无线电技术
放射基因组学
组学
医学
鉴定(生物学)
精密医学
医学物理学
免疫疗法
癌症
叙述性评论
癌症免疫疗法
生物信息学
病理
内科学
重症监护医学
生物
放射科
植物
作者
Michele Porcu,Cinzia Solinas,Lorenzo Mannelli,Giulio Micheletti,Matteo Lambertini,Karen Willard-Gallo,Emanuele Neri,Adam E. Flanders,Luca Saba
标识
DOI:10.1016/j.critrevonc.2020.103068
摘要
In recent years the concept of precision medicine has become a popular topic particularly in medical oncology. Besides the identification of new molecular prognostic and predictive biomarkers and the development of new targeted and immunotherapeutic drugs, imaging has started to play a central role in this new era. Terms such as “radiomics”, “radiogenomics” or “radi…-omics” are becoming increasingly common in the literature and soon they will represent an integral part of clinical practice. The use of artificial intelligence, imaging and “-omics” data can be used to develop models able to predict, for example, the features of the tumor immune microenvironment through imaging, and to monitor the therapeutic response beyond the standard radiological criteria. The aims of this narrative review are to provide a simplified guide for clinicians to these concepts, and to summarize the existing evidence on radiomics and “radi…-omics” in cancer immunotherapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI