Hysteroscope probing instrument for early cancerization of cervix uteri or endometrium

Abstract

The utility model discloses a hysteroscope exploration instrument for early cancerization of cervix uteri or endometrium. The hysteroscope exploration instrument comprises a host specific light excitation system, a spectrograph, an endoscope camera system and a light guide system composed of Y-shaped light guide fibers. Two Y-shaped ports of the light guide system are respectively connected with the specific light excitation system and the spectrograph; exciting light output by the specific light excitation system passes through a hysteroscope biopsy hole or the light guide fiber of a hysteroscope all-in-one machine through the light guide system to irradiate tissue to be detected, so as to excite the tissue to emit autofluorescence and reflected light, and the autofluorescence and the reflected light are transmitted to the spectrograph through the return guide optical fiber of the light guide system to form a cancer photoelectricity image. The instrument is suitable for diagnosis of mucosal epithelial early-stage cancer and even intraepithelial neoplasia, has important significance for reducing the occurrence rate and death rate of common mucosal epithelial cancer, and has great social value. The hysteroscope provided with the preliminary diagnosis function of 'cancer photoelectricity diagram' early cancer and intraepithelial neoplasia increases competitive strength for manufacturers to enjoy the market, and has great economic benefits.

Description

technical field [0001] The invention belongs to the technical field of medical auxiliary detection and diagnosis tools, and in particular relates to a hysteroscope probe for early canceration of the cervix or endometrium. Background technique [0002] Due to heredity, gene mutation, long-term eating habits, work and rest habits, etc., the human body may develop malignant cancers, such as cervical cancer and endometrial cancer. Cervical cancer is the second most common cancer in women, after breast cancer. There are 600,000 new cases every year in the world, and 200,000 women die of cervical cancer every year. These cancerous tissues can be divided into early stage, advanced stage and late stage according to the lesion stage, and different stages correspond to different treatment methods. Among them, early detection of cancer has the least difficulty in treatment, and the patient has the greatest chance of recovery. Early detection and treatment is the most effective way t...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, medical imaging images are usually used to detect early cancers, but since early cancer cells and non-pathological cells have very inconspicuous features in shape and color, the diagnosis of early cancers is a fine image detection problem, and it is difficult for doctors to detect early cancers. Discovered through medical imaging

At the same time, traditional pathological diagnosis is time-consuming and labor-intensive, and cannot meet the requirements of cervical cancer screening. In recent years, artificial intelligence and big data technology have been successfully used in pathology, and the intelligent auxiliary diagnosis system was born.

However, the electronic hysteroscope used in hospitals currently uses CCD to collect images under white light. Intraepithelial neoplasia and early cancer changes in the mucosa are not obvious under the general image, and it is easy to miss diagnosis.

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