602-02-007 ISMRM Abstract

Deep Learning-Based Detection of Clinically Significant Prostate Cancer from Degraded MRI

Primary: Body - Prostate

Secondary: Analysis Methods - Classification and Prediction

602-02-007 · Prostate MRI: Methodological Developments · Thursday, 14 May, 1:40 PM–3:30 PM · Hall 1B

Keywords: Diagnosis/Prediction Prostate MRI Accessible MR

Accepted

Patricia M Johnson ¹, Tarun Dutt¹, Angela Tong¹, Luke Ginocchio¹, Lavanya Umapathy¹, Sumit Chopra¹, Daniel K Sodickson¹, Hersh Chandarana¹

¹New York University Grossman School of Medicine, New York, United States of America

Presenting Author: Patricia M Johnson

Synopsis

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References

1. Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, Collaco-Moraes Y, Ward K, Hindley RG, Freeman A, Kirkham AP, Oldroyd R, Parker C, Emberton M; PROMIS study group. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017 Feb 25;389(10071):815-822. doi: 10.1016/S0140-6736(16)32401-1. [doi]

2. Eklund, M. et al. MRI-Targeted or Standard Biopsy in Prostate Cancer Screening. N. Engl. J. Med. 385, 908–920 (2021).

3. P. M. Johnson, T. Dutt, L. A. Ginocchio, et al., “ Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI ,” Journal of Magnetic Resonance Imaging 62, no. 3 (2025): 858–866, https://doi.org/10.1002/jmri.29798. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/602-02-007