Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
602-02-002 / 271-01-017 ISMRM Abstract

Diffusion-Relaxation Correlation Spectroscopic MRI for Characterizing Prostate Cancer versus Whole-Mount Histopathology

Accepted
Elif Aygun 1,2, Zhaohuan Zhang1,2, Steven Raman1, Robert E Reiter1,3, Anthony E Sisk4, KyungHyun Sung1,2, Holden H Wu1,2
1David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America
2Department of Bioengineering, Samueli School of Engineering, University of California Los Angeles, Los Angeles, United States of America
3Department of Urology, University of California Los Angeles, Los Angeles, United States of America
4Department of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, United States of America
Presenting Author: Elif Aygun

Synopsis

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References

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2. Arumainayagam N, Ahmed HU, Moore CM, et al. Multiparametric MR Imaging for Detection of Clinically Significant Prostate Cancer: A Validation Cohort Study with Transperineal Template Prostate Mapping as the Reference Standard. Radiology. 2013;268(3):761-769. doi:10.1148/radiol.13120641 [doi]
3. Welch HG, Fisher ES, Gottlieb DJ, Barry MJ. Detection of Prostate Cancer via Biopsy in the Medicare–SEER Population During the PSA Era. JNCI J Natl Cancer Inst. 2007;99(18):1395-1400. doi:10.1093/jnci/djm119 [doi]
4. Moore CM, Robertson NL, Arsanious N, et al. Image-Guided Prostate Biopsy Using Magnetic Resonance Imaging–Derived Targets: A Systematic Review. Eur Urol. 2013;63(1):125-140. doi:10.1016/j.eururo.2012.06.004 [doi]
5. Imaging-guided Prostate Biopsy: Conventional and Emerging Techniques | RadioGraphics. Accessed December 28, 2024. https://pubs.rsna.org/doi/10.1148/rg.323115053?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
6. Chatterjee A, Antic T, Gallan AJ, et al. Histological validation of prostate tissue composition measurement using hybrid multi-dimensional MRI: agreement with pathologists’ measures. Abdom Radiol. 2022;47(2):801-813. doi:10.1007/s00261-021-03371-7 [doi]
7. Zhang Z. Quantitative Prostate Diffusion MRI and Multi-Dimensional Diffusion-Relaxation Correlation MRI for Characterization of Prostate Cancer. UCLA; 2023.
8. Johnston EW, Bonet-Carne E, Ferizi U, et al. VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient. Radiology. 2019;291(2):391-397. doi:10.1148/radiol.2019181749 [doi]
9. Ruan M, Liu Y, Yao K, et al. Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3. J Magn Reson Imaging. 2024;60(5):2130-2141. doi:10.1002/jmri.29275 [doi]
10. Kim DHS, Sonni I, Grogan T, et al. Quantitative 3-T Multiparametric MRI Parameters as Predictors of                     Aggressive Prostate Cancer. Radiol Imaging Cancer. 2025;7(1):e240011. doi:10.1148/rycan.240011 [doi]
11. Zhang Z, Wu HH, Priester A, et al. Prostate Microstructure in Prostate Cancer Using 3-T MRI with Diffusion-Relaxation Correlation Spectrum Imaging: Validation with Whole-Mount Digital Histopathology. Radiology. 2020;296(2):348-355. doi:10.1148/radiol.2020192330 [doi]
12. Wu HH, Priester A, Khoshnoodi P, et al. A system using patient-specific 3D-printed molds to spatially align in vivo MRI with ex vivo MRI and whole-mount histopathology for prostate cancer research. J Magn Reson Imaging. 2019;49(1):270-279. doi:10.1002/jmri.26189 [doi]
13. Kim D, Doyle EK, Wisnowski JL, Kim JH, Haldar JP. Diffusion-relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure. Magn Reson Med. 2017;78(6):2236-2249. doi:10.1002/mrm.26629 [doi]
14. Zhang Z, Shih SF, Sung KH, Raman S, Wu HH. Rapid In Vivo Prostate Microstructure MRI using Diffusion-Relaxation Correlation Spectrum Imaging with Random Matrix Theory-Based Denoising.31st Annual Meeting of International Society for Magnetic Resonance Imaging (ISMRM). Toronto, 2023.

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