Evaluating an AI-driven Triaging Workflow for MRI-based Clinically Significant Prostate Cancer Diagnosis: A Simulation Study

Radiology Imaging Cancer 2026 Open access

Read full text
Authors: Jasper J. Twilt, Anindo Saha, Joeran S. Bosma, Gianluca Giannarini, Anwar R. Padhani, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, H. J. Huisman, Maarten de Rooij, Anindo Saha
+88 more Joeran S. Bosma, Jasper J. Twilt, Bram van Ginneken, Constant R. Noordman, Ilse Slootweg, Christian Roest, Stefan J. Fransen, Mohammed R. S. Sunoqrot, Tone F. Bathen, Dennis B. Rouw, Jos Immerzeel, Jeroen Geerdink, Chris van Run, Miriam Groeneveld, James Meakin, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, H. J. Huisman, Anders Bjartell, Anwar R. Padhani, David Bonekamp, Geert Villeirs, Georg Salomon, Gianluca Giannarini, H. J. Huisman, Jayashree Kalpathy-Cramer, Jelle Barentsz, Klaus H. Maier-Hein, Mattijs Elschot, Mirabela Rusu, Nancy A. Obuchowski, Olivier Rouvière, Roderick van den Bergh, Valeria Panebianco, Veeru Kasivisvanathan, Ahmet Karagöz, Alexandre Bône, Alexandre Routier, Arnaud Marcoux, Clément Abi-Nader, Cynthia Li, Dagan Feng, Deniz Alış, Ercan Karaarslan, Euijoon Ahn, François Nicolas, Geoffrey A. Sonn, Indrani Bhattacharya, Jinman Kim, Jun Shi, Hassan Jahanandish, Hong An, Hongyu Kan, Ilkay Oksuz, Liang Qiao, Marc-Michel Rohé, Mert Yergin, Mirabela Rusu, Mohamed Khadra, Mustafa Ege Şeker, Mustafa Said Kartal, Noëlie Debs, Richard E. Fan, Sara Saunders, Simon John Christoph Soerensen, Stefania Moroianu, Sulaiman Vesal, Yuan Yuan, Afsoun Malakoti-Fard, Agnė Mačiūnien, Akira Kawashima, Ana M. M. de M. G. de Sousa Machadov, Ana Sofia L. Moreira, Andrea Ponsiglione, Annelies Rappaport, Arnaldo Stanzione, Arturas Ciuvasovas, Baris Turkbey, Bart De Keyzer, Bodil Ginnerup Pedersen, Bram Eijlers, Christine Chen, Ciabattoni Riccardo, Deniz Alış, Ewout F.W. Courrech Staal
DOI: 10.1148/rycan.250461
Cited by: 4
References: 35

Abstract

A simulated artificial intelligence–driven triaging workflow for clinically significant prostate cancer diagnosis at MRI triaged 49% of examinations, improving specificity while maintaining radiologist-level sensitivity.

Fields of Study & Subjects

Prostate Cancer Diagnosis and Treatment Artificial Intelligence in Healthcare and Education AI in cancer detection

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e250461–e250461
Publication date
10 April 2026
Language
EN