Online diagnosis and treatment auxiliary system and method for gynecological mammary gland diseases

Abstract

The invention discloses an online diagnosis and treatment auxiliary system and method for gynecological mammary gland diseases, which integrates an optical coherence tomography imaging module, a microwave thermal therapy module, a nano-particle targeted thermal therapy enhancing module and a thermistor temperature monitoring network module to realize high-resolution imaging and precise thermal therapy of mammary gland tissues. Through the multi-mode imaging technology, the system can obtain more comprehensive mammary tissue information, the detection accuracy and resolution are improved, and through the application of an intelligent temperature control algorithm and a machine learning algorithm, the system can automatically optimize imaging and thermal therapy parameters, misdiagnosis and missed diagnosis are reduced, and the detection accuracy is improved. The user interaction interface and the virtual reality imaging display unit enhance the user experience, the remote medical support module realizes remote monitoring and diagnosis, and the personalized treatment plan generation module can formulate and adjust a treatment plan according to the specific condition of a patient to maximize the treatment effect and improve the treatment efficiency. And an innovative solution is provided for early detection and treatment of breast cancer.

Description

Technical Field

[0001] The present invention relates to the field of medical diagnosis technology, and in particular to an online diagnosis and treatment auxiliary system and method for gynecological breast diseases. Background Art

[0002] Breast cancer is one of the most common malignant tumors in women. Its early diagnosis and treatment are of great significance for improving the survival rate and quality of life of patients. However, traditional breast cancer detection methods such as mammography and ultrasound examination have certain limitations in early breast cancer detection, especially for dense breast tissue. In recent years, the application of functional imaging technology in early breast cancer detection has received more and more attention. Among them, breast blood oxygen functional imaging technology has become a research hotspot due to its non-invasive and high sensitivity. It involves blood oxygen functional imaging technology and thermal therapy technology, aiming to improve the detection sensitivity and specificity of early breast cancer. Blood oxygen functional imaging technology can reflect the metabolism and angiogenesis of tumor tissue by detecting changes in blood oxygen levels in breast tissue, thereby detecting potential cancerous tissue before morphological changes. Thermal therapy technology can not only enhance the signal of blood oxygen functional imaging by locally heating tumor tissue, but also directly kill tumor cells.

[0003] Existing technologies have problems such as low imaging resolution, slow detection speed, and limited ability to detect tiny tumors. In addition, single blood oxygen functional imaging technology may be affected by multiple factors in clinical applications, leading to misdiagnosis and missed diagnosis. Summary of the invention

[0004] In order to overcome the above-mentioned problems in the prior art, the present invention designs an online diagnosis and treatment auxiliary system and method for gynecological breast diseases, which can effectively solve the technical problems of Shanshu.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] An online diagnosis and treatment auxiliary system and method for gynecological breast diseases, comprising:

[0007] Optical coherence tomography imaging module, used to obtain three-dimensional structural image data and blood oxygen functional imaging data of breast tissue;

[0008] Microwave thermotherapy module, used for localized hyperthermia treatment of breast tissue;

[0009] Nanoparticle targeted hyperthermia enhancement module, used to deliver specific nanoparticles to the tumor area of ​​breast tissue to improve the local thermal efficiency of microwave hyperthermia;

[0010] Thermistor temperature monitoring network module is embedded in the microwave thermal therapy module and is used to monitor the temperature distribution inside the breast tissue in real time to ensure the safety of thermal therapy;

[0011] The dual-mode hyperthermia strategy implementation module combines microwave hyperthermia and nanoparticle targeted hyperthermia to achieve complementary hyperthermia effects and improve the degree of thermal damage to tumor cells;

[0012] An integrated control and data processing module for controlling the operation of imaging and thermal therapy and processing imaging data and thermal therapy feedback data;

[0013] A user interface for displaying imaging data results, thermal therapy feedback data settings, and test results;

[0014] Telemedicine support module for remote monitoring and diagnosis;

[0015] The personalized treatment plan generation module is used to generate a personalized treatment plan based on the patient's specific situation.

[0016] Preferably, the optical coherence tomography imaging module is combined with multimodal imaging technology, including:

[0017] an optical coherence tomography unit for acquiring high-resolution structural image data of breast tissue;

[0018] A photoacoustic imaging unit, used to obtain blood oxygen saturation imaging data of breast tissue;

[0019] A laser speckle imaging unit, used to obtain blood flow imaging data of breast tissue;

[0020] The multimodal data fusion processing unit is used to integrate OCT image data, PAI and LSI imaging data to improve the accuracy and resolution of breast blood oxygen detection.

[0021] Preferably, the microwave thermal therapy module adopts an intelligent temperature control algorithm, including:

[0022] PID algorithm temperature control unit, used to dynamically adjust the temperature of thermal therapy;

[0023] Physiological response monitoring unit, used to monitor the patient's physiological response in real time to meet the thermal therapy needs of different patients;

[0024] The temperature optimization unit is used to optimize the thermal therapy parameters according to the monitoring data and improve the thermal therapy effect.

[0025] Preferably, the nanoparticle targeted hyperthermia enhancement module comprises:

[0026] A nanoparticle preparation unit is used to prepare nanoparticles with a core-shell structure according to the patient's breast tissue characteristics and preliminary diagnostic information, wherein the core is iron oxide nanoparticles and the shell is polylactic acid-glycolic acid copolymer, and is modified with nucleic acid aptamers specific to breast cancer cell surface antigens;

[0027] A nanoparticle targeted delivery unit is used to encapsulate the prepared nanoparticles in a liposome carrier to form a nanoparticle targeted delivery preparation, and inject the nanoparticles into the patient's body by intravenous injection, and utilize the specific recognition function of the nucleic acid aptamer to make the nanoparticles accumulate in the breast tissue tumor area;

[0028] The fluorescent label tracking unit is used to monitor the distribution of the nanoparticles in the breast tissue through the optical coherence tomography imaging module after the nanoparticles are injected, so as to ensure that the nanoparticles reach a sufficient concentration in the tumor area of ​​the breast tissue.

[0029] Preferably, the dual-mode hyperthermia strategy implementation module includes:

[0030] A setting unit, used for formulating a dual-mode thermal therapy strategy according to the patient's breast tissue tumor characteristics, physical condition and the distribution of the nanoparticles;

[0031] A control unit, used to accurately control the start, stop and parameter adjustment of microwave hyperthermia and nanoparticle targeted hyperthermia according to preset hyperthermia strategies and real-time monitoring data during the hyperthermia treatment process;

[0032] A temperature monitoring and transmission unit, used for real-time monitoring of the temperature distribution inside the breast tissue and transmitting the temperature data to the integrated control and data processing module;

[0033] The safety processing unit is used to trigger the emergency braking mechanism when the local temperature exceeds the preset safety threshold, and pop up a temperature abnormality alarm message on the user interaction interface.

[0034] Preferably, the integrated control and data processing module further comprises:

[0035] A machine learning algorithm optimization unit is used to optimize imaging parameters and thermal therapy parameters through machine learning algorithms to improve the intelligence level of automatic adjustment of the system;

[0036] The data mining and analysis unit is used to mine potential diagnostic information from imaging data and thermal therapy feedback data to assist clinical decision-making.

[0037] Preferably, the user interaction interface further comprises:

[0038] A multimodal imaging result display unit, used to display fused OCT image data, PAI and LSI imaging data results;

[0039] Thermotherapeutic parameter dynamic adjustment unit, used for real-time display and adjustment of intelligent temperature control parameters based on PID algorithm;

[0040] Diagnosis result analysis unit, used to display breast tissue diagnosis results and related information after deep learning analysis;

[0041] Virtual reality imaging display unit, used to provide three-dimensional results display, enhance user experience and intuitive clinical diagnosis;

[0042] Preferably, the remote medical support module includes:

[0043] Remote data transmission unit, used to safely transmit the patient's imaging data, thermal therapy feedback data, test results and physiological response monitoring data to the telemedicine center;

[0044] Remote expert consultation unit, where experts at the telemedicine center review the transmitted data to provide patients with a second opinion or adjust treatment plans;

[0045] The remote monitoring and guidance unit enables remote medical experts to monitor the hyperthermia treatment process in real time and provide immediate operational guidance or emergency treatment suggestions when necessary.

[0046] Preferably, the personalized treatment plan generation module includes:

[0047] Patient data analysis unit, which is used to integrate the patient's imaging data, thermal therapy feedback data, physiological response data and medical history information to build a personalized health profile for the patient;

[0048] The treatment plan optimization unit automatically generates the most suitable treatment plan for the patient based on the patient's personalized health record, combined with the latest medical research results and clinical experience, including hyperthermia parameter settings, nanoparticle targeted hyperthermia strategies, hyperthermia cycles and subsequent follow-up plans;

[0049] The treatment plan adjustment unit flexibly adjusts the treatment plan based on the patient's real-time feedback and treatment progress to ensure maximum treatment effect.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: by combining the optical coherence tomography imaging module with multimodal imaging technology, including OCT, PAI and LSI, the system can obtain higher-resolution breast tissue image data and blood oxygen functional imaging data, thereby improving the imaging resolution. At the same time, the multimodal data fusion processing unit integrates the imaging data of OCT, PAI and LSI, improves the accuracy and resolution of breast blood oxygen detection, and improves the detection speed. Through multimodal imaging technology, tiny tumors can be detected more effectively, and the early detection capability of breast cancer is improved. Single blood oxygen functional imaging technology may be affected by multiple factors in clinical applications, resulting in misdiagnosis and missed diagnosis problems. The system mines potential diagnostic information from imaging data and thermal therapy feedback data through a deep learning analysis unit and a data mining and analysis unit. The module can generate personalized treatment plans according to the specific conditions of patients, making the treatment plans more accurate and improving the treatment effect. The microwave thermal therapy module adopts intelligent temperature control algorithm, including PID algorithm temperature control unit, dynamically adjusts the thermal therapy temperature, and combines with nanoparticle targeted thermal therapy enhancement module to improve the local thermal efficiency of microwave thermal therapy, thereby improving the thermal therapy effect. The thermistor temperature monitoring network module monitors the temperature distribution inside breast tissue in real time to ensure the safety of thermal therapy. At the same time, the virtual reality imaging display unit provides three-dimensional result display, which enhances the user experience and the intuitiveness of clinical diagnosis. The telemedicine support module enables telemedicine experts to monitor the thermal therapy process in real time and provide immediate operation guidance or emergency treatment suggestions when necessary, improving the convenience and timeliness of treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without paying any creative work.

[0052] Figure 1 This is a structural diagram of an online diagnosis and treatment auxiliary system and method for gynecological breast diseases; DETAILED DESCRIPTION

[0053] The drawings are for illustrative purposes only and should not be construed as limiting the present patent;

[0054] In order to better illustrate the present embodiment, some parts in the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0055] It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0056] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0057] Example

[0058] An online diagnosis and treatment auxiliary system and method for gynecological breast diseases, such as Figure 1 As shown, including:

[0059] Optical coherence tomography imaging module, used to obtain three-dimensional structural image data and blood oxygen functional imaging data of breast tissue;

[0060] Microwave thermotherapy module, used for localized thermotherapy of breast tissue;

[0061] Nanoparticle targeted hyperthermia enhancement module, used to deliver specific nanoparticles to the tumor area of ​​breast tissue to improve the local thermal efficiency of microwave hyperthermia;

[0062] Thermistor temperature monitoring network module is embedded in the microwave thermal therapy module and is used to monitor the temperature distribution inside the breast tissue in real time to ensure the safety of thermal therapy;

[0063] The dual-mode hyperthermia strategy implementation module combines microwave hyperthermia and nanoparticle targeted hyperthermia to achieve complementary hyperthermia effects and improve the degree of thermal damage to tumor cells;

[0064] An integrated control and data processing module for controlling the operation of imaging and thermal therapy and processing imaging data and thermal therapy feedback data;

[0065] A user interface for displaying imaging data results, thermal therapy feedback data settings, and test results;

[0066] Telemedicine support module for remote monitoring and diagnosis;

[0067] The personalized treatment plan generation module is used to generate a personalized treatment plan based on the patient's specific situation.

[0068] The optical coherence tomography imaging module combines multimodal imaging technology, including:

[0069] an optical coherence tomography (OCT) unit to acquire high-resolution structural image data of breast tissue;

[0070] A photoacoustic imaging (PAI) unit for acquiring blood oxygen saturation imaging data of breast tissue;

[0071] A laser speckle imaging (LSI) unit for acquiring blood flow imaging data of breast tissue;

[0072] The multimodal data fusion processing unit is used to integrate OCT image data, PAI and LSI imaging data to improve the accuracy and resolution of breast blood oxygen detection.

[0073] Scan start and data acquisition, the optical coherence tomography (OCT) unit turns on the ultra-stable light source and emits a light beam in a specific wavelength range, such as 800-1300nm. This light beam scans the breast tissue layer by layer in a precise scanning mode. During the scanning process, the high-resolution optical detector array synchronously receives the reflected light signal and converts it into an electrical signal for transmission to the multimodal data fusion processing unit. The photoacoustic imaging (PAI) unit works at the same time, emitting short pulse lasers, such as a wavelength of 750nm and a pulse width of 10ns, to irradiate the breast tissue. After the breast tissue absorbs the laser energy, it produces an instantaneous volume expansion due to the photothermal effect, thereby emitting photoacoustic signals. The high-sensitivity ultrasonic transducers distributed around the breast receive these photoacoustic signals and convert them into The electrical signal is then transmitted to the multimodal data fusion processing unit. The laser speckle imaging (LSI) unit emits a low-power laser, such as a wavelength of 633nm, to the breast tissue. By collecting information on the speckle pattern changes caused by blood flow in the tissue, a special speckle algorithm is used to calculate the local blood flow imaging data of the breast tissue and transmit it to the multimodal data fusion processing unit. The multimodal data fusion processing unit fuses the imaging data from the OCT, PAI and LSI units. First, for the OCT data, an image reconstruction algorithm is used to generate a three-dimensional structural image of the breast tissue, which clearly displays the microstructure of the breast tissue, such as the morphology of the duct, the distribution of the lobules, and the outline of possible masses. The image resolution can reach 10-20μm.

[0074] For PAI data, after signal processing and analysis, the blood oxygen saturation imaging data of different areas of breast tissue are extracted and presented in the form of pseudo-color images, which intuitively reflect the blood oxygen distribution of breast tissue and help to judge the metabolic activity of tumor tissue. Because tumor tissue usually has a higher metabolic rate, its blood oxygen saturation may be different from that of normal tissue. LSI data shows the local blood perfusion of breast tissue in the form of blood flow images, which complement the blood oxygen saturation images and provide a more comprehensive basis for evaluating the physiological state of breast tissue.

[0075] Finally, the multimodal data fusion processing unit fuses the three types of imaging data at the feature level to generate a comprehensive multimodal imaging result of breast tissue, which is displayed to medical staff through the multimodal imaging result display unit of the user interaction interface. Medical staff can use the tools in the interaction interface to scale, rotate, mark and other operations on the image in order to observe in detail the various parts of the breast tissue, especially the characteristics of the suspected lesion area. For example, if an abnormal mass is found in a certain area on the structural image, and the blood oxygen saturation is low and the blood flow is abnormal, the area can be marked on the image to provide a reference for further analysis and diagnosis.

[0076] The microwave hyperthermia module adopts an intelligent temperature control algorithm, including:

[0077] PID algorithm temperature control unit, used to dynamically adjust the temperature of thermal therapy;

[0078] Physiological response monitoring unit, used to monitor the patient's physiological response in real time to meet the thermal therapy needs of different patients;

[0079] The temperature optimization unit is used to optimize the thermal therapy parameters according to the monitoring data and improve the thermal therapy effect.

[0080] Hyperthermia initiation and parameter setting: when it is confirmed that the nanoparticles have reached the expected concentration in the breast tumor area, the microwave hyperthermia module is started, and the microwave generator generates a microwave signal with a frequency of 915 MHz. The microwave energy is focused on the breast tissue tumor site through a special microwave radiation antenna. The microwave radiation antenna uses phased array technology, which can automatically adjust the radiation direction and beam shape according to the shape of the breast and the location of the tumor to ensure the uniformity and effectiveness of the hyperthermia. The integrated control and data processing module sets the initial hyperthermia parameters according to the patient's breast tissue characteristics and previous test data. For example, the target hyperthermia temperature is set to 42°C, the initial microwave power is 30W, and the hyperthermia time is 15 minutes.

[0081] Intelligent temperature control and physiological response monitoring. During the thermal therapy, the PID algorithm temperature control unit monitors the temperature changes of breast tissue in real time. Through the temperature data fed back by the thermistor temperature monitoring network module, the deviation between the current measured temperature and the target temperature and the temperature change rate are calculated, and the microwave transmission power is dynamically adjusted. For example, when the measured temperature is 0.5°C lower than the target temperature, the PID algorithm calculates the power adjustment amount according to the set proportional coefficient, such as 0.6, the integral time constant, such as 5 seconds, and the differential time constant, such as 0.5 seconds, and appropriately increases the microwave power to gradually increase the temperature. At the same time, the physiological response monitoring unit monitors the patient's physiological response changes in real time through the heart rate sensor, blood pressure sensor, skin temperature sensor, etc. attached to the patient's body surface. When the patient's heart rate exceeds 90 times / minute or the blood pressure fluctuates by more than 10%, the unit immediately triggers a warning signal and transmits the monitoring data to the integrated control and data processing module. The integrated control and data processing module suspends the thermal therapy or adjusts the thermal therapy parameters according to these data, such as reducing the microwave power, extending the thermal therapy time interval, etc., to ensure the patient's life safety and comfort during the thermal therapy process.

[0082] Temperature optimization and hyperthermia effect evaluation: The temperature optimization unit works continuously during the hyperthermia process. Based on the thermal conduction model of breast tissue and a large amount of clinical hyperthermia data, it uses machine learning algorithms to optimize the hyperthermia temperature parameters. For example, according to factors such as the size and location of the tumor and the density of breast tissue, the power distribution of the microwave radiation antenna is dynamically adjusted so that the tumor area can reach a more accurate treatment temperature, while the temperature rise of the surrounding normal tissue is controlled within a safe range. At the same time, the hyperthermia effect is evaluated by analyzing the temperature change curve of the tumor area during the hyperthermia process, the aggregation of nanoparticles, and the physiological response data of breast tissue. For example, if the temperature of the tumor area rises rapidly within 5 minutes after the start of hyperthermia and stabilizes near the target temperature, and the patient's physiological response is normal, and the distribution of nanoparticles is concentrated in the tumor area, it indicates that the hyperthermia effect is good; on the contrary, if the temperature rises slowly or fluctuates greatly, or the patient has obvious discomfort, the hyperthermia strategy needs to be adjusted.

[0083] The nanoparticle targeted hyperthermia enhancement module comprises:

[0084] A nanoparticle preparation unit is used to prepare nanoparticles with a core-shell structure according to the patient's breast tissue characteristics and preliminary diagnostic information, wherein the core is iron oxide nanoparticles and the shell is polylactic acid-glycolic acid copolymer, and is modified with nucleic acid aptamers specific to breast cancer cell surface antigens;

[0085] A nanoparticle targeted delivery unit is used to encapsulate the prepared nanoparticles in a liposome carrier to form a nanoparticle targeted delivery preparation, and inject the nanoparticles into the patient's body by intravenous injection, and utilize the specific recognition function of the nucleic acid aptamer to make the nanoparticles accumulate in the breast tissue tumor area;

[0086] The fluorescent label tracking unit is used to monitor the distribution of the nanoparticles in the breast tissue through the optical coherence tomography imaging module after the nanoparticles are injected, so as to ensure that the nanoparticles reach a sufficient concentration in the tumor area of ​​the breast tissue.

[0087] Nanoparticle preparation: According to the patient's breast tissue characteristics and preliminary diagnostic information, the nanoparticle preparation submodule of the nanoparticle targeted hyperthermia enhancement module begins to prepare specific nanoparticles. The advanced microemulsion method is used to synthesize nanoparticles with a core-shell structure. The inner core is iron oxide nanoparticles with a diameter of about 10-20nm. It has efficient microwave absorption performance and can heat up rapidly in a microwave field. The outer shell is polylactic acid-glycolic acid copolymer (PLGA) with good biocompatibility and is modified with nucleic acid aptamers targeting specific antigens on the surface of breast cancer cells as tumor targeting groups. By precisely controlling the synthesis process parameters, the size distribution of the nanoparticles is ensured to be uniform, the coefficient of variation is less than 10%, and it has good colloidal stability and biocompatibility.

[0088] Nanoparticle targeted delivery: the prepared nanoparticles are encapsulated in liposome carriers to form a nanoparticle targeted delivery preparation, which is slowly injected into the patient's body by intravenous injection at a rate of about 1-2 ml / min. During the blood circulation process, the nucleic acid aptamers on the surface of the nanoparticles can specifically recognize and bind to the antigens on the surface of breast tumor cells, so that the nanoparticles gradually accumulate in the breast tumor area. About 30-60 minutes after injection, the distribution of nanoparticles in breast tissue is monitored by the fluorescent labeling tracking function of the optical coherence tomography imaging module or other imaging methods to ensure that the nanoparticles reach a sufficient concentration in the tumor area, providing a good foundation for subsequent microwave thermal therapy.

[0089] Thermistor temperature monitoring network module is embedded in the microwave thermal therapy module and is used to monitor the temperature distribution inside the breast tissue in real time to ensure the safety of thermal therapy;

[0090] Temperature monitoring and data transmission, the thermistor temperature monitoring network module is composed of multiple high-precision thermistor sensors, which are evenly distributed on the surface of the radiation antenna of the microwave thermal therapy module and key locations inside the breast tissue, such as the surrounding and central areas of the tumor. During the thermal therapy process, the sensor monitors the temperature changes of the breast tissue in real time at a frequency of 20 times per second, and transmits the temperature data to the integrated control and data processing module through a high-speed data bus.

[0091] Safety threshold triggering and emergency handling: when the temperature data received by the integrated control and data processing module shows that the local temperature exceeds the preset safety threshold, such as 43°C, the emergency braking mechanism is immediately triggered, the microwave hyperthermia module stops microwave emission, and a striking temperature abnormality alarm message pops up on the user interaction interface, including the location, value, and time of the abnormal temperature, to remind medical staff to pay attention. Medical staff can further check the patient's condition based on the alarm information and take corresponding treatment measures, such as applying cold compresses to local tissues to cool them down, to ensure the safety of the hyperthermia process and effectively prevent the occurrence of complications such as breast tissue burns and edema due to excessively high hyperthermia temperatures.

[0092] The dual-mode hyperthermia strategy implementation module includes:

[0093] A setting unit, used for formulating a dual-mode thermal therapy strategy according to the patient's breast tissue tumor characteristics, physical condition and the distribution of the nanoparticles;

[0094] A control unit, used to accurately control the start, stop and parameter adjustment of microwave hyperthermia and nanoparticle targeted hyperthermia according to preset hyperthermia strategies and real-time monitoring data during the hyperthermia treatment process;

[0095] A temperature monitoring and transmission unit, used for real-time monitoring of the temperature distribution inside the breast tissue and transmitting the temperature data to the integrated control and data processing module;

[0096] The safety processing unit is used to trigger the emergency braking mechanism when the local temperature exceeds the preset safety threshold, and pop up a temperature abnormality alarm message on the user interaction interface.

[0097] Strategy planning and parameter setting. The dual-mode hyperthermia strategy implementation module formulates a detailed dual-mode hyperthermia strategy before hyperthermia based on the patient's breast tumor characteristics, such as size, location, pathological type, physical condition, such as age, underlying diseases, and the distribution of nanoparticles. For example, for patients with tumors less than 2 cm in diameter and located in the superficial part of the breast, a strategy is set to first perform 5 minutes of microwave hyperthermia to initially warm up the tumor tissue, and then use nanoparticle targeted hyperthermia to maintain a high temperature (42-43°C) in the local tumor for 10 minutes; for patients with tumors greater than 3 cm in diameter and deeper in location, nanoparticle targeted hyperthermia is first used to establish a local high-temperature hotspot (43-44°C) in the core area of ​​the tumor for 8 minutes, and then microwave hyperthermia is started to uniformly heat the entire tumor and its surrounding tissues. The hyperthermia time is 12 minutes, ensuring seamless connection and complementary advantages of the two hyperthermia modes, maximizing the thermal damage effect on tumor cells while reducing adverse effects on surrounding normal tissues.

[0098] Mode switching and collaborative control. During the thermal therapy process, the dual-mode thermal therapy strategy implementation module accurately controls the start, stop and parameter adjustment of microwave thermal therapy and nanoparticle targeted thermal therapy according to preset strategies and real-time monitoring data. For example, when the microwave thermal therapy reaches the predetermined time or the tumor temperature reaches a certain threshold, it automatically switches to the nanoparticle targeted thermal therapy mode and adjusts parameters such as the microwave excitation power or magnetic field intensity of the nanoparticles to maintain the treatment temperature of the tumor area; conversely, when the effect of nanoparticle targeted thermal therapy decreases or the thermal therapy range needs to be expanded, it switches back to the microwave thermal therapy mode in time and adjusts the microwave radiation parameters. Through this intelligent mode switching and collaborative control mechanism, the advantages of the two thermal therapy modes are complementary, thereby improving the efficacy and safety of thermal therapy.

[0099] The integrated control and data processing module further comprises:

[0100] A machine learning algorithm optimization unit is used to optimize imaging parameters and thermal therapy parameters through machine learning algorithms to improve the intelligence level of automatic adjustment of the system;

[0101] The data mining and analysis unit is used to mine potential diagnostic information from imaging data and thermal therapy feedback data to assist clinical decision-making.

[0102] Module control and data integration, the integrated control and data processing module is the core of the entire detection system. It is closely connected with the optical coherence tomography imaging module, microwave hyperthermia module, nanoparticle targeted hyperthermia enhancement module, thermistor temperature monitoring network module, etc. through a high-speed data bus. On the one hand, it sends precise control instructions to each module, such as controlling the scanning range, resolution, scanning speed and other parameters of the optical coherence tomography imaging module; setting the microwave frequency, power, hyperthermia time, etc. of the microwave hyperthermia module; adjusting the nanoparticle preparation amount, delivery speed, targeting group modification, etc. of the nanoparticle targeted hyperthermia enhancement module; on the other hand, it receives and deeply integrates the feedback data from each module in real time, including imaging data, such as three-dimensional structural images of breast tissue, blood oxygen functional imaging data, multimodal fusion images, etc., hyperthermia data, such as microwave power, temperature change curve, hyperthermia time, etc., nanoparticle data, such as the distribution of nanoparticles, aggregation concentration, etc., and physiological response data, such as the patient's heart rate, blood pressure, skin temperature, etc.

[0103] Machine learning algorithm optimization and data mining: The machine learning algorithm optimization unit uses deep learning algorithms to optimize imaging parameters and thermal therapy parameters. For example, by building a convolutional neural network (CNN) model, the relationship between imaging quality and imaging parameters in a large amount of historical detection data is learned and trained, and the relationship between thermal therapy effect and thermal therapy parameters is modeled and analyzed. When facing new patient detection, the imaging parameters and thermal therapy parameters are automatically adjusted according to the patient's preliminary characteristic information, such as age, breast tissue density, family medical history, etc., to improve the intelligence level of the system's automatic adjustment, reduce manual intervention, and improve detection and treatment efficiency. Data mining The mining and analysis unit mines potential diagnostic information from imaging data and thermal therapy feedback data. For example, it uses association rule mining algorithms to analyze the correlation between multi-dimensional data such as changes in blood oxygen functional imaging data of breast tissue before and after thermal therapy, structural morphological changes in the tumor area, and temperature change curves, and mines characteristic information related to early breast cancer diagnosis and prognosis evaluation, such as specific blood oxygen saturation change patterns, sensitivity characteristics of tumor tissue to thermal therapy, and correlation between tumor growth rate and thermal therapy effect. The mined information is organized into detailed reports to assist clinical decision-making and provide a strong basis for doctors to formulate personalized treatment plans.

[0104] The user interaction interface further comprises:

[0105] A multimodal imaging result display unit, used to display fused OCT image data, PAI and LSI imaging data results;

[0106] Thermotherapeutic parameter dynamic adjustment unit, used for real-time display and adjustment of intelligent temperature control parameters based on PID algorithm;

[0107] Diagnosis result analysis unit, used to display breast tissue diagnosis results and related information after deep learning analysis;

[0108] Virtual reality imaging display unit, used to provide three-dimensional results display, enhance user experience and intuitive clinical diagnosis;

[0109] Imaging result display and operation: The multimodal imaging result display unit displays the fused OCT image data, PAI and LSI imaging data results in a high-definition, multi-perspective manner on the user interaction interface. Medical staff can use the touch screen or mouse to zoom in and out (from the overall breast tissue view to the microscopic structure detail view), rotate (observe breast tissue from different angles), and mark (mark suspected lesion areas for subsequent focused analysis), etc., to facilitate detailed observation of various parts of the breast tissue, especially the characteristics of suspected tumor areas. For example, when it is observed that the blood oxygen saturation of a certain area is low and the blood flow is abnormal, medical staff can mark the area on the image, and the system will automatically record the marked position and related data for subsequent focused analysis and comparison.

[0110] Display and adjustment of thermal therapy parameters. The dynamic adjustment unit of thermal therapy parameters displays the intelligent temperature control parameters of the microwave thermal therapy module based on the PID algorithm in real time, such as the current set temperature of 42°C, the actual temperature of 41.8°C, the power output of 28W and other information. At the same time, it provides convenient operation controls. Medical staff can dynamically adjust the thermal therapy parameters according to the patient's real-time situation and treatment needs within the permitted range. For example, the set temperature can be adjusted between 41°C and 43°C. When the medical staff adjusts the thermal therapy temperature, the system automatically verifies the rationality of the parameters. If the adjusted temperature exceeds the safe range or may affect the thermal therapy effect, the system will pop up a warning prompt box to inform the medical staff of the possible risks of the adjustment to ensure the safety and effectiveness of the thermal therapy parameter adjustment. In addition, the remaining time, cumulative time and other information of the thermal therapy can also be displayed, which is convenient for medical staff to grasp the progress of thermal therapy.

[0111] Presentation and analysis of diagnostic results. The diagnostic result analysis unit displays the breast tissue diagnostic results and related information after deep learning analysis. For example, the tumor is located in the upper right corner of the breast, with a size of approximately 1.8cm×2.0cm, an irregular shape, and blurred boundaries. The blood oxygen function parameters show that the blood oxygen saturation in the tumor area is 55% (lower than normal breast tissue). The thermal therapy effect evaluation shows that the temperature rise rate in the tumor area is 0.4℃ / minute, indicating that the tumor has a certain sensitivity to thermal therapy, and the diagnostic confidence after optimization based on the diagnostic threshold is 75%, indicating that the diagnostic result is relatively reliable but still needs further observation or combination with other examinations. This information is presented in various forms, such as charts, such as tumor size change curves over time, blood oxygen saturation distribution histograms, etc., text reports that describe the health status of breast tissue, tumor characteristics, thermal therapy process and effects in detail, and three-dimensional visualization models that intuitively display the three-dimensional structure of breast tissue and tumors and thermal therapy temperature distribution, etc., to facilitate medical staff to deeply understand the diagnostic results and formulate reasonable treatment plans.

[0112] Virtual reality imaging assists diagnosis. The virtual reality imaging display unit converts the three-dimensional structural images of breast tissue, multimodal imaging results, and temperature distribution data during thermal therapy into virtual reality scenes. Medical staff can immersively observe the internal conditions of breast tissue by wearing VR equipment. In the virtual scene, it is as if they are inside the breast tissue, and can more intuitively feel the location, size, and relationship of the tumor to the surrounding tissue. For example, in the virtual scene, you can clearly see that the tumor tissue appears dark red, indicating low blood oxygen content, and the surrounding normal tissue is light red. During thermal therapy, the temperature of the tumor area is higher and appears as a yellow hot spot. This intuitive display helps to improve the accuracy of diagnosis and the accuracy of treatment plans. At the same time, VR devices also support interactive operations, such as measuring, marking, navigating, and other operations in virtual scenes through handles or gesture recognition, further improving user experience and diagnostic efficiency.

[0113] The telemedicine support module includes:

[0114] Remote data transmission unit, used to safely transmit the patient's imaging data, thermal therapy feedback data, test results and physiological response monitoring data to the telemedicine center;

[0115] Remote expert consultation unit, where experts at the telemedicine center review the transmitted data to provide patients with a second opinion or adjust treatment plans;

[0116] The remote monitoring and guidance unit enables remote medical experts to monitor the hyperthermia treatment process in real time and provide immediate operational guidance or emergency treatment suggestions when necessary.

[0117] The remote data transmission unit securely transmits the patient's imaging data, thermal therapy feedback data, test results and physiological response monitoring data to the telemedicine center through an encrypted network connection. During the transmission process, multiple encryption algorithms are used, such as combining symmetric encryption and asymmetric encryption, to encrypt the data, regularly update the encryption key, and perform data integrity verification to prevent the data from being illegally obtained, tampered with or lost during transmission.

[0118] In the remote expert consultation unit, experts from the telemedicine center receive and view the transmitted data through special medical data viewing software. Experts can conduct detailed analysis of imaging data on their own terminals, such as magnifying and measuring the size of tumors, and viewing detailed information of images of different modalities; evaluate the thermal therapy data, determine whether the thermal therapy parameter settings are reasonable, whether the thermal therapy process is safe and effective, etc. Experts provide patients with a second opinion or adjust the treatment plan based on these data and their own professional experience. For example, if the expert believes that the current thermal therapy temperature is too high and may have adverse effects on the patient, the expert can send adjustment suggestions to on-site medical staff through the remote consultation system, requesting that the thermal therapy temperature be reduced by 1°C.

[0119] The remote monitoring and guidance unit enables telemedicine experts to monitor the thermal therapy process in real time. Experts can view the temperature change curve during the thermal therapy process, the patient's physiological response data and other information through the remote monitoring interface. When necessary, if the patient is found to have serious physiological abnormalities or thermal therapy equipment failure, the expert can provide immediate operational guidance or emergency treatment suggestions. For example, when the patient's heart rate suddenly rises to 120 beats / minute and continues to rise, the expert can instruct the on-site medical staff to suspend the thermal therapy and take appropriate first aid measures, such as giving the patient oxygen and injecting drugs to relieve the heart rate.

[0120] The personalized treatment plan generation module includes:

[0121] Patient data analysis unit, which is used to integrate the patient's imaging data, thermal therapy feedback data, physiological response data and medical history information to build a personalized health profile for the patient;

[0122] The treatment plan optimization unit automatically generates the most suitable treatment plan for the patient based on the patient's personalized health record, combined with the latest medical research results and clinical experience, including hyperthermia parameter settings, nanoparticle targeted hyperthermia strategies, hyperthermia cycles and subsequent follow-up plans;

[0123] The treatment plan adjustment unit flexibly adjusts the treatment plan based on the patient's real-time feedback and treatment progress to ensure maximum treatment effect.

[0124] The patient data analysis unit integrates the patient's imaging data, thermal therapy feedback data, physiological response data and medical history information, including family medical history, previous breast disease history, etc., to build a personalized health profile for the patient. For example, it analyzes the patient's breast tissue type, dense or loose type, the pathological characteristics of the tumor, such as whether it is invasive cancer, the degree of differentiation of tumor cells, etc., the patient's tolerance to thermal therapy, and judges based on physiological response monitoring data and whether family genetic factors carry breast cancer-related gene mutations and other information. This information is organized into a structured data file to provide a comprehensive data basis for generating personalized treatment plans.

[0125] The treatment plan optimization algorithm is based on the patient's personalized health record, combined with the latest medical research results and clinical experience, to automatically generate the most suitable treatment plan for the patient. For example, if the patient's tumor is small and non-invasive cancer, no obvious mutations are found in genetic testing, and the patient responds well to thermal therapy, the treatment plan may include continuing the current dual-mode thermal therapy plan, adjusting the power and time of microwave thermal therapy, increasing the number of nanoparticle targeted thermal therapy, setting the thermal therapy cycle to 3 times a week for a total of 6 weeks of treatment, and arranging regular follow-up in the first, third and sixth months after the end of treatment. Follow-up items include breast ultrasound examination, breast blood oxygen function imaging examination, etc.; if the patient's tumor is large and invasive cancer, and carries a BRCA1 gene mutation, the treatment plan may recommend surgical treatment at an appropriate time on the basis of thermal therapy, and adjust the choice of chemotherapy drugs according to the type of genetic mutation, such as selecting platinum chemotherapy drugs and doses that are more effective for BRCA1 gene mutation-related breast cancer, and strengthening follow-up monitoring, including adding tumor marker detection and other items.

[0126] The treatment plan adjustment unit flexibly adjusts the treatment plan based on the patient's real-time feedback and treatment progress. For example, if the patient experiences serious adverse reactions during the treatment, such as skin burns, general discomfort, etc., the treatment plan adjustment unit will suspend or modify the thermal therapy plan, adjust the drug dosage or change the treatment method according to the severity and type of the adverse reaction; if signs of tumor recurrence or metastasis are found during follow-up, the treatment plan adjustment unit will promptly adjust the treatment strategy and add other treatment methods such as radiotherapy and targeted therapy to ensure maximum treatment effect and improve the patient's cure rate and quality of life.

[0127] The same or similar reference numerals correspond to the same or similar components;

[0128] The terms used in the drawings to describe positional relationships are only used for illustrative purposes and should not be construed as limiting this patent;

[0129] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made on the basis of the above description. It is not necessary and impossible to list all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. An online diagnosis and treatment auxiliary system and method for gynecological breast diseases, characterized in that: include: Optical coherence tomography imaging module, used to obtain three-dimensional structural image data and blood oxygen functional imaging data of breast tissue; Microwave thermotherapy module, used for localized thermotherapy of breast tissue; Nanoparticle targeted hyperthermia enhancement module, used to deliver specific nanoparticles to the tumor area of ​​breast tissue to improve the local thermal efficiency of microwave hyperthermia; Thermistor temperature monitoring network module is embedded in the microwave thermal therapy module and is used to monitor the temperature distribution inside the breast tissue in real time to ensure the safety of thermal therapy; The dual-mode hyperthermia strategy implementation module combines microwave hyperthermia and nanoparticle targeted hyperthermia to achieve complementary hyperthermia effects and improve the degree of thermal damage to tumor cells; An integrated control and data processing module for controlling the operation of imaging and thermal therapy and processing imaging data and thermal therapy feedback data; A user interface for displaying imaging data results, thermal therapy feedback data settings, and test results; Telemedicine support module for remote monitoring and diagnosis; The personalized treatment plan generation module is used to generate a personalized treatment plan based on the patient's specific situation.

2. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1 is characterized in that: The optical coherence tomography imaging module combines multimodal imaging technology, including: an optical coherence tomography unit for acquiring high-resolution structural image data of breast tissue; A photoacoustic imaging unit, used to obtain blood oxygen saturation imaging data of breast tissue; A laser speckle imaging unit, used to obtain blood flow imaging data of breast tissue; The multimodal data fusion processing unit is used to integrate OCT image data, PAI and LSI imaging data to improve the accuracy and resolution of breast blood oxygen detection.

3. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The microwave hyperthermia module adopts an intelligent temperature control algorithm, including: PID algorithm temperature control unit, used to dynamically adjust the temperature of thermal therapy; Physiological response monitoring unit, used to monitor the patient's physiological response in real time to meet the thermal therapy needs of different patients; The temperature optimization unit is used to optimize the thermal therapy parameters according to the monitoring data and improve the thermal therapy effect.

4. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The nanoparticle targeted hyperthermia enhancement module comprises: A nanoparticle preparation unit is used to prepare nanoparticles with a core-shell structure according to the patient's breast tissue characteristics and preliminary diagnostic information, wherein the core is iron oxide nanoparticles and the shell is polylactic acid-glycolic acid copolymer, and is modified with nucleic acid aptamers targeting specific antigens on the surface of breast cancer cells; A nanoparticle targeted delivery unit is used to encapsulate the prepared nanoparticles in a liposome carrier to form a nanoparticle targeted delivery preparation, and inject the nanoparticles into the patient's body by intravenous injection, and utilize the specific recognition function of the nucleic acid aptamer to make the nanoparticles accumulate in the breast tissue tumor area; The fluorescent label tracking unit is used to monitor the distribution of the nanoparticles in breast tissue through the optical coherence tomography imaging module after the nanoparticles are injected, so as to ensure that the nanoparticles reach a sufficient concentration in the tumor area of ​​the breast tissue.

5. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The dual-mode hyperthermia strategy implementation module includes: A setting unit, used for formulating a dual-mode thermal therapy strategy according to the patient's breast tissue tumor characteristics, physical condition and the distribution of the nanoparticles; A control unit, used to accurately control the start, stop and parameter adjustment of microwave hyperthermia and nanoparticle targeted hyperthermia according to preset hyperthermia strategies and real-time monitoring data during the hyperthermia treatment process; A temperature monitoring and transmission unit, used for real-time monitoring of the temperature distribution inside the breast tissue and transmitting the temperature data to the integrated control and data processing module; The safety processing unit is used to trigger the emergency braking mechanism when the local temperature exceeds the preset safety threshold, and pop up a temperature abnormality alarm message on the user interaction interface.

6. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The integrated control and data processing module further comprises: A machine learning algorithm optimization unit is used to optimize imaging parameters and thermal therapy parameters through machine learning algorithms to improve the intelligence level of automatic adjustment of the system; The data mining and analysis unit is used to mine potential diagnostic information from imaging data and thermal therapy feedback data to assist clinical decision-making.

7. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The user interaction interface further comprises: A multimodal imaging result display unit, used to display fused OCT image data, PAI and LSI imaging data results; Thermotherapeutic parameter dynamic adjustment unit, used for real-time display and adjustment of intelligent temperature control parameters based on PID algorithm; Diagnosis result analysis unit, used to display breast tissue diagnosis results and related information after deep learning analysis; Virtual reality imaging display unit is used to provide three-dimensional result display, enhancing user experience and the intuitiveness of clinical diagnosis.

8. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The telemedicine support module includes: Remote data transmission unit, used to safely transmit the patient's imaging data, thermal therapy feedback data, test results and physiological response monitoring data to the telemedicine center; Remote expert consultation unit, where experts at the telemedicine center review the transmitted data to provide patients with a second opinion or adjust treatment plans; The remote monitoring and guidance unit enables remote medical experts to monitor the hyperthermia treatment process in real time and provide immediate operational guidance or emergency treatment suggestions when necessary.

9. The online diagnosis and treatment auxiliary system and method for gynecological breast diseases according to claim 1, characterized in that: The personalized treatment plan generation module includes: Patient data analysis unit, which is used to integrate the patient's imaging data, thermal therapy feedback data, physiological response data and medical history information to build a personalized health profile for the patient; The treatment plan optimization unit automatically generates the most suitable treatment plan for the patient based on the patient's personalized health record, combined with the latest medical research results and clinical experience, including hyperthermia parameter settings, nanoparticle targeted hyperthermia strategies, hyperthermia cycles and subsequent follow-up plans; The treatment plan adjustment unit flexibly adjusts the treatment plan based on the patient's real-time feedback and treatment progress to ensure maximum treatment effect.

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