Radiogenomics influence on the future of prostate cancer risk stratification.

ABSTRACT: In an era of powerful computing tools, radiogenomics provides a personalized, precise approach to the detection and diagnosis in patients with prostate cancer (PCa). Radiomics data are obtained through artificial intelligence (AI) and neural networks that analyze imaging, usually MRI, to assess statistical, geometrical, and textural features of images to provide quantitative data of shape, heterogeneity, and intensity of tumors. Genomics involves assessing the genomic markers that are present from tumor biopsies. In this article, we separately investigate the current landscape of radiomics and genomics within the realm of PCa and discuss the integration and validity of both into radiogenomics using the data from three papers on the topic. We also conducted a clinical trials search using th

SUBMITTER: Banerjee V 

PROVIDER: S-EPMC9490455 | biostudies-literature | 2022 Jan-Dec

REPOSITORIES: biostudies-literature