System and method for predicting acute rejection of lung transplantation

Abstract

The invention provides a lung transplantation acute rejection prediction system and method, and the method comprises the steps: collecting the CT images of a plurality of historical patients subjected to lung transplantation before transplantation and the data of whether acute rejection occurs after transplantation, obtaining radiomics feature data to construct a test sample, training a neural network model through a training set, and obtaining a prediction result. Taking the test set as the input of the trained neural network model, and outputting a prediction result of whether each test sample in the test set has an acute rejection reaction; and based on the prediction result of each test sample in the test set and the corresponding real postoperative clinical data, drawing a subject working curve and an area under the curve to obtain the accuracy of the neural network model for predicting the acute rejection of lung transplantation. The non-invasive prediction system and method are established to accurately predict the acute rejection of lung transplantation so as to formulate an individualized immunosuppression scheme, so that the method has extremely high clinical value, injury examination is avoided, and the clinical value is met.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence and smart medical treatment, and in particular, to a system and method for predicting acute rejection of lung transplantation. Background technique [0002] In recent years, the number of lung disease patients in my country has been increasing, and lung cancer has become the cancer with the highest morbidity and mortality in my country and even in the world. For patients with advanced lung cancer, lung transplantation is currently the only effective method to prolong life expectancy and quality of life. The main reasons that affect the survival time and quality after transplantation are primary transplant lung function loss (Primary Graft Dysfunction, PGD), infection, rejection, and Bronchiolitis Obliterans Syndrome (BOS) and so on. Among them, acute rejection is a relatively common reaction after lung transplantation, and most of it occurs within the first year after surgery. Most...

AI Technical Summary

Problems solved by technology

[0005] Based on the above problems, this application proposes a system and method for predicting acute rejection of lung transplantation, aiming to solve technical problems such as the inability to predict acute rejection of lung transplantation in the prior art

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