Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies
Question Does the diagnostic performance of a 3D multiparametric ultrasound-based AI model translate from voxel-level training to patient-level biopsy simulation? Findings Simulated biopsy performance aligned with voxel-level results, showing robust csPCa detection and supporting the model's generalizability across independent datasets. Clinical relevance The AI model's consistent biopsy simulation performance confirms its readiness for clinical evaluation and suggests diagnostic value in MRI-constrained settings.
Authors
- Jorg R. Oddens (ORCID: https://orcid.org/0000-0002-6079-5613)
- Johannes B. Reitsma (ORCID: https://orcid.org/0000-0003-4026-4345)
- Anna Garrido‐Utrilla (ORCID: https://orcid.org/0000-0002-8074-6739)
- Joost de Baaij
- Henk G. van der Poel (ORCID: https://orcid.org/0000-0002-8772-1120)
- K.C.C. de Bie (ORCID: https://orcid.org/0000-0002-6892-8943)
- Hessel Wijkstra (ORCID: https://orcid.org/0000-0002-4127-4169)
- Marije J. Zwart
- Massimo Mischi (ORCID: https://orcid.org/0000-0002-1179-5385)
- Arnoud W. Postema (ORCID: https://orcid.org/0000-0003-0629-871X)
- Auke Jager (ORCID: https://orcid.org/0000-0003-3937-7262)
- Harrie P. Beerlage (ORCID: https://orcid.org/0000-0001-8422-2441)
- Jean‐Paul A. van Basten (ORCID: https://orcid.org/0000-0002-8149-5599)
- Daniël L. van den Kroonenberg (ORCID: https://orcid.org/0000-0001-8448-4193)
- Florian Delberghe (ORCID: https://orcid.org/0009-0000-2937-9796)
Institutions
- Utrecht University (NL)
- Dutch Cancer Society (NL)
- Leiden University Medical Center (NL)
- Angiogenesis Foundation (US)
- The Netherlands Cancer Institute (NL)
- University Medical Center Utrecht (NL)
- Amsterdam Neuroscience (NL)
- Canisius-Wilhelmina Ziekenhuis (NL)
- Amsterdam University Medical Centers (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- European Radiology
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1007/s00330-025-12114-x
- Citations
- 3
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- European Commission