ISMRM25 - Imaging Biomarkers in MS: Diagnosis & Monitoring

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Imaging Biomarkers in MS: Diagnosis & Monitoring

Digital Poster

Neuro

Wednesday, 14 May 2025

Exhibition Hall

13:30 - 14:30

Session Number: D-158

No CME/CE Credit

		Computer Number: 81 3579. Longitudinal Analysis of [11C]DPA-713 PET and QSM in Multiple Sclerosis for Differentiating the Spatial Patterns of Pathological Lesions View Presentation Video Y. Lee, Y. Kang, S. Hurtado Rua, T. Nguyen, S. Gauthier Pusan National University, Busan, Korea, Republic of Impact: Our analysis suggests that the early-stage inflammatory activity in the lesion center is associated with the development of a paramagnetic rim.
		Computer Number: 82 3580. Myelin dynamics in acute multiple sclerosis lesions: Short-term myelin water changes relate to long-term lesion outcome View Presentation Video I. Vavasour, A. Traboulsee, D. Li, S. Kolind, A. Rauscher, G. W. Moore, A. MacKay, C. Laule University of British Columbia, Vancouver, Canada Impact: Early myelin water fraction dynamics in new multiple sclerosis may predict lesion MWF at 5 years.
		Computer Number: 83 3581. Automatic Segmentation of Diffusely Abnormal White Matter in Multiple Sclerosis using Fuzzy C-means Clustering View Presentation Video T. Joseph, S. Balaji, S. Kolind, G. Zhao, P. Sun, R. Carruthers, A. Schabas, A-L Sayao, V. Devonshire, R. Tam, G. R. W. Moore, D. K. B. Li, A. Traboulsee, I. Vavasour, C. Laule University of British Columbia, Vancouver, Canada Impact: Unsupervised clustering could provide an unbiased approach to automatically segment diffusely abnormal white matter (DAWM) in multiple sclerosis patients in vivo. In this study, the subtle hyperintensities associated with DAWM were segmented on proton density and T₂-weighted images.
		Computer Number: 84 3582. Choroid Plexus Radiomics for Differentiating MS and NMOSD and Their Correlation with Clinical Characteristics X. Wang, X. Wang, Y. Liu, Y. Li The First Affiliated Hospital of Chongqing Medical University; Chongqing Medical University, Chongqing, China Impact: This research advances the understanding of CP abnormalities in MS and NMOSD, aiding differential diagnosis and clinical monitoring.
		Computer Number: 85 3583. Integrating BMAT and FA Imaging for Improved Classification of Multiple Sclerosis: A Machine Learning Perspective View Presentation Video C. Montalba, P. Franco, R. Caulier-Cisterna, M. Vasquez, C. Cárcamo, E. Ciampi, M. Andia Pontificia Universidad Católica de Chile, Santiago, Chile., Santiago, Chile Impact: This study enhances diagnostic precision for MS, facilitating early intervention and personalized treatment strategies. It encourages further exploration of cognitive decline mechanisms in MS and may inspire similar integrative approaches in other neurological disorders, ultimately improving patient outcomes.
		Computer Number: 86 3584. Retrospective Analysis of Diffusion Tensor Imaging from the SPRINT-MS Clinical Trial: Advancing Trial Methodology View Presentation Video K. Sakaie, M. Du, M. Lowe, J. Lin, R. Fox The Cleveland Clinic, Cleveland, United States Impact: The cingulum and cerebellar peduncle are potential areas for focus in the evaluation of therapies in progressive MS.
		Computer Number: 87 3585. Enhanced Evaluation of Juxtacortical Lesions in Multiple Sclerosis Using High-Resolution Double Inversion Recovery Imaging with Deep Learning View Presentation Video T. Shintaku, S. Ide, H. Nagaya, Y. Ishimoto, K. Watanabe, K. Oyu, S. Kasai, Y. Umemura, M. Sasaki, K. Saitou, A. Ozawa, A. Nozaki, X. Zhu, T. Wakayama, H. Nishijima, C. Suzuki, M. Tomiyama, S. Kakeda Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan Impact: 3D DL-Speed double inversion recovery imaging is acquired in 4:23 with 0.7mm isotropic resolution covering the whole brain, which could improve the accuracy of cortical lesion assessment in patients with multiple sclerosis.
		Computer Number: 3586. WITHDRAWN
		Computer Number: 88 3587. Synthesis of Double Inversion Recovery-like Images for Superior Contrast and Multiple Sclerosis Lesion Visibility View Presentation Video L. Wang, C. Arnold, Z. Zhou, L. Xiang, A. Shankaranarayanan, S. Bash, L. Tanenbaum Subtle Medical, Menlo Park, United States Impact: Syn-DIR provides superior lesion visibility and consistent brain structure representation. The strong agreement in quantitative lesion and regional brain volumes demonstrates its robustness for clinical and research applications.
		Computer Number: 89 3588. Susceptibility Source Separation for Quantification of Remyelination in Multiple Sclerosis Lesions from multi Gradient-Echo (mGRE) Data View Presentation Video M. Sisman, A. Wu, H. Luu, A. Dimov, H. Schwartz, K. Markowitz, I. Pliska-Bloch, P. Spincemaille, Y. Wang, S. Gauthier, T. Nguyen Cornell University, New York, United States Impact: Understanding about the mechanism and timing of the remyelination in multiple sclerosis (MS) is incomplete. Therefore, noninvasive quantification of myelin is fast and accurately is an important clinical need. Susceptibility source separation from gradient-echo carries potential to satisfy this need.
		Computer Number: 90 3589. Assessment of multiple sclerosis using divided subtracted inversion recovery (dSIR) technique: a quantitative study J. Huang, J. Wang, Y. Shan, C. Zhao, B. Xu, Y. Ma, J. Lu Xuanwu hospital, Beijing, China Impact: The dSIR sequence can effectively quantitatively evaluate the abnormal changes of deep GM nuclei and WM lesions in MS patients and may be used for clinical monitoring of patients' cognitive and disability status.
		Computer Number: 91 3590. 9.4T MRI-derived Myelin Water Fraction in post-mortem brain supports the identification of active remyelination in Multiple Sclerosis View Presentation Video I. Callegari, D. Gkotsoulias, J. Leupold, E. Bahn, J. Franz, B. Dhital, D. von Elverfeldt, V. Kiselev, M. Weigel, C. Stadelmann, C. Granziera Department of Biomedical Engineering, Basel, Switzerland Impact: An unprecedented MWF with ultra-high spatial resolution obtained in post-mortem brain blocks imaged 9.4T MRI enabled the detection of ongoing remyelination at an almost cellular level, opening a new window into repair mechanisms in MS.
		Computer Number: 92 3591. Characteristics of MRI Phase Congruency Texture in Limbic Brain Regions relates to Depression in People with Comorbid MS View Presentation Video O. Oladosu, Y. Zhang University of Calgary, Calgary, Canada Impact: Non-invasive measurement of subtle structural changes in depression-relevant brain gray matter may be invaluable for improving our understanding of the underlying mechanisms in people with comorbid MS and depression, encouraging further investigations of MRI phase congruency analyses.
		Computer Number: 93 3592. QSM Source Separation Detects Treatment Effect of Ocrelizumab on Multiple Sclerosis Lesion Myelin: A Longitudinal Study View Presentation Video M. Sisman, K. Markowitz, H. Luu, H. Schwartz, I. Pliska-Bloch, P. Spincemaille, I. Kovanlikaya, S. Hurtado Rua, S. Gauthier, Y. Wang, T. Nguyen Cornell University, New York, United States Impact: Treatment efforts in Multiple Sclerosis includes medications that suppress acute inflammation. Therefore, the noninvasive quantification of the effect of treatment on the iron change and remyelination carries significant importance. Here, a novel gradient-echo based approach is tested for this purpose.
		Computer Number: 94 3593. Comparative Evaluation of Microstructural Diffusion Methods in Characterizing Multiple Sclerosis Lesions View Presentation Video C. Jin, A. Toubasi, C. Gheen, T. Vinersky, X. Jiang, F. Bagnato, J. Xu Vanderbilt University Institute of Imaging Science, Nashville, United States Impact: This study provides a better understanding of how multiple widely-used diffusion methods characterize MS lesions, which can assist in identifying the most effective imaging techniques for more accurate diagnoses in MS clinical practice.
		Computer Number: 95 3594. Characterizing Lesion Activity in Multiple Sclerosis through Central Vein Sign and Diffusion Tensor Imaging View Presentation Video S. Hannoun, G. Fayad, N. Al-Arab, F. Cotton American University of Beirut, Beirut, Lebanon Impact: CVS presence in MS lesions significantly aids in distinguishing active, chronic lesions, enabling more precise monitoring of disease progression and management. This study highlights CVS’s diagnostic value, warranting routine MRI inclusion in MS protocols.

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