Intelligent medical management method and system based on malignant tumor radiotherapy

Abstract

The invention discloses an intelligent medical management method and system based on malignant tumor radiotherapy. The method comprises the following steps: acquiring holographic image data corresponding to clinical image data of a patient; inputting the holographic image data into a trained deep learning model to identify a malignant tumor target region and attributes thereof; calculating the dose of radioactive particles based on the malignant tumor target region and the attributes thereof; generating a 3D printing instruction according to the malignant tumor target region; obtaining dose distribution monitoring data of radioactive particles in the treatment area; analyzing the uniformity of radioactive particles according to the dose distribution monitoring data; and according to the malignant tumor target region, the attributes and the uniformity of the radioactive particles, generating a treatment scheme and performing treatment risk assessment. Effective connection of all links can be achieved, the treatment time of a patient is shortened, and the treatment effect is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of malignant tumor radiotherapy management systems, and in particular relates to an intelligent medical management method and system based on malignant tumor radiotherapy. Background Art

[0002] In recent years, the incidence of tumors has increased year by year, and malignant tumors have become the leading cause of death in humans. Malignant tumors not only harm patients and families, but also have a profound impact on the entire society. More than 70% of patients with malignant tumors need radiotherapy. Radiotherapy kills cancer cells through radiation exposure. It has a wide range of applications and relatively few adverse reactions. It is one of the mainstream methods for treating tumors. Radiotherapy is highly professional and has a complex process. A large amount of documents and data will be generated during the treatment process. It is urgently needed to intervene with information technology to achieve efficient management of the treatment process.

[0003] Radiotherapy for malignant tumors involves many aspects, such as clinical data collection, diagnostic systems, 3D printing, etc. However, the existing links are isolated from each other, and the connection between the processes is slow, which affects the treatment effect of patients. Summary of the invention

[0004] In order to solve the existing problems, the present invention proposes an intelligent medical management method and system based on radiotherapy for malignant tumors, which realizes the effective connection of various links, reduces the treatment time of patients, and improves the treatment effect.

[0005] The objective of the present invention is achieved through the following technical solutions: The first aspect of the present invention discloses an intelligent medical management method based on radiotherapy of malignant tumors, comprising the following steps: Obtaining holographic image data corresponding to the patient's clinical image data; Inputting the holographic image data into a trained deep learning model to identify the target area of ​​the malignant tumor and its attributes; Calculating the dose of radioactive particles based on the malignant tumor target area and its properties; Generate a 3D printing instruction according to the malignant tumor target area, so that the 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction; Obtaining the dose distribution monitoring data of radioactive particles in the treatment area; analyzing the uniformity of radioactive particles according to the dose distribution monitoring data; Generate treatment plans and treatment risk assessments based on malignant tumor target areas, properties, and uniformity of radioactive particles.

[0006] The second aspect of the present invention discloses an intelligent medical management system based on radiotherapy for malignant tumors, the system is applied to radiotherapy, and the system comprises: A data acquisition unit, the data acquisition unit is used to acquire holographic image data of the patient; An identification unit, the identification unit is used to identify the target area of ​​the malignant tumor and its attributes according to the holographic image data; An instruction generating unit, the instruction generating unit is used to generate a 3D printing instruction according to the malignant tumor target area, so that a 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction; An auxiliary unit is used to obtain dose distribution monitoring data of radioactive particles in the treatment area, analyze the uniformity of radioactive particles based on the dose distribution monitoring data, and generate a treatment plan and treatment risk assessment based on the target area, properties, and uniformity of radioactive particles of the malignant tumor.

[0007] The beneficial effects of the present invention are: The present invention integrates clinical data collection, diagnostic system and 3D printing involved in radiotherapy for malignant tumors into one, thereby achieving full process management, shortening process connection time and improving treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0009] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0010] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0011] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0012] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0013] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0014] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use, or the positions or positional relationships commonly understood by those skilled in the art, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0015] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0016] The first aspect of the present invention discloses an intelligent medical management method based on radiotherapy for malignant tumors, such as Figure 1 As shown, the method includes steps S11 to S18. It should be noted that the step identifiers in this solution are only for the convenience of explaining the method and do not constitute a limitation on the sequence. The sequence of each step is based on its language description and the sequence of each signal.

[0017] Step S11, obtaining holographic image data corresponding to the patient's clinical image data.

[0018] Specifically, the holographic image data in this step can be local holographic image data or cloud holographic image data.

[0019] Since most of the patient data are generally clinical image data, if the data in the system is clinical image data, the clinical image data must first be converted into holographic image data.

[0020] Step S12: input the holographic image data into a trained deep learning model to identify the malignant tumor target area and its attributes.

[0021] In order to improve the ability to identify normal tissues, organs and lesions, the deep learning model uses fully convolutional neural networks (FCN). After a lot of training and verification, fully convolutional neural networks can accurately identify and analyze the characteristics and properties of malignant tumor target areas, complete the automatic delineation of patient target areas and organs at risk, and obtain accurate results that meet the patient's personalized characteristics.

[0022] Preferably, Yolov8 is used to identify the target area of ​​malignant tumors and their properties. Based on the deep neural network model of Yolov8, for application scenarios such as tumor identification, tumor staging, regions of interest, diagnostic data, etc., the specific objects contained in the collected images are intelligently analyzed, and the categories of these objects and their positions in the images are marked, thereby realizing target object detection. Compared with Yolov5, Yolov8 has carefully fine-tuned the model structure and replaced the C3 structure of YOLOv5 with a C2f structure with richer gradient flow to achieve better performance. Especially for small target objects, it has better applicability and can play a better recognition and detection effect on objects such as small tumors.

[0023] Step S13: Calculate the dose of radioactive particles based on the malignant tumor target area and its properties.

[0024] Step S14: generating a 3D printing instruction according to the malignant tumor target area, so that a 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction.

[0025] Automatic calculation is used to drive the 3D printing equipment according to the target area of ​​the malignant tumor to print out the compensation film and the tumor radiotherapy bed with positioning function.

[0026] The compensation film can minimize the damage of radiation to normal tissues; the tumor radiotherapy bed with positioning function covers the patient's skin surface during surgery, guiding the insertion needle or puncture needle to locate the target point, ensuring accurate positioning and patient comfort during radiotherapy.

[0027] Step S15: Logistics information monitoring.

[0028] Specifically, this step generates a patient label and a delivery address after generating a 3D printing instruction, so as to bind the patient to the treatment location, i.e., the delivery address. When the 3D printing device completes printing of the compensation film and the tumor radiotherapy bed with a positioning function, the corresponding logistics information is obtained. When the logistics information indicates that the logistics has arrived at the delivery address, an information prompt instruction is generated to send the logistics arrival information to the patient label and / or the corresponding doctor's terminal, so as to prompt that the next step of treatment can be carried out, thereby reducing unnecessary time in the middle.

[0029] Step S16: Obtaining the dose distribution monitoring data of the radioactive particles in the treatment area.

[0030] Step S17: analyzing the uniformity of the radioactive particles according to the dose distribution monitoring data.

[0031] Step S18: Generate a treatment plan and treatment risk assessment based on the target area, properties, and uniformity of the radioactive particles of the malignant tumor.

[0032] This step achieves auxiliary treatment by generating treatment plans and treatment risk assessments, which facilitates treatment plan adjustment recommendations to ensure maximum treatment effectiveness while reducing damage to normal tissues.

[0033] Based on the method of the first aspect, the second aspect of the present invention discloses an intelligent medical management system based on radiotherapy of malignant tumors, which is applied to radiotherapy, and includes a data acquisition unit, an identification unit, an instruction generation unit, and an auxiliary unit. The data acquisition unit is used to acquire the holographic image data of the patient; the identification unit is used to identify the malignant tumor target area and its attributes according to the holographic image data; the instruction generation unit is used to generate a 3D printing instruction according to the malignant tumor target area, so that the 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction; the auxiliary unit is used to obtain the dose distribution monitoring data of the radioactive particles in the treatment area, analyze the uniformity of the radioactive particles according to the dose distribution monitoring data, and generate a treatment plan and a treatment risk assessment according to the malignant tumor target area, attributes, and uniformity of the radioactive particles.

[0034] Furthermore, it also includes a logistics management unit, which is used to generate a patient label and a delivery address after generating a 3D printing instruction, obtain logistics information of the compensation film and the tumor radiotherapy bed with a positioning function corresponding to the patient label data, and when the logistics information represents the logistics arrival at the delivery address, generate an information prompt instruction to send the logistics arrival information to the terminal belonging to the patient label and / or the corresponding doctor.

[0035] The above methods and systems are used to achieve safe and efficient data transmission and process control, so that the clinical imaging data end, three-dimensional reconstruction data processing end, 3D printing production end, logistics and transportation end and other multiple ends are closely linked, in order to break the barriers of precision radiotherapy resources, provide cross-regional intelligent auxiliary decision support for radiotherapy medical personnel, realize large-scale data processing of patient holographic perception, open up the overall process from clinical data collection to production and delivery, and quickly respond to the production end of precision radiotherapy medical equipment, and complete the integration of radiotherapy planning and effect analysis modules. Significantly improve the efficiency of patients' medical treatment, reduce the cost of radiotherapy, expand the scope of application of tumor radiotherapy, effectively reduce the uncertainty in the radiotherapy process, optimize the patient's treatment experience, reduce the side effects of treatment, and improve the accuracy of radiotherapy.

[0036] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. An intelligent medical management method based on radiotherapy for malignant tumors, characterized in that: The following steps are involved: Obtaining holographic image data corresponding to the patient's clinical image data; Inputting the holographic image data into a trained deep learning model to identify the target area of ​​the malignant tumor and its attributes; Calculating the dose of radioactive particles based on the malignant tumor target area and its properties; Generate a 3D printing instruction according to the malignant tumor target area, so that the 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction; Obtaining the dose distribution monitoring data of radioactive particles in the treatment area; analyzing the uniformity of radioactive particles according to the dose distribution monitoring data; Generate treatment plans and treatment risk assessments based on malignant tumor target areas, properties, and uniformity of radioactive particles.

2. The intelligent medical management method based on radiotherapy for malignant tumors according to claim 1, characterized in that: The holographic image data is input into the trained deep learning model to identify the target area of ​​the malignant tumor and its attributes as follows: The holographic image data is input into a trained fully convolutional neural network to identify the malignant tumor target area and its attributes.

3. The intelligent medical management method based on radiotherapy for malignant tumors according to claim 1, characterized in that: The method of obtaining holographic image data corresponding to the patient's clinical image data includes: Obtain clinical imaging data of patients; The clinical image data is three-dimensionally remodeled to obtain holographic image data.

4. The intelligent medical management method based on radiotherapy for malignant tumors according to claim 1, characterized in that: After generating the 3D printing instruction according to the malignant tumor target area, the method further includes: Generate patient labels and shipping addresses, Obtaining logistics information of the compensation film and the tumor radiotherapy bed with positioning function corresponding to the patient tag data; In response to the logistics information representing that the logistics has arrived at the delivery address, an information prompt instruction is generated to send the logistics arrival information to the patient tag and / or the terminal belonging to the corresponding doctor.

5. An intelligent medical management system based on radiotherapy for malignant tumors, characterized in that: The system is applied to radiotherapy, and the system comprises: A data acquisition unit, the data acquisition unit is used to acquire holographic image data of the patient; An identification unit, the identification unit is used to identify the target area of ​​the malignant tumor and its attributes according to the holographic image data; An instruction generating unit, the instruction generating unit is used to generate a 3D printing instruction according to the malignant tumor target area, so that a 3D printing device prints a compensation film and a tumor radiotherapy bed with a positioning function according to the 3D printing instruction; An auxiliary unit is used to obtain dose distribution monitoring data of radioactive particles in the treatment area, analyze the uniformity of radioactive particles based on the dose distribution monitoring data, and generate a treatment plan and treatment risk assessment based on the target area, properties, and uniformity of radioactive particles of the malignant tumor.

6. The intelligent medical management system based on radiotherapy for malignant tumors according to claim 5, characterized in that: It also includes a logistics management unit, which is used to generate a patient label and a delivery address after generating a 3D printing instruction, obtain logistics information of a compensation film and a tumor radiotherapy bed with a positioning function corresponding to the patient label data, and when the logistics information represents that the logistics arrives at the delivery address, generate an information prompt instruction to send logistics arrival information to the terminal belonging to the patient label and / or the corresponding doctor.

7. The intelligent medical management system based on radiotherapy for malignant tumors according to claim 5, characterized in that: The recognition unit is the trained Yolov8.

Images