Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Quantitative MRI Across the Body

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Quantitative MRI Across the Body
Digital Poster
Body
Tuesday, 12 May 2026
Digital Posters Row B
14:35 - 15:30
Session Number: 461-04
No CME/CE Credit
This session includes presentations that use quantitative imaging and related biomarkers in body applications.

  Figure 461-04-001.  Diffusion-weighted MRI of Abdominal Lymph-Nodes: Comparison between Crohn’s Disease and Healthy Volunteers
Maria Ralph, Iyad Naim, Gordon Moran, Caroline Hoad, Penny Gowland
University of Nottingham, Nottingham, United Kingdom
Impact: Crohn’s disease patients have lower abdominal lymph-node apparent diffusion coefficients and a greater number of enlarged lymph-nodes than healthy volunteers. Improved diffusion weighted imaging of abdominal lymph-nodes using gradient reversal may allow for longitudinal studies of lymph-nodes in Crohn’s disease.
  Figure 461-04-002.  Time-Dependent Diffusion MRI for Noninvasive Evaluation of the Immune Microenvironment in Cervical Cancer
Wei Wang, Wenchao Wang, Xiaoming Liu, Thorsten Feiweier, Yueluan jiang, Mengchao Zhang
China-Japan Union Hospital of Jilin University, Changchun, China
Impact: This study suggests td-dMRI can non-invasively assess tumor immune microenvironment, potentially guiding immunotherapy decisions and treatment monitoring for patients with cervical cancer enabling.
  Figure 461-04-003.  Separation of FNH and liver malignant tumors by a combination of T2 weighted signal and three diffusion MR metrics
DIANQI YAO, Caiying Li, Yixiang Wang
The Chinese University of Hong Kong, Shatin, Hong Kong
Impact: 
A combination of MRI T2 weighted imaging and diffusion imaging can differentiate liver focal nodular hyperplasia and liver malignant tumors.
  Figure 461-04-004.  Application of Time-dependent Diffusion MRI for Evaluation of Lymph Node Metastasis in Cervical Cancer
Tiebao Meng, Weijing Zhang, Meihan Duan, Haoqiang He, Jialu Zhang, Chuanmiao Xie
Sun yat-sen university cancer center, Guangzhou, China
Impact: We evaluated preoperative cervical cancer patients using time-dependent diffusion MRI-based microstructural mapping and found that it had great potential in predicting LNM, which can serve as a potential non-invasive biomarker for predicting LNM in CC.
  Figure 461-04-005.  Assessment of Renal Microstructure and Perfusion in Chronic Kidney Disease Using IVIM DWI
Qinzhe li, Zhou Ying, Wei Chen, Yi Yang, Rong Zou
Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
Impact: IVIM-DWI effectively quantifies renal perfusion and diffusion, revealing significant correlations with renal eGFR and ACR, thus serving as a sensitive, non-invasive biomarker for early detection and monitoring of chronic kidney disease.
  Figure 461-04-006.  Computed High b-Value Diffusion-Weighted Imaging for Prostate Cancer: Correlation of ADC with PSA on a 1.5 T MR-Linac
Satomi Higuchi, Jonathan Goodwin, Hilary Byrne, Michael Jameson, Jeremy de Leon
University of Newcastle, Newcastle, Australia
Impact: Computed high-b-value DWI enhances prostate lesion contrast on the MR-Linac in some cases and shows correlation between ADC and PSA, supporting its feasibility for treatment response assessment
  Figure 461-04-007.  Time-Dependent Diffusion MRI: application in the diagnosis of benign breast lesions, carcinoma in situ and invasive carcinoma
Yongjia Zeng, Qiuni Meng, Zejun Zhu, Yongzhou Xu, Chunling Liu
Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, GuangDong, Guangzhou, China
Impact: Our study reveals the value of microstructural parameters derived from time-dependent diffusion MRI in the diagnosis of breast masses, and this technology can be used for further research on topics such as tumor microenvironment.
  Figure 461-04-008.  Breast Diffusion-Weighted Multi-Shot EPI with Model-Based Deep Learning Reconstruction
Mart WJ van Straten, Chinmay Rao, Martijn Nagtegaal, Marcel Breeuwer, Matthias van Osch, Peter Börnert, Yiming Dong
Leiden University Medical Center, Leiden, Netherlands
Impact: Multi-shot EPI can achieve rapid, high-quality, distortion-free breast diffusion imaging without the need for navigators or signal averaging through AI-driven reconstruction. This can accelerate multi-shot scans over threefold and may enable efficient routine clinical implementation for improved breast cancer evaluation.
  Figure 461-04-010.  Exploring the Effects of Bariatric Surgery on Hepatic Metabolism: A Pilot 31P MRS Study
Abi Spicer, R Wilmington, Chris Bradley, Susan Francis, Guruprasad Aithal, Penny Gowland, Iskandar Idris, Stephen Bawden
University of Nottingham, Nottingham, United Kingdom
Impact: In-vivo liver 31P Magnetic Resonance Spectroscopy gives insight into changes relating to insulin sensitivity not linked to BMI in obese patients undergoing weight loss surgery.
  Figure 461-04-011.  Impact of Response Evaluation Criteria on DCE-MRI Radiomics in Predicting Neoadjuvant Chemotherapy Response in Breast Cancer
Weipeng Zhang, Xiang Li, Mengzhou Sun, Xiaoyun Liang
The Second Affiliated Hospital of Dalian Medical University, Dalian, China
Impact: This study highlights that neoadjuvant chemotherapy(NAC) evaluation criteria critically determine DCE-MRI radiomics performance. Identifying S+pCR as the optimal criterion improves both predictive precision and clinical value in assessing breast cancer response to therapy.
  Figure 461-04-012.  Biparametric MRI with Super-resolution Deep Learning Reconstruction in Bladder Cancer
Atsushi Nakamoto, Toru Honda, Koki Kaketaka, Takashi Ota, Hideyuki Fukui, Kengo Kiso, Takumi Tanigaki, Eriko Yoshidome, Masatoshi Hori, noriyuki tomiyama
The University of Osaka Graduate School of Medicine, Suita, Japan
Impact: SR-DLR substantially improves the quality of bladder biparametric MRI while maintaining diagnostic accuracy for muscle layer invasion. This technique may improve the visibility of the bladder muscle layer and enhance the specificity in diagnosing muscle layer invasion.
  Figure 461-04-013.  Functional lung motion and ventilation assessment using 3D cine low-field MRI at 0.55 T
Carlos Valle, Rodrigo Fuentes, Ignacio Celis, Rodrigo Salas, Jaime Retamal, Marcelo Andia, Cecilia Besa
Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
Impact: 3D cine low-field MRI provides a non-invasive framework for assessing lung motion and ventilation surrogates, bridging structural and functional imaging. The method aligns closely with spirometry, offering accessible, radiation-free functional evaluation for clinical and research applications.

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