System for detecting early-stage breast cancer through breast blood oxygen functional imaging and thermotherapy

Abstract

The invention belongs to the technical field of medical imaging and discloses a system for detecting early-stage breast cancer through breast blood oxygen functional imaging and thermotherapy. A bloodoxygen functional detection terminal is used for detecting breast blood oxygen functions, an auxiliary heating area discrimination analysis module is used for performing grouped auxiliary heating according to auxiliary heating inclusion standards and breast cancer diagnosis standards and analyzing discrimination information of blood and oxygen value and blood oxygen ratio in each group after auxiliary heating, an auxiliary heating blood oxygen ratio threshold value building module is used for analyzing and evaluating value of auxiliary heating blood oxygen ratio in each group by taking pathological classification diagnosis as a correction standard and establishing a diagnosis threshold value of each auxiliary heating blood oxygen ratio group, and an auxiliary heating blood oxygen ratio calculating module is used for calculating sensitivity, specificity and accuracy data of breast cancer diagnosis through the auxiliary heating blood oxygen ratio. The system is simple and convenient inapplication, safe, efficient, economical, noninvasive, high in economic and social benefit and quite high in sensitivity, specificity and accuracy and can create huge economic value and social value for society.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a breast blood oxygen function imaging system supplemented with hyperthermia early breast cancer detection system. Background technique [0002] Currently, the closest prior art: [0003] Diagnosis includes: development of screening technology for high-risk groups of breast cancer, research on early detection and monitoring technology of breast cancer, research on precise molecular markers of breast cancer, research on breast cancer epidemiology, breast cancer database, detection system and software, prediction and Evaluation models and public platforms. [0004] The traditional detection of breast cancer lesions relies on regular breast self-examination and clinical physical examination. A large number of studies have shown that regular breast self-examination is not conducive to the early detection of breast cancer, and breast cancer found in clin...

AI Technical Summary

Problems solved by technology

[0013] (1) In the prior art, auxiliary heating was not grouped according to the inclusion criteria of auxiliary heating and the diagnostic criteria of breast cancer. After auxiliary heating, the blood, oxygen value and blood oxygen ratio were analyzed to distinguish between each group, and the pathological classification was used to diagnose Calibrate the standard, analyze and evaluate the value of the blood oxygen ratio of auxiliary heat in each group, establish the diagnostic threshold of each group of blood oxygen ratio of auxiliary heat, calculate the sensitivity, specificity and accuracy of breast cancer diagnosis by the blood oxygen ratio of auxiliary heat, and result in the obtained breast cancer Poor accuracy of cancer information data

[0014] Moreover, the existing technology lacks theoretical basis for the information on whether hyperthermia can improve the blood-oxygen ratio of breast cancer, benign tumors, and normal breast tissue.

[0015] (2) The equipment in the prior art cannot monitor the overall blood oxygen of the whole breast, and can only artificially search for the area of ​​interest, that is, the suspicious malignant tumor area, after imaging through infrared irradiation

Then do blood oxygen monitoring at a certain point in the area of ​​interest, which requires high experience and technical skills of doctors, and may miss diagnosis

[0016] (3) The equipment in the prior art needs to monitor the origin (monitoring point before auxiliary heating) after auxiliary heating, but this point will be affected by the position of the patient and the operation of the doctor, so it cannot be 100% corresponding to the origin monitoring

Therefore, there will be a certain error (0.2-0.5)

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