Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
651-01-005 / 651-01-005 ISMRM Abstract

The performance of MR cytometry imaging in differentiating high- and low-grade bladder cancer

Accepted
Li Chen 1, Chaoyang Jin2, Erjia Guo1, Fan Liu3, Xiaoyu Jiang2,4, Zhengyu Jing1, Junzhong Xu5,6, Hua Guo3, Gumuyang Zhang1, Huadan Xue1, Diwei Shi7,8, Hao Sun1
1Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, United States of America
3Tsinghua University, Beijing, China
4Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, United States of America
5Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, United States of America
6Department of Biomedical Engineering, Vanderbilt University, Nashville, United States of America
7Research Institute of Tsinghua University in Shenzhen, China
8Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, China
Presenting Author: Li Chen

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References

1. Lopez-Beltran A, Cookson MS, Guercio BJ, Cheng L. Advances in diagnosis and treatment of bladder cancer. BMJ. 2024;384:e076743. Published 2024 Feb 12. doi:10.1136/bmj-2023-076743 [doi]
2. Popli S, Durant AM, Tyson M, Singh P. Current State of Bladder Preservation in High Grade Non-Muscle Invasive Bladder Cancer and Localized Muscle Invasive Bladder Cancer. Curr Oncol Rep. 2025;27(6):761-773. doi:10.1007/s11912-025-01657-3 [doi]
3. Yoshida S, Takahara T, Kwee TC, Waseda Y, Kobayashi S, Fujii Y. DWI as an Imaging Biomarker for Bladder Cancer. AJR Am J Roentgenol. 2017;208(6):1218-1228. doi:10.2214/AJR.17.17798 [doi]
4. Liu F, Wu L, Luo X, et al. Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors. J Magn Reson Imaging. 2025;62(2):521-533. doi:10.1002/jmri.29757 [doi]
5. Zhao Y, Zhao F, Cheng M, et al. Risk Stratification Prediction of Endometrial Cancer Using Microstructural Mapping Based on Time-Dependent Diffusion MRI. Cancer Sci. 2025;116(6):1627-1637. doi:10.1111/cas.70036 [doi]
6. Wu D, Jiang K, Li H, et al. Time-Dependent Diffusion MRI for Quantitative Microstructural Mapping of Prostate Cancer. Radiology. 2022;303(3):578-587. doi:10.1148/radiol.211180 [doi]

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