Early-stage tumor pre-warning device and working method thereof

Abstract

The invention discloses an early-stage tumor pre-warning device and a working method thereof. The device mainly comprises an X-ray part (1), a detection part (2) and a control processing part (3) which are electrically connected. According to the invention, a human nail (4) is radiated with X ray, an energy-dispersive X-ray scattering fluorescence technology is adopted to quickly acquire varieties and relative contents of trace elements in the nail and characteristics of an energy-dispersive X-ray scattering peak. According to the method, whether the owner of the human nail has early-stage tumor signs and varieties of the trace elements or not can be determined by comparing with an established tumor characteristic database containing the energy-dispersive X-ray scattering data indicating the composition of the nail of the tumor patient, energy-dispersive X-ray fluorescence data of varieties and relative content of trace elements in the nail of the tumor patient. The early-stage tumor pre-warning device has the advantages of simple structure, small size and portability, low construction and maintenance cost, is convenient in sampling and quick in detection, prevents a human body from being injured by X ray, and can be used for early-stage tumor pre-warning.

Description

technical field [0001] The invention relates to an early warning device and a working method, in particular to a tumor early warning device and a working method. Background technique [0002] Malignant tumor is one of the main diseases that seriously affect human health and threaten human life. Together with cardiovascular and cerebrovascular diseases and accidents, tumors constitute the three major causes of death in all countries in the world today. Early detection, early diagnosis, and early treatment are the key to reducing the mortality of cancer patients. Therefore, the early diagnosis methods of tumors, especially the diagnosis methods before the cells transform from normal to abnormal, play a very important role in improving the cure rate of tumors and saving the lives of tumor patients. [0003] Among the many early diagnosis methods of tumors, a method for diagnosing tumors based on the spatial distribution characteristics of the content of various trace elements...

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Problems solved by technology

However, this method for diagnosing tumors has disadvantages. At first, it is inconvenient to take samples. It is necessary to obtain the content of trace elements from living tissues such as the brain, heart, lung, liver, kidney, and muscle of the human body, as well as hair and nails. Not only will it bring great physical and psychological pain to the personnel to be tested, but also because the amount of characteristic data to be obtained is very large, so there are many organizations to be detected, which greatly increases the interference, which makes the detection The speed of diagnosis and diagnosis is too slow, which is greatly limited in practice; secondly, the discriminant mode in the method adopts the mathematical normalization process of multiple trace elements measured by any individual one by one, and calculates the distance from the individual to the normal and tumor distribution center. Euclidean distance, and the Euclidean distance from the individual to the normal and tumor distribution center is used as the basis for judging whether it is a tumor, and the Euclidean distance treats the difference between different attributes of the sample (ie, each index or each variable) equally. Defects, this point sometimes cannot meet the actual requirements, so that the error of the judgment result is large, and it is easy to cause misdiagnosis

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