Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Malignant Tumor in the Body

Digital Poster

Body

Tuesday, 12 May 2026

Digital Posters Row D

16:00 - 16:55

Session Number: 463-05

No CME/CE Credit

Similar Sessions

This session include MRI and PET-MRI applications for diagnosis in breast cancer, prostate cancer, esophageal cancer, and pancreatic canceer.

Skill Level: Intermediate

		463-05-001. Diagnostic performance of MR imaging findings and quantitative values in the differentiation of BEOTs and type I EOC Mengshi Fang, Chao Wei, Mengxiao Liu The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China Impact: Mean ADC values of tumour solid tissue and maximal diameter of solid tissue were useful for differentiating BEOTs from type I EOC. These two indicators are readily available during routine pelvic MRI examinations and can aid in clinical decision making.
		463-05-002. PSMA-PET/MRI Tracers in Prostate Cancer Recurrence: Superior Sensitivity of [¹⁸F]F-PSMA-1007 at Low PSA Levels. Ingerid Knudtsen, Dorothea Druta-Barbatei, Bendik Abrahamsen, Trond Bogsrud, Miguel Castillejo, Mattijs Elschot, Hege Haugnes, Svein-Inge Helle, Eivor Hernes, Alfred Honore, Håkon Johansen, Thomas Keil, Sverre Langørgen, Anders Ringheim, Kirsten Selnæs, Andreas Tulipan, Torgrim Tandstad, Tone Bathen Norwegian University of Science and Technology, Trondheim, Norway Impact: This study supports [¹⁸F]F-PSMA-1007 as the preferred tracer for detecting recurrent prostate cancer at low PSA levels, potentially improving early localization and guiding salvage therapy decisions in clinical practice.
		463-05-003. DCE-MRI Identifies Responders: Post-Ktrans Outperforms in Predicting Pathologic Complete Response in Esophageal Carcinoma Jinrong Qu, Zihan Wang, Funing Chu, MENGZHU WANG, Robert Grimm, Wenshi Li The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China Impact: Post-K^trans provides a robust non-invasive imaging biomarker to accurately identify patients who achieve pCR, potentially supporting clinical decisions to omit surgery in favor of organ-preservation strategies, thereby reducing treatment morbidity without compromising oncological outcomes.
		463-05-004. Comparative evaluation of ZOOMit diffusion-weighted imaging and conventional DWI in esophageal cancer Gaorui Zhang, longjiang fang, Wenjuan Wang, Xiuwen Wu, Wenjing Zhao, Jiaxiang xin Weifang People's Hospital, Shandong Second Medical University, Weifang, China Impact: This study demonstrates that ZOOMit DWI enables clearer visualization of lesion characteristics and more accurate assessment, potentially enhancing the diagnostic efficiency of esophageal cancer and supporting more precise treatment planning.
		463-05-005. Transverse relaxation time and cellular proliferative activity in breast tumour on 3T using Bayesian two-compartment analysis Kangwa Nkonde, Sai Man Cheung, Nicholas Senn, Jiabao He Newcastle University, Newcastle upon Tyne, United Kingdom Impact: Transverse relaxation times from two-compartment model and Bayesian algorithm offers a potential marker of proliferative activity, supporting early and non-invasive approach for monitoring response to neoadjuvant therapy in breast cancer.
		463-05-006. Comparison of Conventional ADC Values and Params of FROC Model in Predicting Breast Lesion Benign/Malignant Yimeng Cao, Shaomin Li, Zhexuan Yang, Xueyan Liu, Meiying Cheng, Xin Zhao, Wenjia Wang The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China Impact: The study confirms the added value of FROC parameters in enhancing diagnostic accuracy for breast lesions, offering a new imaging biomarker for precise differentiation between benign and malignant breast pathology.
		463-05-007. Texture and Radiomic Feature Analysis in Breast MRI: Supervised Classification and Unsupervised Clustering of IDC and ILC Mohan Jayatilake, Senal Peiris, Dhevin Karunanayaka, Supundi Waidyarathna, Angela Choe, Sanjib Adhikary, Prasanna Karunanayaka The Pennsylvania State University, Hershey, Pennsylvania, United States of America Impact: Breast MRI radiomics accurately distinguished invasive ductal from lobular carcinoma using Random Forest classification. PCA-based clustering further revealed receptor-linked subgroups. Key radiomic features captured texture differences, demonstrating radiomics’ dual power in precise tumor classification and biologically meaningful, unsupervised subgroup discovery
		463-05-008. Utility of diffusion-weighted T2 mapping (DW-T2 mapping) for the diagnosis of breast cancer Mana Kato, Reiko Sakai, Masami Yoneyama, Yasutomo Katsumata, Michinobu Nagao, Yurie Shirai, shinya sudo, Tomiki Ieshima, takumi ogawa, Kazuo Kodaira, Yutaka Hamatani, isao shiina, YASUHIRO GOTO, Shuji Sakai Tokyo Women’s Medical University, Tokyo, Japan Impact: Diffusion-weighted T2 mapping might be useful as supportive information for the diagnosis of breast cancer.
		463-05-009. OGSE MRI for Tumor Grading of Colorectal Cancer: A Noninvasive Approach Xueyan Zhang, Yi Zhu The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: OGSE-MRI enables quantitative, noninvasive assessment of rectal tumor microstructure, effectively distinguishing histologic grades. This technique provides a promising imaging biomarker for preoperative risk stratification and could support precision treatment planning without the need for invasive biopsy.
		463-05-010. Preoperative prediction of muscle invasion and CK20 expression in bladder cancer using multi-model diffusion MRI Yang Lu, Lili Guo, Dong Han Impact: Multi-model diffusion MRI can predict muscle invasion and CK20 expression, enabling personalized treatment planning and reducing reliance on invasive biopsy.
		463-05-011. Improved Diagnosis of Prostate Cancer Through Native Integration of Hybrid Multi-Dimensional MRI With PSMA-PET Aritrick Chatterjee, Joseph Steiner, Ambereen Yousuf, Aytekin Oto, Gregory Karczmar, grace lee University of Chicago, Chicago IL, Chicago, United States of America Impact: Quantitative analysis and native integration of Hybrid Multi-Dimensional MRI (HM-MRI) and PSMA-PET has the potential to improve the diagnosis of prostate cancer and reveal tissue biology.
		463-05-012. Added Value of DKI and ADC for Enhancing PI-RADS v2.1 in Detecting Clinically Significant Prostate Cancer Zefei Chen, Yongzhou Xu, Yinquan Ye Intelligent Medical Imaging of Jiangxi Key Laboratory, Nanchang, China Impact: In this study, the diagnostic value of DKI parameters (MD, MK) and ADC values in identifying csPCa was compared. All these parameters could have the potential to be used in routine imaging diagnosis to improve the diagnostic performance of PI-RADS.
		463-05-013. MRMI assessment of therapeutic efficacy of P53-R175H targeting nanovaccine to treat pancreatic cancer Yanqing Wang, Yue Jiang, Hong Wang, Victoria Laney, Abhinav Acharya, Jordan Winter, Lily Li Wang, Zheng-Rong Lu Case Western Reserve University, Cleveland, United States of America Impact: This study non-invasively monitored tumor microenvironment changes during nanovaccine immunotherapy by using MT218 to image extra domain B fibronectin. The correlation between contrast enhancement patterns and therapeutic outcomes provides a new biomarker and mechanistic insight.