Prostate cancer heterogeneity: texture analysis score based on multiple magnetic resonance imaging sequences for detection, stratification and selection of lesions at time of biopsy.

Clément Orczyk (1, 2, 3, 4) , Arnauld Villers (5) , Henry Rusinek , Vincent Lepennec (6) , Celine Bazille (7) , Francesco Giganti (4) , Artem Mikheev (8) , Myriam Bernaudin (1) , Mark Emberton (4, 9) , Audrey Fohlen (6, 1) , Samuel Valable (1)

1 ISTCT - Imagerie et Stratégies Thérapeutiques des pathologies Cérébrales et Tumorales
2 UCLH - University College London Hospitals
3 Service d'Urologie [CHU Caen]
4 Division of Surgery and Interventional Science [London, UK]
5 Service d'Urologie, andrologie et transplantation rénale [CHRU Lille]
6 Service de Radiologie [CHU Caen]
7 Laboratoire d'Anatomie Pathologique [CHU Caen]
8 Department of Radiology, New York University Langone Medical Center, New York, NY
9 Charing Cross Hospital - Department of Urology [London, UK]

Mots clés: processing; MRI image; stratification; Detection; biopsy; PCSM; radiomics; Prostate Cancer

Domaines: Neurosciences

Clément Orczyk, Arnauld Villers, Henry Rusinek, Vincent Lepennec, Celine Bazille, et al.. Prostate cancer heterogeneity: texture analysis score based on multiple magnetic resonance imaging sequences for detection, stratification and selection of lesions at time of biopsy.. BJU International, 2019, 124 (1), pp.76-86. ⟨10.1111/bju.14603⟩. ⟨hal-02090243⟩