Radiomics in prostate cancer: an up-to-date review. (July 2022)

• Record Type: Journal Article
• Authors: Ferro, Matteo; de Cobelli, Ottavio; Musi, Gennaro; del Giudice, Francesco; Carrieri, Giuseppe; Busetto, Gian Maria; Falagario, Ugo Giovanni; Sciarra, Alessandro; Maggi, Martina; Crocetto, Felice; Barone, Biagio; Caputo, Vincenzo Francesco; Marchioni, Michele; Lucarelli, Giuseppe; Imbimbo, Ciro; Mistretta, Francesco Alessandro; Luzzago, Stefano; Vartolomei, Mihai Dorin; Cormio, Luigi; Autorino, Riccardo; Tătaru, Octavian Sabin
• Is Part Of: Therapeutic advances in urology. Volume 14(2022)
• Publication Date: 2022-07
• Subjects: artificial intelligence -- MRI -- PET-CT -- prostate cancer -- radiomics; Urology -- Periodicals; Urologic Diseases -- therapy -- Periodicals; Genital Diseases, Male -- therapy -- Periodicals; Urologie -- Périodiques; 616.6005
• DOI: 10.1177/17562872221109020
• Languages: English
• ISSNs: 1756-2872

Abstract

Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.