Tumor diagnosis method based on molecular fragment spectrum generated by interaction of light and substances

Abstract

The invention relates to a tumor pathological diagnosis method based on a molecular fragment spectrum generated by interaction of light and substances, belongs to the technical field of spectrum detection, and solves the problems that pre-operation imaging diagnosis cannot be highly consistent with intraoperative conditions, pathological biopsy needs to be carried out during an operation, frozen pathological biopsy depends on experience of pathologists, and the diagnosis accuracy is not high. Laser-induced breakdown spectroscopy data of a tumor is acquired by using a laser-induced breakdown spectroscopy measurement system. Molecular fragment bands in the identification data serve as diagnosis and identification features to calculate the intensity ratio of the molecular fragment bands, andthe number of the diagnosis and identification features is expanded. A brain-like computing spiking neural network model is constructed according to the ratio characteristics, and diagnosis and identification are carried out on unknown molecular fragment spectral data by applying the obtained spiking neural network model.

Description

technical field [0001] The invention relates to a tumor pathological diagnosis method based on the molecular fragment spectrum generated by the interaction between light and matter, and belongs to the technical field of spectrum detection. Background technique [0002] The current incidence of malignant tumors is increasing year by year. According to the national cancer report "Chinese Families Troubled by Cancer—Authoritative Report on Cancer Big Data in China" released by the National Cancer Center of China in 2019, among the main causes of death among urban residents in China, malignant tumors account for ratio has risen to 26%. The 5-year average relative survival rate is only 40.5%, far below the level of developed countries. The main treatment for malignant tumors is still surgical resection. Surgical resection affects the postoperative survival period and quality of life of patients. Because the preoperative imaging diagnosis cannot be highly consistent with the in...

AI Technical Summary

Problems solved by technology

According to the interaction between laser and tissue, the ablation breakdown produces molecular fragment spectrum, and the advanced brain-inspired computing pulse neural network is used for classification and identification, and the intraoperative pathological diagnosis of tumors is completed, which solves the practical application problem of clinical tumor pathological diagnosis

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