Radiomics and prostate MRI: Current role and future applications

Federica Vernuccio, Albert Comelli, Giuseppe Cutaia, Alessandro Stefano, Giuseppe La Tona, Cesare Gagliardo, Francesco Agnello, Massimo Midiri, Federica Vernuccio, Francesco Agnello, Alessandro Stefano, Natale Quartuccio, Gaspare Arnone, Albert Comelli, Letterio Sturiale, Mauro Calamia, Leonardo Salvaggio, Giuseppe Cutaia, Cesare Gagliardo, Giuseppe SalvaggioGiuseppe La Tona, Massimo Midiri, Guido Arnone, Leonardo Salvaggio, Mauro Calamia

Risultato della ricerca: Articlepeer review

Abstract

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine learning and deep learning) applied to the field of prostate cancer.
Lingua originaleEnglish
pagine (da-a)1-13
Numero di pagine13
RivistaJournal of Imaging
Volume7
Stato di pubblicazionePublished - 2021

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.1700.1704???
  • ???subjectarea.asjc.2200.2208???

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