Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI
AI-augmented lesion detection and scoring proved to be a robust tool in a multi-center setting with sensitivity comparable to the radiologists, even outperforming human reader specificity on both patient and lesion levels at a threshold of PI-RADS ≥3 and a threshold of PI-RADS ≥ 4 on lesion level. In anticipation of refinements of the algorithm and upon further validation, AI-detection could be implemented in the clinical workflow prior to human reading to exclude PCa, thereby drastically improving reading efficiency.
Authors
- Heinrich von Busch (ORCID: https://orcid.org/0000-0003-0469-1622)
- Konstantin Nikolaou (ORCID: https://orcid.org/0000-0003-2668-7325)
- Christopher Kloth (ORCID: https://orcid.org/0000-0001-9137-3678)
- Bastian Amend (ORCID: https://orcid.org/0000-0002-2039-8904)
- August Sigle (ORCID: https://orcid.org/0000-0001-6857-8149)
- Matthias Benndorf (ORCID: https://orcid.org/0000-0002-0407-1266)
- Fabian Bamberg (ORCID: https://orcid.org/0000-0002-7460-3942)
- Caroline Wilpert (ORCID: https://orcid.org/0000-0003-2375-2478)
- Judith Herrmann (ORCID: https://orcid.org/0000-0003-1535-8980)
- Daniel Vogele (ORCID: https://orcid.org/0000-0002-6421-1400)
- Benedict Oerther (ORCID: https://orcid.org/0000-0003-4267-3601)
- Meinrad Beer (ORCID: https://orcid.org/0000-0001-7523-1979)
- Christian Bolenz (ORCID: https://orcid.org/0000-0002-6171-6040)
- Robert Grimm (ORCID: https://orcid.org/0000-0002-1233-8215)
- Andrea Nedelcu (ORCID: https://orcid.org/0009-0000-6812-5334)
- Hannes Engel (ORCID: https://orcid.org/0000-0003-1985-325X)
- Christopher L. Schlett (ORCID: https://orcid.org/0000-0002-1576-1481)
Institutions
- University of Freiburg (DE)
- Bielefeld University (DE)
- University Medical Center Freiburg (DE)
- Klinikum Lippe (DE)
- Siemens Healthineers (Germany) (DE)
- University Hospital Ulm (DE)
Publication Details
- Journal
- Cancers
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/cancers17050815
- Citations
- 4
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07