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.

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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
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article

Prospective Validation of Hybrid Multidimensional MRI for Prostate Cancer Detection using Targeted Biopsy: Comparison with PIRADS

Aytekin Oto, Ambereen Yousuf, Aritrick Chatterjee, Carla Harmath et al.
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
Radiomics and Machine Learning in Medical Imaging
article

Prospective Validation of Hybrid Multidimensional MRI for Prostate Cancer Detection using Targeted Biopsy: Comparison with PIRADS

Aytekin Oto, Ambereen Yousuf, Aritrick Chatterjee, Carla Harmath, Gregory S. Karczmar, Roger Engelmann, Luke Reynold, Mihai Guircanu
article en

Abstract

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.

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
Openalex Percentile: Top 64%
Radiomics and Machine Learning in Medical Imaging
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