A breast blood oxygen function imaging system combined with hyperthermia early breast cancer detection system

Abstract

The invention belongs to the technical field of medical image processing, and discloses a breast blood oxygen function imaging system supplemented with hyperthermia early breast cancer detection system, the blood oxygen function detection terminal is used for breast blood oxygen function detection; According to the inclusion criteria of auxiliary heating and breast cancer diagnostic criteria, auxiliary heating is grouped, and the differentiation information of blood, oxygen value and blood oxygen ratio in each group after auxiliary heating is analyzed; the establishment module of auxiliary heating blood oxygen ratio threshold is used for diagnosis by pathological classification In order to calibrate the standard, analyze and evaluate the value of the blood oxygen ratio in each group, and establish the diagnostic threshold of the blood oxygen ratio in each group; the blood oxygen ratio calculation module is used to calculate the sensitivity and specificity of the blood oxygen ratio in the diagnosis of breast cancer accuracy and data. The application of the present invention is simple, safe, efficient, economical, non-invasive, and has high economic and social benefits. The present invention has high sensitivity, specificity and accuracy, and generates huge economic and social values ​​for the 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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