Colorectal cancer prognosis prediction method and equipment based on imaging omics

Abstract

The embodiment of the invention provides a colorectal cancer prognosis prediction method and equipment based on imaging omics. The method comprises the steps of extracting preset imaging omics features in a medical image of a patient suffering from colorectal cancer, determining an imaging omics score according to the preset imaging omics characteristics, wherein the imaging omics score is used for representing the survival risk degree of the patient, and obtaining a prognosis prediction result of the patient according to the imaging omics score and the pathological factor of the patient. According to the method provided by the embodiment of the invention, the imaging omics score is determined by acquiring the imaging omics characteristics in the medical image of the colorectal cancer patient, and then the prognosis prediction result of the patient is obtained according to the imaging omics score and the pathological factors of the patient, so that preoperative effective intervention and postoperative prediction can be performed on the colorectal cancer patient inexpensively and noninvasively.

Description

technical field [0001] The present application relates to the field of medical image processing, in particular, to a method and equipment for predicting the prognosis of colorectal cancer based on radiomics. Background technique [0002] Colorectal cancer (CRC) is one of the most common cancers and the third leading cause of cancer-related death worldwide. Although some new advances have been made in the field of cancer treatment in recent years, the 5-year overall survival rate of colorectal cancer is still less than 60%. In the past, the treatment plan for colorectal cancer was mainly determined based on clinicopathological factors such as TNM stage, tumor size, and degree of differentiation, without fully considering the heterogeneity of the tumor. In recent years, with the decline of sequencing costs and the development of bioinformatics analysis methods, gene molecular markers have become the most commonly used and most studied cancer-related molecular markers. [000...

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Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a radiomics-based colorectal cancer prognosis prediction method and equipment, which are used to improve the existing genetic detection methods that need to bear the trauma and risk of detection in the prognosis prediction of colorectal cancer, or cannot be based on Issues such as effective intervention before the operation based on test results

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