| Literature DB >> 34797688 |
Hwan-Ho Cho1,2, Chan Kyo Kim3, Hyunjin Park2,4.
Abstract
Recent advancements in imaging technology and analysis methods have led to an analytic framework known as radiomics. This framework extracts comprehensive high-dimensional features from imaging data and performs data mining to build analytical models for improved decision-support. Its features include many categories spanning texture and shape; thus, it can provide abundant information for precision medicine. Many studies of prostate radiomics have shown promising results in the assessment of pathological features, prediction of treatment response, and stratification of risk groups. Herein, we aimed to provide a general overview of radiomics procedures, discuss technical issues, explain various clinical applications, and suggest future research directions, especially for prostate imaging.Entities:
Mesh:
Year: 2021 PMID: 34797688 PMCID: PMC8978251 DOI: 10.1259/bjr.20210539
Source DB: PubMed Journal: Br J Radiol ISSN: 0007-1285 Impact factor: 3.039