| Literature DB >> 33160001 |
Michelle Leech1, Sarah Osman2, Suneil Jain2, Laure Marignol3.
Abstract
Decisions on how to treat prostate cancer with radiation therapy are guideline-based but as such guidelines have been developed for populations of patients, this invariably leads to overly aggressive treatment in some patients and insufficient treatment in others. Heterogeneity within prostate tumors and in metastatic sites, even within the same patient, is believed to be a major cause of treatment failure. Radiomics biomarkers, more commonly referred to as radiomics 'features", provide readily available, cost-effective, non-invasive tools for screening, detecting tumors and serial monitoring of patients, including assessments of response to therapy and identification of therapeutic complications. Radiomics offers the potential to analyse whole tumors in 3D, as well as sub-regions or 'habitats' within tumors. Combining quantitative information from imaging with pathology, demographic details and other biomarkers will pave the way for personalised treatment selection and monitoring in prostate cancer. The aim of this review is to consider if MRI-based radiomics can bridge the gap between population-based management and personalised management of prostate cancer.Entities:
Keywords: Personalization; Prostate radiation therapy; Radiomics
Year: 2020 PMID: 33160001 DOI: 10.1016/j.canlet.2020.10.033
Source DB: PubMed Journal: Cancer Lett ISSN: 0304-3835 Impact factor: 8.679