Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Pelvic MRI: Bladder, Endometrium, and Rectum

Pelvic MRI: Bladder, Endometrium, and Rectum

Power Pitch

Body

Thursday, 14 May 2026

Power Pitch Theatre 1

08:30 - 10:06

Moderators: Andreas Loening

Session Number: 651-01

No CME/CE Credit

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This session summarizes MRI technology (including T1 mapping, DKI, APT, IVIM, and ASL, and 31P-3D-MRSI) for diagnosis and prediction of outcome in rectal cancer, bladder cancer, and endometrial cancer.

Skill Level: Intermediate

08:30		651-01-001. Multiparametric MRI-Based Habitat Imaging for Non-Invasive Risk Stratification in Endometrial Carcinoma: A Multi-Center Study Yunzhu Wu, Qiu Bi, Shenghong Ju Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China Impact: This study demonstrates that habitat imaging can capture key biological heterogeneity and support preoperative, non-invasive EC risk assessment and prognosis prediction at the celluar level.
08:32		651-01-002. The Value of DKI and APTw for Preoperative Evaluation of Microsatellite Instability in Endometrial Adenocarcinoma Lingyu Chang, Xiukai Zhao, Lianhua Cheng, Pu-Yeh Wu, Xinghua Xu, Liang Du, Xiangshui Meng, Fang Wang Qilu Hospital of Shandong University, Jinan, China Impact: The integration of DKI and APTw imaging offers a robust noninvasive approach for preoperative MSI assessment in endometrial adenocarcinoma, potentially guiding individualized therapeutic strategies and improving prognostic evaluation.
08:34		651-01-003. MR Cytometry in Guiding Fertility Preservation in Endometrial Malignancy Jiarui Zhang, Diwei Shi, Cheuk Nam Hwang, Fan Liu, Zongshu WANG, Thorsten Feiweier, Juan Wei, Hua Guo, Elaine Yuen Phin Lee The University of Hong Kong, Hong Kong, China Impact: MR cytometry enables non-invasive detection of the microstructural parameters of endometrial carcinoma, enhancing our understanding of the intricate relationship between the tumor and its microenvironment, providing opportunities for disease characterisation and guiding treatment.
08:36		651-01-004. Bladder MRI on a High-Performance System versus a Standard 3T System: A Quantitative and Qualitative Head-to-Head Comparison Erjia Guo, Li Chen, Gumuyang Zhang, Hao Sun, Jinxia ZHU, xiaoming Liu, Xiaoye Wang, Zhengyu Jing Peking Union Medical College Hospital, Beijing, China Impact: The high-performance Cima.X system significantly improves both quantitative and qualitative image aspects of bladder MRI. These improvements may strengthen diagnostic confidence and accuracy in clinical practice.
08:38		651-01-005. The performance of MR cytometry imaging in differentiating high- and low-grade bladder cancer Li Chen, Chaoyang Jin, Erjia Guo, Fan Liu, Xiaoyu Jiang, Zhengyu Jing, Junzhong Xu, Hua Guo, Gumuyang Zhang, Huadan Xue, Diwei Shi, Hao Sun Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China Impact: MR cytometry offers a noninvasive method to differentiate high- and low-grade bladder cancer. The intracellular volume fraction (Vin) is a powerful predictor, and a combined model improves accuracy, potentially reducing reliance on invasive procedures and enabling more personalized treatment planning.
08:40		651-01-006. Multi-pool model-based CEST imaging for evaluating lymphovascular space invasion and recurrence risk in endometrial carcinoma Yasukage Takami, Takashi Norikane, Kenji Kanenishi, Tatsuya Yamasaki, Mitsuharu Miyoshi, Yoshihiro Nishiyama Kagawa University, Kita-gun, Japan Impact: This study demonstrates that APT_T1 more accurately evaluates the lymphovascular space invasion status and recurrence risk in endometrial carcinoma than MTRasym and ADC, enabling preoperative risk stratification.
08:42		651-01-007. Exploring Arterial Spin Labeling for Bladder Cancer: Noninvasive Assessment of Tumor Aggressiveness and Muscle Invasion Shuang Qin, Jie Cheng, You Wu, Caixia Fu, Bernd Kuehn, Qi Lv Xuhui hospital, Fudan university, Shanghai, China Impact: First application of 3D-pCASL in bladder cancer: paired with RESOLVE-DWI, it offers contrast-free multiparametric MRI that accurately grades/stages tumors, improves bladder-preserving selection (including renal insufficiency), and spurs multicenter standardization, radiomics integration, and longitudinal, personalized monitoring.
08:44		651-01-008. Predicting Lymphovascular Space Invasion in Endometrial Cancer with an Advanced DWI and Clinical-Morphological Model Xiaoli Song, xiaoxiao zhang, Limei Guo, Jinliang Niu Second Hospital of Shanxi Medical University: Taiyuan, Shanxi, CN, Taiyuan, China Impact: By integrating advanced DWI biomarkers with routine clinical data, our model enhances predictive accuracy beyond what is possible with either modality alone. This can help clinicians more reliably identify high-risk patients, enabling better-informed decisions on the extent of surgery.
08:46		651-01-009. Comparative Analysis of APT and DWI for Assessing Ki-67, p53, and PD-L1 Expression in Bladder Cancer Jing-Lu Li, Yun Xu, Yong-Sheng Xiang, Peng Wu, Ai-Jun Shen, Pei-Jun Wang, Fang Wang Tongji University School of Medicine, Shanghai, China Impact: APT imaging offers a noninvasive biomarker for predicting bladder cancer aggressiveness and immune phenotype, potentially guiding personalized treatment decisions and reducing reliance on invasive biopsies.
08:48		651-01-010. ECV based on T1 mapping and ADC for assessment of tumor-stroma ratio in rectal cancer Jie Yuan, Mengxiao Liu, Wenli Tan, Songhua Zhan Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China Impact: ECV from T1 mapping enables non-invasive TSR assessment in rectal cancer, aiding risk stratification and treatment decision-making, with superior diagnostic performance over ADC.
08:50		651-01-011. Image Quality of 3D T2-Weighted MRI and Multi-Planar Reconstruction vs. Conventional 2D T2WI in Bladder Cancer Li Chen, Erjia Guo, Jinxia ZHU, Xiaoming Liu, Marcel Dominik Nickel, Gumuyang Zhang, Huadan Xue, Hao Sun Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China Impact: 3D isotropic T2WI of the bladder on Siemens Cima.X provides superior image quality and diagnostic reliability compared to conventional 2D T2WI, supporting its potential to streamline multiparametric MRI protocols and reduce total scan time without compromising diagnostic confidence.
08:52		651-01-012. The Value of Histogram Analysis Based on APTw MRI for Predicting Muscle-Invasive Bladder Cancer: A Comparison with DWI Shaoyu Huang, Li Tian Sun yat-sen university cancer center, Guangzhou, China Impact: This study emphasizes the potential of histogram-based habitat analysis of APTw MRI to differentiate muscle-invasive from non-muscle-invasive bladder cancer, thereby facilitating personalized treatment planning and precise clinical management.
08:54		651-01-013. MRI-based Radiomics and Deep Learning for Guiding Fertility-Preserving Treatment in Endometrial Cancer Yuhan Fang, Le Fu, Jiejun Cheng The First Maternal and Child Health Hospital of Shanghai, Shanghai, China Impact: Radiomics and DL models using intratumoral and peritumoral MRI were developed for detecting the presence or absence of myometrial invasion (MI). The Hybrid and Combined models achieved high accuracy, guiding fertility-sparing strategies.
08:56		651-01-014. MRI in Clinical Practice: Surgical Removal of Altis Anchor using MRI-Guided Site-Marking with Methylene Blue Sabrina Shih, Katherine Maturen, Ashley Skeith, Shane Wells, Thomas Chenevert, Daniel Morgan, Vikas Gulani University of Michigan, Ann Arbor, United States of America Impact: This case of a transvaginal removal of a radiolucent soft tissue anchor demonstrates the importance of preoperative MRI for surgical planning and the feasibility of pairing MRI-guidance with methylene blue dye marking to aid visualization of surgical targets.
08:58		651-01-015. MAGNETIC RESONANCE IMAGING PATTERNS OF PREMENOPAUSAL GYNAECOLOGICAL CONDITIONS AMONG WOMEN AT MUHIMBILI NATIONAL HOSPITAL Merciana Mliga, Zuhura Nkrumbih, Ramadhan Kazema, Amina Mbaga Muhimbili National Hospital, Tanzania Impact: This study reveals distinctive MRI patterns of gynecological conditions in premenopausal women, emphasizing MRI’s role in differentiating lesions. It paves the way for further research on regional diagnostic patterns, age and parity-related tumor characteristics, and their clinical implications.