Kit for predicting lung injury clinical progress of patient with chest tumor after radiotherapy

Abstract

The invention discloses a kit for predicting the lung injury clinical progress of a patient with chest tumor after radiotherapy. A detection module detects the number and proportion of seven immune cells in peripheral blood of the patient with chest tumor, and the seven immune cells comprise NK cells, lymphocytes, granulocytes, monocytes, DC cells, T lymphocytes and B lymphocytes; a measuring module is used for measuring the concentrations of five cytokines in peripheral blood, and the five cytokines comprise interleukin 4, interleukin 6, interleukin 8, interleukin 13 and gamma interferon; anacquisition module acquires the clinical information of the patient withchest tumor, and the clinical information comprises age, gender, weight, hypertension, diabetes, pulmonary infection, radiationfield and radiation dose; and a prediction module inputs the number and proportion of the seven immune cells, the concentrations of the five cell factors and the clinical information into a feedforward neural network for prediction, and predicts the probability of occurrence and severity of lung injury at different stages after radiotherapy of the patient with chest tumor .

Description

technical field [0001] The invention relates to the technical field of kits, in particular to a kit for predicting the clinical progression of lung injury after radiotherapy in patients with thoracic tumors. Background technique [0002] Lung cancer is one of the most common malignant tumors, with about 1.61 million new cases worldwide each year, accounting for 13% of all tumors. There are about 1.38 million deaths worldwide each year, accounting for 18% of all cancer deaths. Lung cancer is also the malignant tumor with the highest morbidity and mortality in my country. Esophageal cancer is a common digestive tract tumor, and about 300,000 people worldwide die from esophageal cancer every year. Its morbidity and mortality vary widely from country to country. my country is one of the areas with a high incidence of esophageal cancer in the world, with an average of 150,000 deaths per year. Breast cancer is the most common malignancy in women. According to the latest data,...

AI Technical Summary

Problems solved by technology

Unfortunately, so far, there is no similar preclinical evaluation system using cytokines for predicting the degree and nature of RILI

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