ISMRM25 - Advances in Brain Tumor Imaging: From Diagnosis to Therapy Monitoring

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

Advances in Brain Tumor Imaging: From Diagnosis to Therapy Monitoring

Oral

Neuro

Wednesday, 14 May 2025

312

13:30 - 15:30

Moderators: Sonoko Oshima & Jingwen Yao

Session Number: O-62

CME Credit

13:30		Introduction Sonoko Oshima
13:42		0880. Perfusion and Time of Exchange Measurements in IDH Mutational Subgroups of Gliomas Using BBB-ASL View Presentation Video G. Turhan, A. Çetin, B. Esteves Padrela, A. Mahroo, S. Konstandin, D. Hoinkiss, N. Breutigam, V. Keil, A. Ersen Danyeli, K. Özduman, K. Eickel, H. Mutsaerts, M. Günther, J. Petr, A. Dinçer, E. Ozturk-Isik Bogazici University, İstanbul, Turkey Impact: Our findings underscore the promising potential of multi-echo BBB-ASL in evaluating BBB integrity and identifying IDH mutational subgroups of gliomas.
13:54		0881. Non-contrast Cerebral Blood Volume Images Synthesis from Arterial Spin Labeling and Non-contrast Standard MRI Using Deep Learning Network B. Wang, Y. Pan, J. Xin, C. Wang, J. He Qilu Hospital of Shandong University, Jinan, China Impact: Patients undergoing radiochemotherapy with fragile vessels or adverse reactions to gadolinium contrast could benefit from synthetic non-contrast CBV methods.
14:06		0882. Geometry Matters: Quantifying 3D-Fractality and Lacunarity in Tumor Subcomponents Distinguishes Between Brain Metastases and Gliomas N. Yadav, J. Baibhav, V. Tiwari Indian Institute of Science Education and Research Berhampur, Berhampur, India Impact: This study introduces fractal-based tumor-geometry-metrics as innovative, non-invasive imaging-signature distinguishing brain-metastases (arising-from-breast and -lung cancers) and gliomas. Integrating 3D-fractality and lacunarity measurements of tumor-subcomponents in machine-learning-models yielded high-accuracy, precise-differentiation between brain-metastases and gliomas, thus reducing biopsy-dependency, enhancing noninvasive-differential-diagnosis, and prognostication.
14:18		0883. Feasibility of Time-Dependent Diffusion MRI-Based Indicators for Identifying MGMT Promoter Methylation in High-Grade Gliomas Q. Wang, Y. Xie, Y. Zhang, X. Liang, Y. Fu, C. Zhang, F. Thorsten, M. Chen The 6th Medical Center, Chinese PLA General Hospital, Beijing, China, Beijing, China Impact: Our findings may help enabling non-invasive diagnostics for patients with HGGs by providing reliable prognostic tools and may inspire further research into MRI-based techniques for characterizing tumors as well as help guide clinical decision-making for patients unsuitable for biopsy.
14:30		0884. Differentiating hemorrhage from tumor vasculature in SWI-MRI images using Swin UNETR: Applications in Glioma Grading View Presentation Video S. Maurya, M. Sheikh, R. Gupta, A. Singh Indian Institute of Technology Delhi, New Delhi, India Impact: This study presents a method for automatically segmenting IV from SWI images using Swin UNETR without multi-echo SWI or R2* maps, enhancing efficiency in resource-limited settings, showing high accuracy in classifying gliomas. It addresses the subjectivity inherent in manual methods.
14:42		0885. Pitfalls in unedited 2-HG MRS detection with optimized TE at 3T View Presentation Video S. Alcicek, D. Simicic, L. Blair, M. Saint-Germain, H. J. Zöllner, C. W. Davies-Jenkins, M. Holdhoff, J. Laterra, C. Bettagowda, K. C. Schreck, D. D. Lin, P. B. Barker, D. O. Kamson, G. Oeltzschner The Johns Hopkins University School of Medicine, Baltimore, United States Impact: This study highlights that false-positive 2-HG MRS detection can occur in normal-appearing brain tissue and identifies signal overlap (with GABA, acetone, etc.) as the primary reason. 2-HG estimates should be interpreted carefully in clinical context, including dietary preferences or interventions.
14:54		0886. Personalized brain tumor radiation therapy planning pipeline based on spectroscopic MRI using the Brain Imaging Collaboration Suite (BrICS) View Presentation Video A. Trivedi, K. Ramesh, A. Giuffrida, S. Sheriff, L. Cooper, B. Weinberg, S. Ahn, V. Khalilzad Sharghi, A. Maudsley, J. Alger, B. Soher, H. Shim Emory University School of Medicine, Atlanta, United States Impact: PyMIDAS, a Python version of the existing IDL-based pipeline, accelerates and simplifies spectroscopic MRI-based brain tumor treatment planning, enabling clinical workflow integration. Its improved computational efficiency and flexibility support broader adoption of advanced spectroscopic MRI for brain tumor imaging.
15:06		0887. First demonstration of resting-state functional MRI on a 1.5T MR-Linac to assess functional connectivity in glioblastoma patients View Presentation Video E. Almasri, L. Lawrence, J. Stewart, M. Ruschin, A. Theriault, J. Detsky, S. Myrehaug, C-L (. Tseng, H. Soliman, A. Sahgal, A. Lau University of Toronto , Toronto , Canada Impact: We showed that frequent resting-state functional imaging on MRI-linear accelerators is feasible, with high within-patient and low across-patient session similarity. These findings suggest a potential for tracking individual functional network changes during radiotherapy to guide treatment adaptation in glioblastoma patients.
15:18		0888. Multi-resolution hyperpolarized 13C EPI with atlas-based prescription for metabolic imaging of human gliomas View Presentation Video A. Autry, J. Gordon, H-Y Chen, Y. Kim, J. Villanueva-Meyer, S. Chang, J. Clarke, N. Oberheim-Bush, D. Xu, J. Lupo, P. Larson, D. Vigneron, Y. Li University of California San Francisco, San Francisco, United States Impact: This project improved the assessment of glycolytic metabolism in patients with gliomas using multi-resolution EPI that provides a 4-fold increase in hyperpolarized [1-¹³C]pyruvate resolution, while also leveraging automatic atlas-based prescription for consistent volumetric coverage.

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