Radiotherapy monitoring management system and method based on cloud computing

Abstract

The present invention discloses a radiotherapy monitoring management system and method based on cloud computing, and belongs to the field of medical informatics technology. The method includes: a standard data acquisition module, which is used to acquire data processing standard data and radiotherapy standard data; an actual data acquisition module, which is used to acquire data processing actual data and radiotherapy actual data; a data processing capability index acquisition module, which is used to acquire data processing capability index; a radiotherapy accuracy index acquisition module, which is used to acquire radiotherapy accuracy index; a radiotherapy monitoring management system performance index acquisition module, which is used to acquire radiotherapy monitoring management system performance index; and an analysis module, which is used to analyze the performance of the radiotherapy monitoring management system based on cloud computing according to the radiotherapy monitoring management system performance index. The present invention achieves the effect of improving data processing capability and improving radiotherapy accuracy by evaluating and improving the radiotherapy monitoring management system, and solves the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of medical informatics, and in particular to a radiotherapy monitoring management system and method based on cloud computing. Background Art

[0002] With the continuous development and progress of medical information technology, treatment methods are also constantly improving. Radiotherapy is the main method to cure tumors. The development of radiotherapy technology is of great significance to people all over the world. However, radiotherapy methods also have certain hazards to the human body. Monitoring and management of the radiotherapy process is also a very important technology. More accurate and effective monitoring and management of the radiotherapy process will help to obtain more accurate radiotherapy effects, which is of great significance to protecting the health of patients.

[0003] The existing radiotherapy monitoring and management system obtains the patient's historical radiotherapy data and new radiotherapy data, pre-processes the historical radiotherapy data and the new radiotherapy data, trains the pre-processed historical radiotherapy data to obtain a prediction model, and applies the new radiotherapy data to the prediction model to obtain a suitable adaptive radiotherapy strategy, thereby realizing the monitoring and management of the radiotherapy process.

[0004] For example, the patent application with publication number: CN114707742A discloses an artificial intelligence prediction method and system for adaptive radiotherapy strategies, which includes: obtaining the patient's radiotherapy data, the radiotherapy data including historical radiotherapy data and new radiotherapy data, the historical radiotherapy data including historical radiotherapy image data and historically selected adaptive radiotherapy strategy data, and may also include historical radiotherapy plan data, the new radiotherapy data including new radiotherapy image data, and may also include new radiotherapy plan data; preprocessing the radiotherapy data through a preprocessing process to obtain preprocessed historical radiotherapy data and preprocessed new radiotherapy data; using the preprocessed historical radiotherapy data to establish and train a prediction model, and applying the preprocessed new radiotherapy data to the prediction model; and outputting an adaptive radiotherapy strategy suitable for new radiotherapy.

[0005] For example, a patent application with publication number: CN114925904A discloses a method for predicting the gamma pass rate of a spiral tomography radiotherapy plan, including: establishing a tumor patient plan information database, data preprocessing, label data stripping, data normalization, feature selection, segmentation of training sets and test sets, regression model establishment, model training and regression model evaluation.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, since radiotherapy data is huge and the processing process is complicated, high data processing capabilities are required. In addition, the prior art only judges the accuracy of radiotherapy based on whether the patient's positioning is accurate. There is a problem of low radiotherapy accuracy due to limited data processing capabilities. Summary of the invention

[0008] The embodiments of the present application solve the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art by providing a radiotherapy monitoring management system and method based on cloud computing, thereby improving data processing capability and enhancing radiotherapy accuracy.

[0009] The embodiments of the present application provide a radiotherapy monitoring and management system and method based on cloud computing, including: a standard data acquisition module, an actual data acquisition module, a data processing capability index acquisition module, a radiotherapy accuracy index acquisition module, a radiotherapy monitoring and management system performance index acquisition module and an analysis module; wherein the standard data acquisition module is used to acquire data processing standard data and radiotherapy standard data; the actual data acquisition module is used to acquire data processing actual data and radiotherapy actual data; the data processing capability index acquisition module is used to obtain data processing capability indicators based on data processing standard data and data processing actual data; the radiotherapy accuracy index acquisition module is used to obtain radiotherapy accuracy indicators based on radiotherapy standard data and radiotherapy actual data; the radiotherapy monitoring and management system performance index acquisition module is used to obtain radiotherapy monitoring and management system performance indicators based on data processing capability indicators and radiotherapy accuracy indicators; the analysis module is used to analyze the performance of the radiotherapy monitoring and management system based on cloud computing according to the radiotherapy monitoring and management system performance indicators.

[0010] Furthermore, the data processing standard data includes data throughput standard data, response time standard data, concurrent processing capability standard data and data storage capacity standard data; the radiotherapy standard data includes target delineation area standard data, target dose standard data and critical organ dose standard data.

[0011] Furthermore, the actual data of data processing includes actual data of data throughput, actual data of response time, actual data of concurrent processing capability and actual data of data storage capacity; the actual data of radiotherapy includes actual data of target area delineation, actual data of target dose, actual data of critical organ dose and actual data of positioning error.

[0012] Furthermore, the specific method for obtaining the data processing capability index is: obtaining the weight ratio of preset data throughput actual data, response time actual data, concurrent processing capability actual data and data storage capacity actual data in the data processing capability index from the database; constructing a data processing capability index calculation formula; the specific data processing capability index calculation formula is:

[0013] ;

[0014] In the formula, Expressed as a data processing capability indicator, Expressed as actual data throughput, It is represented as the standard data of data throughput, and t is represented as the actual data of response time. a represents the standard data of response time, b represents the actual data of concurrent processing capability, It is represented by the standard data of concurrent processing capability, and c is represented by the actual data of data storage capacity. Expressed as standard data of data storage capacity, It is expressed as the weight ratio of actual data throughput in the data processing capability index. It is expressed as the weight ratio of the actual response time data in the data processing capability index. It is expressed as the weight ratio of the actual data of concurrent processing capacity in the data processing capacity index. It is expressed as the weight ratio of actual data in data storage capacity to the data processing capacity index, and e is a natural constant.

[0015] Furthermore, the specific analysis process of the data processing capability indicator is as follows: obtaining a data processing capability indicator, the data processing capability indicator reflects the data processing capability of the radiotherapy monitoring and management system based on cloud computing, obtaining a data processing capability indicator threshold, comparing the data processing capability indicator with the data processing capability indicator threshold, when the data processing capability indicator is greater than the data processing capability indicator threshold, it indicates that the data processing capability indicator is within a normal range; when in other situations, it indicates that the data processing capability indicator is within an abnormal range.

[0016] Furthermore, the specific analysis process of the radiotherapy accuracy index is: obtain the radiotherapy accuracy index, which reflects the accuracy of radiotherapy, obtain the first threshold value of the radiotherapy accuracy index and the second threshold value of the radiotherapy accuracy index, compare the radiotherapy accuracy index with the first threshold value of the radiotherapy accuracy index and the second threshold value of the radiotherapy accuracy index, when the radiotherapy accuracy index is less than the first threshold value of the radiotherapy accuracy index and greater than the second threshold value of the radiotherapy accuracy index, it means that the radiotherapy accuracy index is in a normal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is in a passing range; when it is in other situations, it means that the radiotherapy accuracy index is in an abnormal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is in a failing range.

[0017] Furthermore, the specific method for obtaining the performance indicators of the radiotherapy monitoring and management system is as follows: obtaining the weight ratio of the preset data processing capability indicator and the radiotherapy accuracy indicator in the performance indicators of the radiotherapy monitoring and management system from the database; constructing a calculation formula for the performance indicators of the radiotherapy monitoring and management system; the specific calculation formula for the performance indicators of the radiotherapy monitoring and management system is:

[0018] ;

[0019] In the formula, It is expressed as the performance index of radiotherapy monitoring and management system. It is expressed as the maximum limit of the product of the data processing capability index and its weight ratio. Expressed as a data processing capability indicator, It is expressed as the radiotherapy accuracy index in, It is expressed as the weight ratio of the data processing capability index in the performance index of the radiotherapy monitoring and management system. It is expressed as the weight ratio of radiotherapy accuracy index in the performance index of radiotherapy monitoring and management system, and e is a natural constant.

[0020] Furthermore, the specific analysis process of the radiotherapy monitoring and management system performance indicator is: obtaining the radiotherapy monitoring and management system performance indicator, obtaining the first threshold value of the radiotherapy monitoring and management system performance indicator and the second threshold value of the radiotherapy monitoring and management system performance indicator, comparing the radiotherapy monitoring and management system performance indicator with the first threshold value of the radiotherapy monitoring and management system performance indicator and the second threshold value of the radiotherapy monitoring and management system performance indicator; when the radiotherapy monitoring and management system performance indicator is less than the first threshold value of the radiotherapy monitoring and management system performance indicator and greater than the second threshold value of the radiotherapy monitoring and management system performance indicator, it indicates that the radiotherapy monitoring and management system performance indicator is within the normal range, that is, the radiotherapy monitoring and management system performance is within the passing range;

[0021] When in other situations, it means that the performance indicators of the radiotherapy monitoring and management system are in an abnormal range, that is, the performance of the radiotherapy monitoring and management system is in a failing range.

[0022] Furthermore, the specific process of analyzing the performance of the radiotherapy monitoring management system based on cloud computing according to the performance indicators of the radiotherapy monitoring management system is: when the performance indicators of the radiotherapy monitoring management system are within the normal range, it indicates that the radiotherapy monitoring management system is reliable; when the performance indicators of the radiotherapy monitoring management system are within the abnormal range, it indicates that the performance of the radiotherapy monitoring management system is poor, that is, the radiotherapy monitoring management system is unreliable.

[0023] Furthermore, the cloud computing-based radiotherapy monitoring and management method provided in the embodiment of the present application includes: obtaining data processing standard data and radiotherapy standard data; obtaining data processing actual data and radiotherapy actual data; obtaining data processing capability indicators based on data processing standard data and data processing actual data; obtaining radiotherapy accuracy indicators based on radiotherapy standard data and radiotherapy actual data; obtaining radiotherapy monitoring and management system performance indicators based on data processing capability indicators and radiotherapy accuracy indicators; and analyzing the performance of the radiotherapy monitoring and management system based on the radiotherapy monitoring and management system performance indicators.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0025] 1. By acquiring data processing standard data, radiotherapy standard data, data processing actual data and radiotherapy actual data, the data processing capability index and radiotherapy accuracy index can be obtained. The radiotherapy monitoring and management system performance index can be obtained based on the data processing capability index and radiotherapy index. Then, the radiotherapy monitoring and management system performance can be analyzed and feedback can be given based on the radiotherapy monitoring and management system performance index, thereby improving the radiotherapy monitoring and management system, and effectively solving the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art.

[0026] 2. By obtaining the actual data of data throughput, response time, concurrent processing capability and data storage capacity of the radiotherapy monitoring and management system, the data processing capability index is obtained, and the data processing capability of the radiotherapy monitoring and management system is evaluated based on the data processing capability index, thereby achieving feedback on the data processing capability of the radiotherapy monitoring and management system.

[0027] 3. By acquiring the actual data of target delineation area, target dose, critical organ dose and positioning error from the radiotherapy monitoring and management system, the radiotherapy accuracy index is obtained, and the radiotherapy accuracy is evaluated according to the radiotherapy accuracy index, thereby achieving feedback on the radiotherapy accuracy and taking corresponding measures based on the radiotherapy accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A diagram of a radiotherapy monitoring and management system based on cloud computing provided in an embodiment of the present application;

[0029] Figure 2 A performance indicator curve diagram of the radiotherapy monitoring and management system provided in the embodiment of the present application;

[0030] Figure 3 A flow chart of a radiotherapy monitoring and management method based on cloud computing is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0031] The embodiments of the present application solve the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art by providing a radiotherapy monitoring management system and method based on cloud computing. Data processing standard data, radiotherapy standard data, data processing actual data and radiotherapy actual data are obtained to obtain data processing capability indicators and radiotherapy accuracy indicators. Radiotherapy monitoring management system performance indicators can be obtained based on the data processing capability indicators and radiotherapy indicators. The performance of the radiotherapy monitoring management system is then analyzed and fed back based on the radiotherapy monitoring management system performance indicators, thereby improving the radiotherapy monitoring management system and effectively solving the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art.

[0032] The technical solution in the embodiment of the present application is to solve the problem of low radiotherapy accuracy caused by limited data processing capability. The overall idea is as follows:

[0033] By acquiring data processing standard data, radiotherapy standard data, data processing actual data and radiotherapy actual data, data processing capability indicators and radiotherapy accuracy indicators are obtained, and the data processing capability of the radiotherapy monitoring and management system is evaluated according to the data processing capability indicators, and the radiotherapy accuracy is evaluated according to the radiotherapy accuracy indicators. The radiotherapy monitoring and management system performance indicators can be obtained according to the data processing capability indicators and radiotherapy indicators, and then the radiotherapy monitoring and management system performance is analyzed and fed back according to the radiotherapy monitoring and management system performance indicators, which effectively solves the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art, and achieves the effect of improving data processing capability and improving radiotherapy accuracy. In order to better understand the above technical solution, the above technical solution will be described in detail in conjunction with the drawings in the specification and the specific implementation methods.

[0034] like Figure 1 As shown, it is a structural schematic diagram of the radiotherapy monitoring and management system based on cloud computing provided in an embodiment of the present application. The radiotherapy monitoring and management system based on cloud computing provided in an embodiment of the present application includes: a standard data acquisition module, an actual data acquisition module, a data processing capability index acquisition module, a radiotherapy accuracy index acquisition module, a radiotherapy monitoring and management system performance index acquisition module and an analysis module; wherein, the standard data acquisition module is used to acquire data processing standard data and radiotherapy standard data; the actual data acquisition module is used to acquire data processing actual data and radiotherapy actual data; the data processing capability index acquisition module is used to obtain the data processing capability index according to the data processing standard data and the data processing actual data; the radiotherapy accuracy index acquisition module is used to obtain the radiotherapy accuracy index according to the radiotherapy standard data and the radiotherapy actual data; the radiotherapy monitoring and management system performance index acquisition module is used to obtain the radiotherapy monitoring and management system performance index according to the data processing capability index and the radiotherapy accuracy index; the analysis module is used to analyze the performance of the radiotherapy monitoring and management system based on the cloud computing according to the radiotherapy monitoring and management system performance index.

[0035] Furthermore, the data processing standard data include data throughput standard data, response time standard data, concurrent processing capability standard data and data storage capacity standard data; the radiotherapy standard data include target delineation area standard data, target dose standard data and critical organ dose standard data.

[0036] In this embodiment, data processing standard data and radiotherapy standard data are obtained when the radiotherapy monitoring and management system based on the local server is working. In this embodiment, data throughput standard data, response time standard data, concurrent processing capacity standard data and data storage capacity standard data are obtained through performance monitoring tools such as Apache JMeter. It should be noted that the concurrent processing capacity standard data is the query rate per second of the radiotherapy monitoring and management system based on the local server, that is, the number of queries that the radiotherapy monitoring and management system based on the local server can process per second, which can be obtained through performance monitoring tools. Data throughput standard data, response time standard data, concurrent processing capacity standard data and data storage capacity standard data are data obtained by the radiotherapy monitoring and management system based on the local server during radiotherapy. Target delineation area standard data, target dose standard data and critical organ dose standard data are obtained by the medical team according to standard medical medication guidelines.

[0037] Furthermore, the actual data of data processing include actual data of data throughput, actual data of response time, actual data of concurrent processing capability and actual data of data storage capacity; the actual data of radiotherapy include actual data of target delineation area, actual data of target dose, actual data of critical organ dose and actual data of positioning error.

[0038] In this embodiment, the actual data of data processing and the actual data of radiotherapy are obtained when the radiotherapy monitoring and management system based on cloud computing is working. In this embodiment, the actual data of data throughput, the actual data of response time, the actual data of concurrent processing capacity and the actual data of data storage capacity are obtained through performance monitoring tools such as Apache JMeter. It should be noted that the actual data of concurrent processing capacity is the query rate per second of the radiotherapy monitoring and management system based on cloud computing, that is, the number of queries that the radiotherapy monitoring and management system based on cloud computing can process per second, which can be obtained through performance monitoring tools. The actual data of data throughput, the actual data of response time, the actual data of concurrent processing capacity and the actual data of data storage capacity are the data obtained by the radiotherapy monitoring and management system based on cloud computing in the same radiotherapy process as the data processing standard data. The actual data of target area dose and the actual data of critical organ dose are obtained through dose recording equipment, and the actual data of target area delineation area and the actual data of positioning error are obtained through cone beam computed tomography. The position error between the actual position of the patient in the treatment room and the expected position in the treatment plan can be directly obtained through cone beam computed tomography.

[0039] Furthermore, the specific method for obtaining the data processing capability index is: obtaining the weight ratio of the preset data throughput actual data, response time actual data, concurrent processing capability actual data and data storage capacity actual data in the data processing capability index from the database; constructing a data processing capability index calculation formula; the specific data processing capability index calculation formula is:

[0040] ;

[0041] In the formula, Expressed as a data processing capability indicator, Expressed as actual data throughput, It is represented as the standard data of data throughput, and t is represented as the actual data of response time. a represents the standard data of response time, b represents the actual data of concurrent processing capability, It is represented by the standard data of concurrent processing capability, and c is represented by the actual data of data storage capacity. Expressed as standard data of data storage capacity, It is expressed as the weight ratio of actual data throughput in the data processing capability index. It is expressed as the weight ratio of the actual response time data in the data processing capability index. It is expressed as the weight ratio of the actual data of concurrent processing capacity in the data processing capacity index. It is expressed as the weight ratio of actual data in data storage capacity to the data processing capacity index, and e is a natural constant.

[0042] In this embodiment, Represents the ability of radiotherapy monitoring and management system to process data. Represents the amount of data processed per unit time by the radiotherapy detection management system based on cloud computing. represents the amount of data processed per unit time by the radiotherapy monitoring management system based on the local server, and t represents the time required for the radiotherapy detection management system based on cloud computing to complete an operation represents the time required for the radiotherapy monitoring management system based on the local server to complete an operation, and b represents the number of tasks that the radiotherapy detection management system based on cloud computing can handle per unit time while maintaining stable system performance. represents the number of tasks that the radiotherapy monitoring management system based on the local server can handle per unit time while maintaining stable system performance. c represents the amount of data that the radiotherapy monitoring management system based on cloud computing can store. Represents the amount of data that can be stored in the radiotherapy monitoring and management system based on the local server.

[0043] In this embodiment, The preset actual data throughput data impact weight ratio obtained from the preset database is used to represent the numerical value of the impact degree of the actual data throughput data on the data processing capacity indicator. When used, the actual data throughput data impact weight ratio corresponding to the actual data throughput data can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, the actual data throughput data and the weight corresponding to the actual data throughput data in the preset database form a mapping set. After the real-time actual data throughput data is input into the mapping set, the corresponding weight will be obtained. In this example, its value range is . The preset actual response time data impact weight ratio obtained from the preset database is used to represent the numerical value of the impact degree of the actual response time data on the data processing capability index. When used, the actual response time data impact weight ratio corresponding to the actual response time data can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, the actual response time data and the weight corresponding to the actual response time data in the preset database form a mapping set. After the real-time actual response time data is input into the mapping set, the corresponding weight will be obtained. In this example, its value range is . The preset weight ratio of the actual concurrent processing capacity data obtained from the preset database is used to represent the numerical value of the influence of the actual concurrent processing capacity data on the data processing capacity index. When used, the weight ratio of the actual concurrent processing capacity data corresponding to the actual concurrent processing capacity data can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, the actual concurrent processing capacity data and the weight corresponding to the actual concurrent processing capacity data in the preset database form a mapping set. After the real-time actual concurrent processing capacity data is input into the mapping set, the corresponding weight will be obtained. In this example, its value range is . The preset data storage capacity actual data impact weight ratio obtained from the preset database is used to represent the numerical value of the degree of influence of the data storage capacity actual data on the data processing capability index. When in use, the data storage capacity actual data impact weight ratio corresponding to the data storage capacity actual data can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the data storage capacity actual data and the weight corresponding to the data storage capacity actual data in the preset database form a mapping set. After the real-time data storage capacity actual data is input into the mapping set, the corresponding weight will be obtained. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is .

[0044] In this embodiment, the data processing capability of the radiotherapy monitoring and management system is evaluated by comprehensively considering four factors, namely, the actual data of data throughput, the actual data of response time, the actual data of concurrent processing capability and the actual data of data storage capacity. If the actual data of data throughput increases, the actual data of response time will decrease, and the actual data of concurrent processing capability may increase. The size of the actual data of data storage capacity determines the amount of data that can be processed by the radiotherapy monitoring and management system, thereby having a certain impact on the actual data of data throughput and the actual data of concurrent processing capability. This embodiment uses logarithmic operations to smooth the impact of outliers and make the obtained data processing capability indicators more reliable.

[0045] Furthermore, the specific analysis process of the data processing capability indicator is as follows: obtaining the data processing capability indicator, which reflects the data processing capability of the radiotherapy monitoring and management system based on cloud computing, obtaining the data processing capability indicator threshold, and comparing the data processing capability indicator with the data processing capability indicator threshold. When the data processing capability indicator is greater than the data processing capability indicator threshold, it indicates that the data processing capability indicator is within a normal range; when in other situations, it indicates that the data processing capability indicator is within an abnormal range.

[0046] In this embodiment, historical data of parameters related to the data processing capability index are obtained from the database, the historical data of the data processing capability index is obtained according to the above formula, the mean of the historical data of the data processing capability index is calculated, and the mean is multiplied by 0.9 to obtain the data processing capability index threshold. The data processing capability index threshold is .

[0047] In this embodiment, , when the data processing capability index is greater than or equal to the data processing capability index threshold, that is When , it means that the data processing capability index is in the normal range, that is, the data processing capability of the radiotherapy monitoring and management system is in the qualified range, and the data processing capability of the radiotherapy monitoring and management system is qualified; when it is in other situations, that is When , it indicates that the data processing capability indicator is in an abnormal range, that is, the data processing capability of the radiotherapy monitoring and management system is in a failing range. At this time, feedback is given and optimization is performed on the unqualified data processing capability of the radiotherapy monitoring and management system, the server and storage performance of the radiotherapy monitoring and management system are increased, a faster processor is used, and memory is expanded.

[0048] Furthermore, the specific analysis process of the radiotherapy accuracy index is: obtain the radiotherapy accuracy index, the radiotherapy accuracy index reflects the accuracy of radiotherapy, obtain the first threshold of the radiotherapy accuracy index and the second threshold of the radiotherapy accuracy index, compare the radiotherapy accuracy index with the first threshold of the radiotherapy accuracy index and the second threshold of the radiotherapy accuracy index, when the radiotherapy accuracy index is less than the first threshold of the radiotherapy accuracy index and greater than the second threshold of the radiotherapy accuracy index, it means that the radiotherapy accuracy index is in the normal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is in the passing range; when it is in other situations, it means that the radiotherapy accuracy index is in the abnormal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is in the failing range.

[0049] In this embodiment, the weight ratio of preset target delineation area actual data, target dose actual data, critical organ dose actual data and positioning error actual data in the data processing capability index is obtained from the database; a radiotherapy accuracy index calculation formula is constructed; the specific radiotherapy accuracy index calculation formula is:

[0050] ;

[0051] In the formula, It is the radiotherapy accuracy index, b is the actual data of the target area delineation area, It represents the standard data of target area delineation, and v represents the actual data of target dose. It is represented by the target area dose standard data, and w is represented by the actual data of the critical organ dose. It is represented by the standard data of critical organ dose, k is represented by the actual data of positioning error, It is expressed as the weight ratio of the actual data of the target area delineation in the radiotherapy accuracy index. It is expressed as the weight ratio of the actual target dose data in the radiotherapy accuracy index. It is expressed as the weight ratio of the actual data of critical organ dose in the radiotherapy accuracy index. It is expressed as the weight ratio of the actual data of positioning error in the radiotherapy accuracy index.

[0052] In this embodiment, S represents the actual area of ​​the target area. It represents the target area determined by the medical team according to the patient's condition and V represents the radiation dose of the target area. represents the radiation dose of the target area determined by the medical team according to the patient's condition, and w represents the dose of the critical organs around the target area involved in the radiotherapy process. It represents the dose to the critical organs around the target area determined by the medical plan made by the medical team according to the patient's condition during the radiotherapy process. K represents the difference between the actual position of the patient in the treatment room and the expected position in the treatment plan. Represents the allowable difference between the patient's actual position in the treatment room as determined by the medical team's medical plan based on the patient's condition and the patient's intended position in the treatment plan.

[0053] In this embodiment, is the influence weight ratio of the preset target area delineation actual data obtained from the preset database, which is used to represent the influence degree of the target area delineation actual data on the radiotherapy accuracy index. is the influence weight ratio of the preset target area dose actual data obtained from the preset database, which is used to represent the influence degree of the target area dose actual data on the radiotherapy accuracy index. is the preset risk organ dose actual data impact weight ratio obtained from the preset database, which is used to represent the numerical value of the impact of the risk organ dose actual data on the radiotherapy accuracy index. It is the preset weight ratio of actual data of setup error influence obtained from the preset database, which is used to represent the numerical value of the influence degree of actual data of setup error on the radiotherapy accuracy index. When in use, the weight ratio of actual data of target delineation area influence corresponding to actual data of target delineation area, the weight ratio of actual data of target dose influence corresponding to actual data of target dose, the weight ratio of actual data of crisis organ dose influence corresponding to actual data of crisis organ dose and the weight ratio of actual data of setup error influence corresponding to actual data of setup error can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, actual data of target delineation area, actual data of target dose, actual data of crisis organ dose and actual data of setup error form a mapping set with the weights corresponding to actual data of target delineation area, actual data of target dose, actual data of crisis organ dose and actual data of setup error in the preset database. After the real-time actual data of target delineation area, actual data of target dose, actual data of crisis organ dose and actual data of setup error are input into the mapping set, the corresponding weights of actual data of target delineation area, actual data of target dose, actual data of crisis organ dose and actual data of setup error can be obtained. In this example, , , , The value range is .

[0054] In this embodiment, four factors, namely, actual data of target delineation area, actual data of target dose, actual data of critical organ dose and actual data of positioning error, are integrated to comprehensively evaluate the radiotherapy accuracy. The closer the actual data of target delineation area, actual data of target dose and actual data of critical organ dose are to standard data of target delineation area, standard data of target dose and standard data of critical organ dose, the higher the radiotherapy accuracy is, and the smaller the actual data of positioning error is, the better. This embodiment uses the inverse secant function to smooth the influence of outliers, so that the obtained radiotherapy accuracy index is more accurate and reliable.

[0055] In this embodiment, historical data of parameters related to radiotherapy accuracy indicators are obtained from the database, and historical data of radiotherapy accuracy indicators are obtained according to the above formula. The historical data of radiotherapy accuracy indicators are averaged, and the average is multiplied by 1.1 to obtain the first threshold value of radiotherapy accuracy indicators. The first threshold value of radiotherapy accuracy indicators is , multiply the mean by 0.9 to obtain the second threshold of radiotherapy accuracy index. The second threshold of radiotherapy accuracy index is .

[0056] In this embodiment, , , when the radiotherapy accuracy index is less than the first threshold of the radiotherapy accuracy index and greater than the second threshold of the radiotherapy accuracy index, that is, , indicating that the radiotherapy accuracy index is within the normal range, that is, the radiotherapy accuracy is within the qualified range, and radiotherapy can be continued at this time; when it is in other situations, that is, or , it means that the radiotherapy accuracy index is in the abnormal range, that is, the radiotherapy accuracy is in the unqualified range. At this time, the system feedbacks that the radiotherapy accuracy is unqualified and immediately stops the radiotherapy and re-formulates the radiotherapy plan.

[0057] Furthermore, the specific method for obtaining the performance indicators of the radiotherapy monitoring and management system is as follows: obtaining the weight ratio of the preset data processing capability indicator and the radiotherapy accuracy indicator in the performance indicators of the radiotherapy monitoring and management system from the database; constructing a calculation formula for the performance indicators of the radiotherapy monitoring and management system; the specific calculation formula for the performance indicators of the radiotherapy monitoring and management system is:

[0058] ;

[0059] In the formula, It is expressed as the performance index of radiotherapy monitoring and management system. It is expressed as the maximum limit of the product of the data processing capability index and its weight ratio. Expressed as a data processing capability indicator, It is expressed as the radiotherapy accuracy index in, It is expressed as the weight ratio of the data processing capability index in the performance index of the radiotherapy monitoring and management system. It is expressed as the weight ratio of radiotherapy accuracy index in the performance index of radiotherapy monitoring and management system, and e is a natural constant.

[0060] In this embodiment, It is expressed as the maximum limit of the product of the data processing capability index and its weight ratio, obtained from the database. is the influence weight ratio of the preset data processing capability index obtained from the preset database, which is used to represent the influence degree of the data processing capability index on the performance index of the radiotherapy monitoring and management system. It is the preset radiotherapy accuracy indicator influence weight ratio obtained from the preset database, which is used to represent the numerical value of the influence degree of the radiotherapy accuracy indicator on the performance indicators of the radiotherapy monitoring and management system. When in use, the data processing capability indicator influence weight ratio corresponding to the data processing capability indicator and the radiotherapy accuracy indicator influence weight ratio corresponding to the radiotherapy accuracy indicator can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the data processing capability indicator and the radiotherapy accuracy indicator form a mapping set with the weights corresponding to the data processing capability indicator and the radiotherapy accuracy indicator in the preset database. After the real-time data processing capability indicator and the radiotherapy accuracy indicator are input into the mapping set, the corresponding data processing capability indicator and the radiotherapy accuracy indicator weights will be obtained. In this example and The value range is .

[0061] In this embodiment, the data processing capability index and the radiotherapy accuracy index are combined to detect and manage the entire radiotherapy process. The closer the ratio is to 1, the closer the radiotherapy accuracy index is to 1, and the better the performance of the radiotherapy monitoring and management system. The higher the data processing capability is, the more conducive to the improvement of the radiotherapy accuracy index. This embodiment uses a hyperbolic function to improve the stability of the data, smooth the impact of outliers, and make the obtained radiotherapy monitoring and management system performance indicators more explanatory and effective.

[0062] like Figure 2 As shown, it is a performance index curve diagram of the radiotherapy monitoring and management system provided by the embodiment of the present application, with the data processing capability index as the independent variable and the radiotherapy monitoring and management system performance index as the dependent variable. Through the increase and decrease analysis of curves 1, 2 and 3, it can be seen that when the data processing capability index is larger, the performance index of the radiotherapy monitoring and management system is larger; when the data processing capability index is smaller, the performance index of the radiotherapy monitoring and management system is smaller. The statistical table of relevant data of the radiotherapy monitoring and management system performance index is shown in Table 1:

[0063] Table 1 Statistics of performance indicators of radiotherapy monitoring and management system

[0064]

[0065] It can be seen from Table 1 that for curve 1, curve 2 and curve 3, when the data processing capability index of curve 1, curve 2 and curve 3 is 1.00, when the radiotherapy accuracy index of curve 1, curve 2 and curve 3 is 0.80, 1.00 and 1.20 respectively, and other parameters are consistent, the performance indicators of the radiotherapy monitoring and management system of curve 1, curve 2 and curve 3 are 0.55, 0.57 and 0.62 respectively. It can be seen that when the data processing capability index is consistent with other parameters, the larger the radiotherapy accuracy index, the larger the performance index of the radiotherapy monitoring and management system.

[0066] Furthermore, the specific analysis process of the radiotherapy monitoring and management system performance indicators is: obtain the radiotherapy monitoring and management system performance indicators, obtain the first threshold value and the second threshold value of the radiotherapy monitoring and management system performance indicators, compare the radiotherapy monitoring and management system performance indicators with the first threshold value and the second threshold value of the radiotherapy monitoring and management system performance indicators, when the radiotherapy monitoring and management system performance indicators are less than the first threshold value and greater than the second threshold value, it indicates that the radiotherapy monitoring and management system performance indicators are in the normal range, that is, the radiotherapy monitoring and management system performance is in the passing range; when in other situations, it indicates that the radiotherapy monitoring and management system performance indicators are in the abnormal range, that is, the radiotherapy monitoring and management system performance is in the failing range.

[0067] In this embodiment, historical data of parameters related to the performance indicators of the radiotherapy monitoring and management system are obtained from the database, and the historical data of the performance indicators of the radiotherapy monitoring and management system are obtained according to the above formula. The historical data of the performance indicators of the radiotherapy monitoring and management system are averaged, and the average is multiplied by 1.1 to obtain the first threshold value of the performance indicators of the radiotherapy monitoring and management system. The first threshold value of the performance indicators of the radiotherapy monitoring and management system is , multiply the mean by 0.9 to get the second threshold of the performance index of the radiotherapy monitoring and management system. The second threshold of the performance index of the radiotherapy monitoring and management system is .

[0068] In this embodiment, , , when the radiotherapy monitoring management system performance index is less than the first threshold of the radiotherapy monitoring management system performance index and greater than the second threshold of the radiotherapy monitoring management system performance index, that is, , indicating that the performance indicators of the radiotherapy monitoring and management system are within the normal range, that is, the performance of the radiotherapy monitoring and management system is within the qualified range. At this time, the feedback radiotherapy monitoring and management system performance is good; when in other situations, that is or When , it indicates that the performance indicators of the radiotherapy monitoring and management system are in an abnormal range, that is, the performance of the radiotherapy monitoring and management system is in an unqualified range. At this time, it is fed back that the performance of the radiotherapy monitoring and management system is poor.

[0069] Furthermore, the specific process of analyzing the performance of the radiotherapy monitoring management system based on cloud computing according to the performance indicators of the radiotherapy monitoring management system is: when the performance indicators of the radiotherapy monitoring management system are within the normal range, it indicates that the radiotherapy monitoring management system is reliable; when the performance indicators of the radiotherapy monitoring management system are within the abnormal range, it indicates that the performance of the radiotherapy monitoring management system is poor, that is, the radiotherapy monitoring management system is unreliable.

[0070] In this embodiment, when the performance indicator of the radiotherapy monitoring and management system is within the normal range, the radiotherapy monitoring and management system feedbacks that the system performance is good; when the performance indicator of the radiotherapy monitoring and management system is within the abnormal range, the radiotherapy monitoring and management system feedbacks that the system performance is poor. In this way, the performance of the radiotherapy monitoring and management system is improved, and the data processing capability and radiotherapy accuracy of the system are improved. The performance of the radiotherapy monitoring and management system can be improved by upgrading the hardware facilities of the radiotherapy monitoring and management system (such as using more efficient servers or increasing storage capacity), upgrading the protection measures for critical organs, and reducing critical organ agents.

[0071] Furthermore, the cloud computing-based radiotherapy monitoring and management method provided in the embodiment of the present application includes: obtaining data processing standard data and radiotherapy standard data; obtaining data processing actual data and radiotherapy actual data; obtaining data processing capability indicators based on data processing standard data and data processing actual data; obtaining radiotherapy accuracy indicators based on radiotherapy standard data and radiotherapy actual data; obtaining radiotherapy monitoring and management system performance indicators based on data processing capability indicators and radiotherapy accuracy indicators; and analyzing the performance of the radiotherapy monitoring and management system based on the radiotherapy monitoring and management system performance indicators.

[0072] In this embodiment, in the same time period, the radiotherapy monitoring management system based on the local server and the radiotherapy monitoring management system based on cloud computing are used simultaneously to monitor the same radiotherapy process and process the data, that is, to obtain standard data and actual data. Among them, the data obtained by the radiotherapy monitoring management system based on the local server is the standard data, and the data obtained by the radiotherapy monitoring management system based on cloud computing is the actual data.

[0073] In summary, the embodiments of the present application obtain data processing standard data, radiotherapy standard data, data processing actual data and radiotherapy actual data to obtain data processing capability indicators and radiotherapy accuracy indicators. According to the data processing capability indicators and radiotherapy indicators, the radiotherapy monitoring and management system performance indicators can be obtained. Then, according to the radiotherapy monitoring and management system performance indicators, the performance of the radiotherapy monitoring and management system is analyzed and feedback is given, thereby improving the radiotherapy monitoring and management system, and effectively solving the problem of low radiotherapy accuracy caused by limited data processing capability in the prior art.

[0074] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Radiotherapy monitoring and management system based on cloud computing, characterized in that: include: Standard data acquisition module, actual data acquisition module, data processing capability index acquisition module, radiotherapy accuracy index acquisition module, radiotherapy monitoring and management system performance index acquisition module and analysis module; Wherein, the standard data acquisition module is used to acquire data processing standard data and radiotherapy standard data; The actual data acquisition module is used to acquire actual data for data processing and actual data for radiotherapy; The data processing capability indicator acquisition module is used to obtain the data processing capability indicator according to the data processing standard data and the data processing actual data; The radiotherapy accuracy index acquisition module is used to obtain the radiotherapy accuracy index according to the radiotherapy standard data and the radiotherapy actual data; The radiotherapy monitoring and management system performance indicator acquisition module is used to obtain the radiotherapy monitoring and management system performance indicator according to the data processing capability indicator and the radiotherapy accuracy indicator; The analysis module is used to analyze the performance of the radiotherapy monitoring and management system based on cloud computing according to the performance indicators of the radiotherapy monitoring and management system; The specific method for obtaining the performance indicators of the radiotherapy monitoring and management system is as follows: Obtaining from the database the weight ratio of the preset data processing capability index and radiotherapy accuracy index in the performance index of the radiotherapy monitoring and management system; Construct the performance indicator calculation formula of radiotherapy monitoring and management system; The specific calculation formula for the performance indicators of the radiotherapy monitoring and management system is: ； In the formula, It is expressed as the performance index of radiotherapy monitoring and management system. It is expressed as the maximum limit of the product of the data processing capability index and its weight ratio. Expressed as a data processing capability indicator, Expressed as a radiotherapy accuracy index, It is expressed as the weight ratio of the data processing capability index in the performance index of the radiotherapy monitoring and management system. It is expressed as the weight ratio of radiotherapy accuracy index in the performance index of radiotherapy monitoring and management system. is a natural constant.

2. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The data processing standard data includes data throughput standard data, response time standard data, concurrent processing capability standard data and data storage capacity standard data; The radiotherapy standard data include target delineation area standard data, target dose standard data, and critical organ dose standard data.

3. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The data processing actual data includes data throughput actual data, response time actual data, concurrent processing capability actual data and data storage capacity actual data; The actual radiotherapy data includes actual data of target area delineation, actual data of target dose, actual data of critical organ dose and actual data of positioning error.

4. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The specific method for obtaining the data processing capability indicator is: Obtain from the database the weight ratio of preset data throughput actual data, response time actual data, concurrent processing capability actual data and data storage capacity actual data in the data processing capability index; Construct the calculation formula of data processing capability index; The specific data processing capability index calculation formula is: ； In the formula, Expressed as a data processing capability indicator, Expressed as actual data throughput, Expressed as data throughput standard data, Expressed as actual data of response time, Expressed as response time standard data, Expressed as actual data of concurrent processing capability, Expressed as concurrent processing capability standard data, Expressed as actual data storage capacity, Expressed as standard data of data storage capacity, It is expressed as the weight ratio of actual data throughput in the data processing capability index. It is expressed as the weight ratio of the actual response time data in the data processing capability index. It is expressed as the weight ratio of the actual data of concurrent processing capacity in the data processing capacity index. It is expressed as the weight ratio of the actual data of data storage capacity in the data processing capacity index. is a natural constant.

5. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 4, characterized in that: The specific analysis process of the data processing capability indicator is as follows: Obtaining a data processing capability indicator, wherein the data processing capability indicator reflects the data processing capability of the radiotherapy monitoring and management system based on cloud computing, obtaining a data processing capability indicator threshold, and comparing the data processing capability indicator with the data processing capability indicator threshold. When the data processing capability indicator is greater than the data processing capability indicator threshold, it indicates that the data processing capability indicator is within a normal range; In other cases, it means that the data processing capability indicator is in an abnormal range.

6. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The specific analysis process of the radiotherapy accuracy index is as follows: Obtain a radiotherapy accuracy index, the radiotherapy accuracy index reflects the accuracy of radiotherapy, obtain a first threshold value of the radiotherapy accuracy index and a second threshold value of the radiotherapy accuracy index, compare the radiotherapy accuracy index with the first threshold value of the radiotherapy accuracy index and the second threshold value of the radiotherapy accuracy index, when the radiotherapy accuracy index is less than the first threshold value of the radiotherapy accuracy index and greater than the second threshold value of the radiotherapy accuracy index, it indicates that the radiotherapy accuracy index is within a normal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is within a passing range; When in other situations, it means that the radiotherapy accuracy index is in an abnormal range, that is, the radiotherapy accuracy of the radiotherapy monitoring and management system is in a failing range.

7. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The specific analysis process of the radiotherapy monitoring and management system performance indicator is as follows: obtaining the radiotherapy monitoring and management system performance indicator, obtaining the first threshold value of the radiotherapy monitoring and management system performance indicator and the second threshold value of the radiotherapy monitoring and management system performance indicator, comparing the radiotherapy monitoring and management system performance indicator with the first threshold value of the radiotherapy monitoring and management system performance indicator and the second threshold value of the radiotherapy monitoring and management system performance indicator; when the radiotherapy monitoring and management system performance indicator is less than the first threshold value of the radiotherapy monitoring and management system performance indicator and greater than the second threshold value of the radiotherapy monitoring and management system performance indicator, it indicates that the radiotherapy monitoring and management system performance indicator is within the normal range, that is, the radiotherapy monitoring and management system performance is within the passing range; When in other situations, it means that the performance indicators of the radiotherapy monitoring and management system are in an abnormal range, that is, the performance of the radiotherapy monitoring and management system is in a failing range.

8. The radiotherapy monitoring and management system based on cloud computing as claimed in claim 1, characterized in that: The specific process of analyzing the performance of the radiotherapy monitoring management system based on cloud computing according to the performance indicators of the radiotherapy monitoring management system is as follows: when the performance indicators of the radiotherapy monitoring management system are within the normal range, it indicates that the radiotherapy monitoring management system is reliable; when the performance indicators of the radiotherapy monitoring management system are within the abnormal range, it indicates that the performance of the radiotherapy monitoring management system is poor, that is, the radiotherapy monitoring management system is unreliable.

9. The method for radiotherapy monitoring and management system based on cloud computing applied to any one of claims 1-8, characterized in that: The following steps are involved: Acquire data processing standard data and radiotherapy standard data; Acquire actual data of data processing and actual data of radiotherapy; Obtain data processing capability indicators based on data processing standard data and data processing actual data; Obtain radiotherapy accuracy indicators based on radiotherapy standard data and actual radiotherapy data; Obtain the performance index of radiotherapy monitoring and management system according to the data processing capability index and radiotherapy accuracy index; Analyze the performance of radiotherapy monitoring and management system according to its performance indicators.

Images