A machine learning based delta-radiomics process for early prediction of treatment response from prostate specific antigen (PSA) decline in prostate cancer patients under SBRT using magnetic resonance guided radiotherapy (MRGRT)

Stefania Naccarato; Michele Rigo; N. Bianchi; Riccardo Filippo Borgese; A. De Simone; Davide Gurrera; Gianluisa Sicignano; G.A. Allegra; C. De-Colle; L. Nicosia; N. Giaj--Levra; E. Pastorello; F. Ricchetti; Carolina Orsatti; A. Romei; F. Alongi; R. Ruggieri

doi:10.1016/j.ejmp.2025.105620

A machine learning based delta-radiomics process for early prediction of treatment response from prostate specific antigen (PSA) decline in prostate cancer patients under SBRT using magnetic resonance guided radiotherapy (MRGRT)

Physica Medica 2026

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Authors: Stefania Naccarato, Michele Rigo, N. Bianchi, Riccardo Filippo Borgese, A. De Simone, Davide Gurrera, Gianluisa Sicignano, G.A. Allegra, C. De-Colle, L. Nicosia, N. Giaj--Levra, E. Pastorello

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F. Ricchetti, Carolina Orsatti, A. Romei, F. Alongi, R. Ruggieri

DOI: 10.1016/j.ejmp.2025.105620

Cited by: 0

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Advanced Radiotherapy Techniques Prostate Cancer Diagnosis and Treatment

Publication details

Journal / source: Physica Medica
Volume: 142
Pages: 105620–105620
Publication date: 1 February 2026
Language: EN