Prospective Validation of Hybrid Multidimensional MRI for Prostate Cancer Detection using Targeted Biopsy: Comparison with PIRADS
Motivation: Quantitative tools may improve PCa diagnosis Goal(s): The purpose of this study is to evaluate the effectiveness of an automated HM-MRI-based tool to prospectively identify targets before MR-US fusion biopsy in comparison with PIRADS based evaluation by expert radiologists. Approach: Patients underwent 3T mpMRI along with HM-MRI. Patients received 12-core TRUS-guided sextant random biopsy. Additional biopsy targets selected by radiologist (≥PI-RADS 3) and suspected PCa based on HM-MRI were biopsied, using a Uronav MR-US fusion biopsy device. Results: The diagnostic performance of HM-MRI for diagnosing clinically significant cancers (≥Gleason 3+4), was either higher than, or on par with that of mpMRI. Impact: HM-MRI provides automated, quantitative image interpretation, standardized image acquisition, and reproducible results that improves MR-US fusion biopsy by providing more reliable detection of csPCa compared to PIRADS based evaluation by expert radiologists and potentially reduce the number of unnecessary biopsies.
Authors
- Aytekin Oto (ORCID: https://orcid.org/0000-0003-4325-2489)
- Ambereen Yousuf (ORCID: https://orcid.org/0000-0002-0475-9087)
- Aritrick Chatterjee (ORCID: https://orcid.org/0000-0003-4022-7106)
- Carla Harmath (ORCID: https://orcid.org/0000-0002-6521-9498)
- Gregory S. Karczmar (ORCID: https://orcid.org/0000-0002-2455-5858)
- Roger Engelmann (ORCID: https://orcid.org/0000-0002-3898-8478)
- Luke Reynold
- Mihai Guircanu
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0801
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00