Research progress of radiomics in molecular typing and tumor microenvironment of breast cancer
LIN Li-fu
LIU Zi-lin
LIU Yu-shuang
CHEN Xiao-dong
Abstract：The incidence of breast cancer is the highest among female malignant tumors worldwide.With the development of science and technology,the diagnostic methods for breast diseases have evolved from traditional reading diagnosis to artificial intelligence-assisted diagnosis.This includes the utilization of radiomics,machine learning,and deep learning technologies.Radiomics is a quantitative analysis technique that comprehensively uses multimodal medical imaging data.Its objective is to extract and analyze a multitude of features in images and correlate them with clinical,pathological,molecular,and other data.This correlation allows for personalized disease diagnosis,prediction,and treatment strategy formulation.This article aims to review the progress of radiomics in breast cancer research,with a specific focus on the identification of molecular subtypes and the exploration of the tumor microenvironment.
Keywords：radiomicsbreast cancermolecular subtypestumor microenvironment
Publication Date：2024-04-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 209-213 )