comprising the following modules:

[0006] Comprehensive index building module: used to collect patients' medical data; build a comprehensive index based on the medical data;

[0007] Three-dimensional reconstruction module: connected to the patient medical data collection module, used to perform three-dimensional reconstruction of the patient's medical data, segment the lesion area in the three-dimensionally reconstructed medical data, and calculate the lesion volume of the segmented lesion area;

[0008] Treatment cycle length acquisition module: connected with the comprehensive index construction module, used to obtain the treatment cycle length of each patient based on the medical data;

[0009] A first threshold value and a second threshold value preset module: connected to the comprehensive index construction module, and used for presetting the first threshold value and the second threshold value according to the patient's medical data;

[0010] Initial dose calculation module: connected with the treatment cycle length acquisition module, the three-dimensional reconstruction module, the comprehensive index construction module, the first threshold value and the second threshold value preset module, and used to calculate the initial dose according to the treatment cycle length, the lesion volume and the comprehensive index;

[0011] Dose optimization module: connected with the initial dose calculation module, used to optimize the initial dose and obtain the optimized dose;

[0012] Planning module: connected with the dose optimization module, used to formulate plans based on the optimized dose.

[0013] Furthermore, the medical data includes pathological data, physiological data, and historical reaction data; key features are obtained from the pathological data, physiological data, and historical reaction data, and a comprehensive index is constructed based on the key features:

[0014] ;

[0015] In the formula, P represents the comprehensive index, represents the i-th key eigenvalue, represents the weight of the i-th key feature, and n represents the total number of key features.

[0016] Furthermore, according to the lesion volume and treatment cycle length of each patient, the first ratio and the second ratio are calculated for each patient, and the first ratio distribution graph and the second ratio distribution graph are drawn respectively, and the first ratio corresponding to the 25th percentile in the first ratio distribution graph is selected as the first threshold, and the second ratio corresponding to the 25th percentile in the second ratio distribution graph is selected as the second threshold.

[0017] Further, the initial dose is:

[0018] ;

[0019] In the formula, D represents the initial dose, P represents the comprehensive index, T represents the length of the treatment cycle, and V represents the lesion volume. represents the first threshold, represents the second threshold, , , Represent the adjustment coefficients respectively.

[0020] Furthermore, the dose optimization module includes the following submodules:

[0021] Weight factor acquisition submodule: used to obtain weight factors;

[0022] Optimization submodule: used to obtain the optimized dose based on the weight factor and initial dose.

[0023] Furthermore, the weight factor acquisition submodule includes the following units:

[0024] Physiological feature acquisition unit: used for obtaining physiological feature values ​​according to key features;

[0025] Physiological characteristic reference value acquisition unit: used to acquire physiological characteristic reference value;

[0026] Weight factor calculation unit: used to calculate the weight factor according to the physiological characteristic value and the physiological characteristic reference value.

[0027] Furthermore, the weight factor is:

[0028] ;

[0029] In the formula, W represents the weight factor, C represents the physiological characteristic value, Represents the baseline value of physiological characteristics, Represents the adjustment factor.

[0030] Further, the optimized dosage is:

[0031] ;

[0032] Where DD represents the optimized dose, D represents the initial dose, and W represents the weight factor.

[0033] Furthermore, the first ratio is: the ratio of the treatment cycle length to the lesion volume.

[0034] Furthermore, the second ratio is: the ratio of the lesion volume to the treatment cycle length.

[0035] Technical effects and advantages of the present invention:

[0036] The present invention introduces the first ratio and the second ratio of the patient, and combines two thresholds to comprehensively consider the patient's comprehensive index, lesion volume and treatment cycle length, thereby realizing a more accurate and personalized initial dose calculation. First, the introduction of the first ratio (ratio of treatment cycle length to lesion volume) and the second ratio (ratio of lesion volume to treatment cycle length) enables the system to more comprehensively evaluate the patient's disease progression and treatment needs, avoiding the problem of inaccurate dose caused by relying only on a single parameter in the traditional method. Secondly, the construction of the comprehensive index integrates multi-dimensional data such as the patient's pathological characteristics, physiological indicators and historical reactions, ensuring the scientificity and personalization of the dose calculation, and being able to adjust the treatment plan according to the specific circumstances of each patient. In addition, the present invention further improves the safety and effectiveness of the dose by analyzing a large amount of case data, the first threshold and the second threshold, avoiding the limitations brought by the fixed threshold. More importantly, the present invention introduces a weighting factor based on the physiological characteristic value and the physiological characteristic baseline value, and adjusts the dose in real time through a closed-loop feedback mechanism, ensuring flexibility and safety during the treatment process. This intelligent dose optimization method not only reduces human errors, but also greatly improves the effect of radiotherapy, reduces the incidence of side effects, and significantly improves the patient's treatment experience and quality of life. It has achieved more accurate, safe and personalized radiotherapy plans, which has important clinical application value and broad promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the structure of a radiotherapy medical information comprehensive management system provided in this embodiment. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clarify the technical solutions in the embodiments of the present invention; it is clearly described in detail. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] This application realizes personalized management of the entire process from patient visit data collection, initial dose calculation, dose optimization to treatment plan formulation by constructing a comprehensive radiotherapy medical information integrated management system. The system not only makes precise dose adjustments based on the patient's individual characteristics (such as pathological type, physiological condition, historical response, etc.), but also ensures the high personalization and accuracy of the treatment plan through three-dimensional reconstruction and lesion area segmentation technology. Specifically, the system first obtains the patient's detailed medical history information, including imaging data, pathological reports, physiological indicators and historical treatment records, through the visit data collection module. Then, the three-dimensional reconstruction module accurately reconstructs and segments the lesion area, calculates the lesion volume, and provides accurate anatomical information for subsequent dose calculation. Subsequently, the comprehensive index construction module constructs a comprehensive index based on the patient's multi-source data (such as pathological characteristics, physiological data, historical response, etc.) to quantify the patient's individual characteristics. On this basis, the initial dose calculation module combines the treatment cycle length, lesion volume and comprehensive index to calculate the initial dose. In order to further improve the safety and effectiveness of treatment, the dose optimization module introduces a weight factor to dynamically adjust the initial dose according to the patient's physiological characteristic value and benchmark value to generate an optimized dose. Finally, the planning module develops a detailed treatment plan based on the optimized dose, including treatment cycle arrangement, daily dose distribution, irradiation field design, and treatment equipment selection, and monitors and adjusts the treatment plan in real time during the treatment process. Through this full-process personalized management, the system not only improves the accuracy and safety of treatment, but also significantly improves the treatment effect and quality of life of patients, reduces the occurrence of side effects, and truly realizes patient-centered comprehensive management of radiotherapy medical information.

[0040] Through the collaborative work of the above modules, the radiotherapy medical information comprehensive management system of this application can provide each patient with a highly personalized treatment plan, ensuring that the dose is neither too high nor too low, achieving the best treatment effect and reducing side effects. The system not only improves the doctor's work efficiency, but also enhances the scientificity and operability of the treatment, and ultimately provides patients with safer and more effective radiotherapy treatment. In addition, the intelligent and automated functions of the system reduce human errors, ensure the standardization and consistency of the treatment process, and have important clinical application value and broad promotion prospects.

[0041] like Figure 1 As shown, this embodiment discloses a radiotherapy medical information comprehensive management system, including the following modules:

[0042] Comprehensive index construction module: used to collect patients' medical data; construct a comprehensive index based on the medical data.

[0043] A large amount of patient visit data is collected from the hospital's electronic medical record system (EMR) or radiotherapy planning system (TPS). The visit data is CT scan data, MRI scan data, PET-CT data, specifically: pathological data, physiological data, and historical response data. Pathological data include pathological type, pathological grade, tumor stage, lesion volume, and lesion location. Physiological data include blood routine indicators, liver and kidney function indicators, and cardiopulmonary function indicators. Historical response data include tolerance, severity of side effects, historical dose response, and treatment effect evaluation.

[0044] Obtain key features from pathological data, physiological data, and historical response data. Key features include: pathological type, pathological grade, lesion volume, lesion location, white blood cell count, hemoglobin,

[0045] Alanine aminotransferase, creatinine, heart rate, oxygen saturation, tolerability, and severity of side effects.

[0046] Construct a composite index based on key characteristics:

[0047] ;

[0048] In the formula, P represents the comprehensive index, represents the i-th key eigenvalue, represents the weight of the i-th key feature, and n represents the total number of key features.

[0049] Pathological characteristics (such as lesion volume, pathological type, pathological grade, etc.) usually have a greater impact on dose selection, so they should be given a higher weight. The weight of the lesion volume can be set to 0.3, and the weight of the pathological type and pathological grade can be set to 0.2. Physiological characteristics (such as blood routine, liver and kidney function, cardiopulmonary function, etc.) reflect the overall health of the patient and have an important impact on the safety of the dose, so they should also be given a higher weight. The weight of white blood cell count and hemoglobin can be set to 0.2, and the weight of liver and kidney function indicators can be set to 0.15. Historical response characteristics (such as tolerance and severity of side effects) reflect the patient's individualized response to treatment and have important reference value for dose adjustment, so they should be given appropriate weights. The weight of tolerance and severity of side effects (SES) can be set to 0.15.

[0050] In order to eliminate the dimensional differences between different features, it is recommended to standardize each feature before calculating the composite index.

[0051] In the comprehensive index construction module, the lesion volume is an important parameter used to construct the comprehensive index. This volume value is usually based on preliminary imaging assessments (such as CT, MRI, etc.), which may be estimated through the doctor's experience or simple measurement tools. Therefore, it is a static, preliminary volume estimate, mainly used to quickly assess the patient's condition and formulate a preliminary treatment plan.

[0052] Three-dimensional reconstruction module: connected to the patient medical data collection module, used to perform three-dimensional reconstruction of the patient's medical data, segment the lesion area in the three-dimensionally reconstructed medical data, and calculate the lesion volume of the segmented lesion area.

[0053] The main function of the 3D reconstruction module is to accurately reconstruct the patient's imaging data (such as CT, MRI, etc.), and on this basis, segment the lesion area and calculate a more accurate lesion volume. Different from the preliminary volume estimation in the comprehensive index construction module, the 3D reconstruction module provides dynamic and accurate lesion volume calculation.

[0054] Treatment cycle length acquisition module: connected to the comprehensive index construction module, used to obtain the treatment cycle length of each patient based on the medical data.

[0055] The medical consultation data also includes the patient's treatment data, from which the length of the patient's treatment cycle can be obtained.

[0056] The first threshold value and the second threshold value preset module is connected to the comprehensive index construction module, and is used to preset the first threshold value and the second threshold value according to the patient's medical data.

[0057] According to the lesion volume and treatment cycle length of each patient, the first ratio and the second ratio are calculated for each patient, wherein the first ratio is the ratio of the treatment cycle length to the lesion volume. The second ratio is the ratio of the lesion volume to the treatment cycle length. The horizontal axis represents the first ratio, and the vertical axis represents the number of patients or frequency, and a first ratio distribution graph is drawn. The horizontal axis represents the second ratio, and the vertical axis represents the number of patients or frequency, and a second ratio distribution graph is drawn. In order to ensure that the setting of the threshold is statistically representative, the first ratio corresponding to the 25th percentile in the first ratio distribution graph is selected as the first threshold, and the second ratio corresponding to the 25th percentile in the second ratio distribution graph is selected as the second threshold.

[0058] Initial dose calculation module: connected with the treatment cycle length acquisition module, the three-dimensional reconstruction module, the comprehensive index construction module, the first threshold value and the second threshold value preset module, and used to calculate the initial dose according to the treatment cycle length, the lesion volume and the comprehensive index.

[0059] ;

[0060] In the formula, D represents the initial dose, P represents the comprehensive index, T represents the length of the treatment cycle, and V represents the lesion volume. represents the first threshold, represents the second threshold, , , Represent the adjustment coefficients respectively.

[0061] when hour, , when the ratio of the treatment cycle length to the lesion volume is less than or equal to the first threshold, an exponential function is used to adjust the initial dose. The form of the exponential function ensures that When the dose is below the target value, the dose will be gradually reduced to avoid overtreatment.

[0062] when hour, , when the ratio of the lesion volume to the treatment cycle length is less than or equal to the second threshold, a logarithmic function is used to adjust the initial dose. The form of the logarithmic function ensures that The dose will be gradually increased to ensure adequate coverage of the lesion area.

[0063] when hour, , when the ratio of the treatment cycle length to the lesion volume is greater than or equal to the first threshold, and the ratio of the lesion volume to the treatment cycle length is greater than or equal to the second threshold, a fractional function is used to adjust the initial dose. This form ensures that the initial dose is adjusted at a larger and value, the dosage will gradually stabilize to avoid overdose or underdose.

[0064] Dose optimization module: connected to the initial dose calculation module, used to optimize the initial dose to obtain the optimized dose.

[0065] Dose optimization module, including the following submodules:

[0066] Weight factor acquisition submodule: used to obtain weight factors.

[0067] The weight factor acquisition submodule includes the following units:

[0068] Physiological feature acquisition unit: used to obtain physiological feature values ​​according to key features.

[0069] The physiological feature values ​​are obtained from the key features.

[0070] Physiological characteristic reference value acquisition unit: used to obtain physiological characteristic reference values.

[0071] The physiological characteristic values ​​of the normal population are taken as the baseline values.

[0072] Weight factor calculation unit: used to calculate the weight factor according to the physiological characteristic value and the physiological characteristic reference value.

[0073] ;

[0074] In the formula, W represents the weight factor, C represents the physiological characteristic value, Represents the baseline value of physiological characteristics, Represents the adjustment factor.

[0075] Optimization submodule: used to obtain the optimized dose based on the weight factor and initial dose.

[0076] ;

[0077] Where DD represents the optimized dose, D represents the initial dose, and W represents the weight factor.

[0078] In this embodiment, by introducing a weight factor to optimize the initial dose, the personalization and safety of radiotherapy can be significantly improved, ensuring that the dose is neither too high nor too low, thereby achieving the best treatment effect and reducing side effects. Specifically, the weight factor is calculated based on the difference between the patient's physiological characteristic value and the benchmark value, reflecting the degree of deviation of the patient's current physical condition from the normal range. When certain physiological indicators of the patient (such as white blood cell count, hemoglobin, liver and kidney function, etc.) are lower or higher than the normal range, the weight factor will adjust the initial dose accordingly. For example, if the patient's white blood cell count is low, it indicates that his immune system is weak and susceptible to radiation. At this time, the weight factor will reduce the initial dose to avoid immunosuppression or other complications caused by overtreatment; on the contrary, if the patient's physiological condition is good, the weight factor is close to 1, indicating that the initial dose can be used for treatment. In addition, the weight factor can also dynamically adapt to the patient's physical changes during the treatment process to ensure that the dose of each radiotherapy is in the most appropriate state. In this way, the dose optimization module not only improves the accuracy of the treatment, but also enhances the patient's tolerance and the safety of the treatment, and ultimately improves the overall treatment effect and quality of life.

[0079] Planning module: connected with the dose optimization module, used to formulate plans based on the optimized dose.

[0080] The main task of the planning module is to convert the optimized dose into specific treatment steps and schedules to ensure that the treatment process of each patient is carried out in an orderly manner and maximize the treatment effect. This module not only takes into account the optimization of the dose, but also combines factors such as the location of the patient's lesion area, the characteristics of the treatment equipment, and the doctor's experience to generate a complete treatment plan. This plan usually includes: treatment cycle arrangement, daily dose allocation, irradiation field design, treatment equipment selection, treatment verification and adjustment.

[0081] For example, for a lung cancer patient, the optimized dose DD=4.965Gy calculated by the dose optimization module is obtained. The following is a detailed treatment plan for the patient:

[0082] Total treatment period: 7 weeks, 35 treatments in total (once a day, 5 days a week).

[0083] Daily dose: The dose for each treatment is 0.142 Gy.

[0084] Irradiation field design: Based on the results of three-dimensional reconstruction, an irradiation field was designed to cover the lower lobe of the right lung while avoiding critical organs such as the heart and spinal cord. A multi-leaf collimator (MLC) was used to adjust the shape of the irradiation field to ensure uniform dose distribution.

[0085] Treatment equipment selection: Select a linear accelerator (LINAC), set the energy level to 6 MV, and the irradiation angle to anterior-posterior (AP / PA).

[0086] Treatment verification and adjustment: Dose verification is performed before each treatment to ensure that the actual irradiation dose meets the planned requirements. During the treatment, the patient's blood routine, liver and kidney function and other physiological indicators are monitored in real time, and the treatment progress is adjusted when necessary. After the treatment, a comprehensive imaging examination and efficacy evaluation are performed.

Claims

1. A radiotherapy medical information integrated management system, characterized in that: Includes the following modules: Comprehensive index building module: used to collect patients' medical data; build a comprehensive index based on the medical data; 3D reconstruction module: used to perform 3D reconstruction on the patient's medical data, segment the lesion area in the 3D reconstructed medical data, and calculate the lesion volume of the segmented lesion area; Treatment cycle length acquisition module: connected with the comprehensive index construction module, used to obtain the treatment cycle length of each patient based on the medical data; A first threshold value and a second threshold value preset module: connected to the comprehensive index construction module, and used for presetting the first threshold value and the second threshold value according to the patient's medical data; Initial dose calculation module: connected with the treatment cycle length acquisition module, the three-dimensional reconstruction module, the comprehensive index construction module, the first threshold value and the second threshold value preset module, and used to calculate the initial dose according to the treatment cycle length, the lesion volume and the comprehensive index; ； In the formula, D represents the initial dose, P represents the comprehensive index, T represents the length of the treatment cycle, and V represents the lesion volume. represents the first threshold, represents the second threshold, , , represent adjustment coefficients respectively; Dose optimization module: connected to the initial dose calculation module, used to optimize the initial dose to obtain an optimized dose; the dose optimization module includes a weight factor acquisition submodule, which is used to obtain a weight factor; The weighting factors are: ； In the formula, W represents the weight factor, C represents the physiological characteristic value, Represents the baseline value of physiological characteristics, represents the adjustment factor; Planning module: connected with the dose optimization module, used to formulate plans based on the optimized dose.

2. A radiotherapy medical information integrated management system according to claim 1, characterized in that: The medical data includes pathological data, physiological data and historical reaction data; key features are obtained from the pathological data, physiological data and historical reaction data, and a comprehensive index is constructed based on the key features: ； In the formula, P represents the comprehensive index, represents the i-th key eigenvalue, represents the weight of the i-th key feature, and n represents the total number of key features.

3. A radiotherapy medical information integrated management system according to claim 1, characterized in that: According to the lesion volume and treatment cycle length of each patient, the first ratio and the second ratio were calculated for each patient, and the first ratio distribution map and the second ratio distribution map were drawn respectively. The first ratio corresponding to the 25th percentile in the first ratio distribution map was selected as the first threshold, and the second ratio corresponding to the 25th percentile in the second ratio distribution map was selected as the second threshold.

4. A radiotherapy medical information integrated management system according to claim 1, characterized in that: The dose optimization module also includes the following submodules: Optimization submodule: used to obtain the optimized dose based on the weight factor and the initial dose.

5. A radiotherapy medical information integrated management system according to claim 4, characterized in that: The weight factor acquisition submodule includes the following units: Physiological characteristic value acquisition unit: used for acquiring physiological characteristic values ​​according to key characteristics; Physiological characteristic reference value acquisition unit: used to acquire physiological characteristic reference value; Weight factor calculation unit: used to calculate the weight factor according to the physiological characteristic value and the physiological characteristic reference value.

6. A radiotherapy medical information integrated management system according to claim 4, characterized in that: The optimized dose is: ； Where DD represents the optimized dose, D represents the initial dose, and W represents the weight factor.

7. The radiotherapy medical information integrated management system according to claim 3, characterized in that: The first ratio is: the ratio of the treatment cycle length to the lesion volume.

8. The radiotherapy medical information integrated management system according to claim 3, characterized in that: The second ratio is the ratio of the lesion volume to the treatment cycle length.

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