Research progress of radiomics in the diagnosis and treatment of gastrointestinal stromal tumors
QIAO Jiling
ZHANG Zeping
SUI Changsheng
YANG Aijia
YANG Jing
Abstract：Gastrointestinal stromal tumor(GIST)is the most common mesenchymal tumor of the gastrointestinal tract,with complex biological characteristics and varying risk levels,thus early diagnosis and precise risk assessment are crucial for subsequent treatment.Imaging genomics can extract and analyze quantitative imaging features with strong representativeness from different modalities of imaging data,and complete the tasks of diagnosis and prediction by combining machine learning methods with clinical data.Studies have shown that imaging genomics can not only be used for differential diagnosis,risk stratification,and prognosis assessment of GIST,but also show potential in gene mutation status assessment and treatment response prediction.This review discussed the application of imaging genomics in early differential diagnosis,risk grading,gene mutation prediction,and treatment effect evaluation of GIST,and reported its limitations,in order to explore the future development directions.
Keywords：gastrointestinal stromal tumorradiomicsCTmachine learning
Publication Date：2024-11-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1249-1253 )