Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Classification in Diffusion MRI I

Digital Poster

Analysis Methods

Monday, 11 May 2026

Digital Posters Row E

16:10 - 17:05

Session Number: 364-05

No CME/CE Credit

Similar Sessions

Advanced classification methods based on diffusion MRI

Skill Level: Intermediate

		364-05-001. White Matter Microstructure and Visual Function in NF1 and Non-NF1 Optic Pathway Gliomas: A Longitudinal Study Emily Drabek-Maunder, Darren Hargrave, Kshitij Mankad, Andrew Nisbet, Jonathan Clayden, Dorothy Thompson, Kristian Aquilina, Jamie Dean, Chris Clark University College London, London, United Kingdom Impact: Microstructural assessment of optic radiations with diffusion MRI in OPG patients can serve as a biomarker of visual pathway integrity, reflecting disease progression and visual outcomes in NF1 and non-NF1 patients, supporting monitoring and interventions to prevent visual loss.
		364-05-002. micro-structural white matter alterations in patent foramen ovale and their relationship with migraine: a TBSS study Xinying Shi, Yangyingqiu Liu, Yuxuan Li, Jinfeng Cao Binzhou Medical University, Yantai City, Shandong Province, China Impact: This study aims to establish DTI metrics as key imaging biomarkers for cerebral micro-structural white matter impairment in patients with PFO and to demonstrate their correlation with migraine severity, thereby supporting early disease detection, clinical intervention, and improved patient outcomes.
		364-05-003. A structural assessment of glioma subtypes comparing non-Gaussian and Gaussian diffusion metrics for classification Franklyn Howe, Ian Storey, Timothy Jones, Christopher Murphy, Philip Benjamin, Thomas Barrick City St George's, London, United Kingdom Impact: Non-invasive assessment of glial tumour molecular subtype by MRI will aid patient management by providing a rapid and objective classification, minimising surgery associated morbidity and sampling errors. Classification from whole tumour diffusion histograms has potential for fully automated objective analysis.
		364-05-004. White matter alteration mediated the association between ventricular dilation and cognitive decline in hydrocephalus patients Yawen Xiao, Jiankun Dai, Xinlan Xiao The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China Impact: Our results firstly showed that brain wide witter matter alteration was causal mediator between ventricular dilation and cognitive decline in hydrocephalus patients. This study offered novel insights into why ventricular dilation would cause cognitive decline in patients with hydrocephalus.
		364-05-005. Time-Dependent Diffusion MRI Reveals Microstructural Predictors of Lymph Node Metastasis in Papillary Thyroid Carcinoma Shuai Wang, jiayue Dai, Wenlei Guo, Zhen Jia, SHAOXIN xiang, Tianjiao Chen, Miaomiao Wang, Yan Zhang, Xianjun Li, Ting Liang, jian Yang The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: Time-dependent diffusion MRI enables virtual histopathology of PTC by quantifying cell density and extracellular remodeling, providing a noninvasive tool to accurately predict lymph node metastasis and guide personalized preoperative and therapeutic decision-making.
		364-05-006. Time-Dependent Diffusion MRI for Quantitative Microstructural Mapping of Nasopharyngeal Carcinoma Yingwei Luo, Hui Zhang, Demao Deng, Thorsten Feiweier the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China Impact: This study aims to investigate the potential of time-dependent MRI (td-DMRI) for risk stratification and assessing treatment response in nasopharyngeal carcinoma, with the goal of enabling quantitative, precise, and personalized evaluation to guide therapeutic decision-making.
		364-05-007. Time-Dependent Diffusion-Weighted Imaging in the Differential Diagnosis of PI-RADS4-5 Carcinoma of prostate and Granulomatous Dongli Feng, Ruirui Chai, qi Miao, Yueluan Jiang, Thorsten Feiweier The First Hospital of China Medical University, Shenyang, China Impact: td-dMRI can accurately reflect tissue microstructure. This study confirmed that its quantitative parameters can distinguish PCa from GP, which provides a new technical path for non-invasive diagnosis and has a good clinical application prospect.
		364-05-008. Time-Dependent Diffusion MRI for Predicting IDH Mutation and Exploring Underlying Biological Mechanisms Wanjun Hu, Darui Li, Yuhui Xiong, Lizhi Xie, Jing Zhang Department of Magnetic Resonance, Lanzhou, China Impact: Time-dependent diffusion MRI–derived parameters is an effective method to identify molecular subtypes; high cellularity predicted shorter RFS and was associated with increased tumor T-cell infiltration.
		364-05-009. The utility of histogram analysis of td-dMRI in diagnosis and prognostic factors assessment of oropharyngeal carcinoma Fan Yang, Haoran Wei, Yueluan Jiang, Thorsten Feiweier, Meng Lin, Hongmei Zhang National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China Impact: Histogram metrics derived from IMPULSED-based t_d-dMRI provide a noninvasive method to differentiate OPSCC from OPL and to identify HPV infection, PD-L1 expression level, and p53 status.
		364-05-010. Time-Dependent Diffusion MRI for Discriminating Papillary Thyroid Carcinoma Using rADC and ΔADC Wenlei Guo, Shuai Wang, jiayue Dai, SHAOXIN xiang, Ting Liang, jian Yang The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: The rADC and ΔADC parameters demonstrate promise as superior non-invasive tools for precise thyroid tumor discrimination, potentially reducing unnecessary biopsies and advancing the clinical translation of time-dependent diffusion biomarkers.
		364-05-011. Time-Dependent Diffusion MRI-based Quantitative Multiparameters for Assessment of TP53 mutation status in Rectal Cancer Xiaohuan Mei, Yijing Luo, Lan Zhou, Aerzuguli Abudulimu, 会婷张, Long Qian, Thorsten Feiweier, mengsi li, wenzheng li Xiangya Hospital of Central South University, Changsha, China Impact: Td-dMRI is a promising tool for noninvasively evaluating TP53 mutation status in RC, which may contribute to the optimization of personalized treatment strategies for patients with RC, thus leading to improved prognostic outcomes.
		364-05-012. Comparative Diagnostic Value of DCE-MRI Heterogeneity Metrics and DWI in Assessing Invasive Breast Cancer Grade Xinyu Feng, hui chen, Changyu Liu, Zhendong Guo, Song'an Shang, Daming Shen, Qingqiang zhu Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, Yangzhou, China Impact: Computer-aided comprehensive tumor heterogeneity analysis has replaced the limited region-of-interest sampling, improving the efficiency and accuracy of breast cancer aggressiveness grading. It enables clinicians to implement personalized treatment plans for breast cancer, providing patients with safer and faster diagnostic services.
		364-05-013. Prediction of Lymphovascular Space Invasion in Cervical Cancer Using Time -Dependent Diffusion MRI Ling Long, Xijia Deng, Junjie Jin, Meiling Liu, Meimei Cao, Xiaosong Lan, Jiuquan Zhang Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, ChongQing, China Impact: Time-dependent diffusion MRI(Td-dMRI) can non-invasively reveal microstructural characteristics of cervical cancer, potentially predict the lymphovascular space invasion(LVSI) status of cervical cancer before surgery, which may enable better clinical decision-making.
		364-05-014. Mechanisms of Age- and Vascular-related Corpus Callosum Microstructure with Biophysical Modeling of Diffusion MRI Hanie Karimi, Trevor Exell, Scott Peltier, Douglas Noll, Benjamin Hampstead, Alexandru Iordan, Ana Daugherty, Shruti Mishra University of Michigan, Ann Arbor, United States of America Impact: While microstructure quantified by DTI sensitively detects early white matter changes in the corpus callosum related to vascular risk, biophysical modeling using the “Standard Model” adds specificity by distinguishing myelin- from axonal-related damage in characterization of subclinical vascular injury.