Progress on radiomics and radiogenomics and their applications in breast cancer:A survey  

作　　者：Xuan Cao Ming Fan Lihua Li 

机构地区：[1]Institute of Biomedical Engineering and Instrumentation,Hangzhou Dianzi University,Hangzhou,China

出　　处：《Data Science and Informetrics》2023年第4期86-108,共23页数据科学与信息计量学（英文）

摘　　要：Radiomics is an emerging analytical approach in the medical field that extracts high-throughput quantitative features from multiple imaging data and builds models for cancer diagnosis,prog-nosis,and treatment by machine learning or deep learning.Radiomics allows radiologists to ob-tain a more complete picture of the tumor in a noninvasive way than by reading radiographs.Radiogenomics incorporates genomics on top of radiomics to analyze the potential relationship between imaging features and tumor genetic status,enabling biological profiling of the causes of tumor heterogeneity,and its development of biomarkers will be of great help for personal-ized treatment.Breast cancer is the most prevalent cancer among women worldwide today,and this survey aims to summarize the progress on radiomics and radiogenomics,their applications in breast cancer,and discuss the issues that need to be addressed before radiomics and radio-genomics can be used in clinic.From the literature,it can be concluded that radiomics and ra-diogenomics have a high potential for differentiating malignant and benign breast lesions to as-sess breast cancer types and lymph node status,as well as to predict neoadjuvant chemotherapy response,risk of recurrence and survival outcomes,especially in the context of the rapid devel-opment of artificial intelligence technologies,promising early realization of precision medicine.

关 键 词：Radiomics Radiogenomics Breast cancer Application Medical image 

分 类 号：R73[医药卫生—肿瘤]