Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
403-02-008 ISMRM Abstract

Synthetic Contrast-Enhanced T1 MRI from Non-Contrast MRI Using Pix2pix GAN for Endometrial Cancer: A Multicenter Study

Primary: Body - Uterus
Secondary: Acquisition & Reconstruction - AI methods
403-02-008 · AI-Enabled Image Synthesis and Translation · Tuesday, 12 May, 1:40 PM–3:30 PM · Auditorium 1
Keywords: Endometrial Cancer Magnetic Resonance Imaging (MRI) Deep learning Synthetic Contrast-enhanced MRI
Accepted
Wenyi Yue 1, Haijie Wang2, Mingxiang Wei3, Xiaoyun Liang2, Qi Yang3,4,5,6
1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, beijing, China
2Institute of Research and Clinical Innovations, Neusoft Medical Systems Co.(Beijing,CN), Ltd, Beijing, China
3Beijing Chaoyang Hospital, Capital Medical University, beijing, China
4Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
5Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
6Department of Radiology, Beijing Chao-Yang Hospital, Beijing, China
Presenting Author: Wenyi Yue

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References

1. LEFEBVRE T L, UENO Y, DOHAN A, et al. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer [J]. Radiology, 2022, 305(2): 375-86.doi: 10.1148/radiol.212873 [doi]
2. OAKNIN A, BOSSE T J, CREUTZBERG C L, et al. Endometrial cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up [J]. Annals of oncology : official journal of the European Society for Medical Oncology, 2022, 33(9): 860-77. doi:10.1016/j.annonc.2022.05.009 [doi]
3. RAMALHO J, SEMELKA R C, RAMALHO M, et al. Gadolinium-Based Contrast Agent Accumulation and Toxicity: An Update [J]. AJNR American journal of neuroradiology, 2016, 37(7): 1192-8. doi:10.3174/ajnr.A4615IF: 3.7 Q1 . [doi]
4. HUANG H, MO J, DING Z, et al. Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer [J]. Radiology, 2025, 314(1): e240238. doi: 10.1148/radiol.240238 [doi]
5. PORTER K K, KING A, GALGANO S J, et al. Financial implications of biparametric prostate MRI [J]. Prostate cancer and prostatic diseases, 2020, 23(1): 88-93. doi:10.1038/s41391-019-0158-x [doi]
6. NARAYANA P A, CORONADO I, SUJIT S J, et al. Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI [J]. Radiology, 2020, 294(2): 398-404.doi: 10.1148/radiol.2019191061 [doi]
7. CHUNG M, CALABRESE E, MONGAN J, et al. Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer [J]. Radiology, 2023, 306(3): e213199.

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http://echo.ismrm.org/p/ISMRM2026/403-02-008