Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
463-06-010 ISMRM Abstract

A Biparametric MRI-based Deep Transfer Learning and Radiomics Model for Diagnosing Clinically Significant Prostate Cancer

Primary: Analysis Methods - Classification and Prediction
Secondary: Body - Prostate
463-06-010 · Image Analysis for Cancer · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row D
Keywords: Diagnosis/Prediction Radiomics Clinically significant prostate cancer 2.5D deep learning Biparametric Magnetic Resonance Imaging
Accepted
Xuelian Zhao1, NING ZHANG2, fei jia 1, Guang Y Liu1, Yanli Jiang1, Jing Zhang1, Kai AI3
1The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
2Department of Magnetic Resonance, Lanzhou, China
3Clinical and Technical Support, Philips Healthcare (Xi'an), Xi'an, China
Presenting Author: fei jia

Synopsis

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References

1. Rodrigues AC, de Almeida JG, Rodrigues N, Moreno R, Castro Verde AS, Mascarenhas Gaivão A, Bilreiro C, Santiago I, Ip J, Belião S, Silva S, Domingues I, Tsiknakis M, Marias K, Regge D, Papanikolaou N; ProCAncer-I Consortium. Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study. Radiol Imaging Cancer. 2025 Sep;7(5):e240507. doi: 10.1148/rycan.240507. PMID: 40815224; PMCID: PMC12492419. [doi] [pmid]
2. Liu X, Liu R, He H, Yan Y, Zhang L, Zhang Q. Multi-regional Multiparametric Deep Learning Radiomics for Diagnosis of Clinically Significant Prostate Cancer. J Imaging Inform Med. 2025 Aug 29. doi: 10.1007/s10278-025-01551-1. Epub ahead of print. PMID: 40879858. [doi] [pmid]
3. Johnson PM, Tong A, Ginocchio L, Del Hoyo JL, Smereka P, Harmon SA, Turkbey B, Chandarana H. External evaluation of an open-source deep learning model for prostate cancer detection on bi-parametric MRI. Eur Radiol. 2025 Aug 3. doi: 10.1007/s00330-025-11865-x. Epub ahead of print. PMID: 40753327. [doi] [pmid]
4. Umapathy L, Johnson PM, Dutt T, Tong A, Chopra S, Sodickson DK, Chandarana H. Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies. Invest Radiol. 2025 Jun 30:10.1097/RLI.0000000000001218. doi: 10.1097/RLI.0000000000001218. Epub ahead of print. PMID: 40586610; PMCID: PMC12336996. [doi] [pmid]
5. Nakrour N, Cochran RL, Mercaldo ND, Bradley W, Tsai LL, Prajapati P, Grimm R, von Busch H, Lo WC, Harisinghani MG. Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI. Clin Imaging. 2025 Jun;122:110484. doi: 10.1016/j.clinimag.2025.110484. Epub 2025 Apr 15. PMID: 40267741. [doi] [pmid]
6. Lee YJ, Moon HW, Choi MH, Eun Jung S, Park YH, Lee JY, Kim DH, Eun Rha S, Kim SH, Lee KW, Choi YJ, Lee YS, Lee W, Lee S, Grimm R, von Busch H, Han D, Lou B, Kamen A. MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study. Radiology. 2025 Mar;314(3):e232788. doi: 10.1148/radiol.232788. PMID: 40067105. [doi] [pmid]
7. Zhao W, Hou M, Wang J, Song D, Niu Y. Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features. BMC Med Imaging. 2024 Dec 30;24(1):353. doi: 10.1186/s12880-024-01548-2. PMID: 39736623; PMCID: PMC11684284. [doi] [pmid]
8. Morote J, Borque-Fernando A, Triquell M, Celma A, Regis L, Mast R, de Torres IM, Semidey ME, Santamaría A, Planas J, Esteban LM, Trilla E. Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer. Cancers (Basel). 2022 Apr 5;14(7):1828. doi: 10.3390/cancers14071828. PMID: 35406600; PMCID: PMC8997549. [doi] [pmid]
9. Li T, Sun L, Li Q, Luo X, Luo M, Xie H, Wang P. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions. Front Oncol. 2022 Jan 26;11:825429. doi: 10.3389/fonc.2021.825429. PMID: 35155214; PMCID: PMC8825569. [doi] [pmid]

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http://echo.ismrm.org/p/ISMRM2026/463-06-010