ISMRM25 - Frontiers in Neuro-Oncology Imaging

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

Frontiers in Neuro-Oncology Imaging

Power Pitch

Neuro

Monday, 12 May 2025

Power Pitch Theatre 1

08:15 - 10:15

Moderators: Gilbert Hangel & Janine Lupo

Session Number: PP-15

No CME/CE Credit

08:15		Screen Number: 1 0066. Characteristics of glioma tumor perfusion in mice with BOLD-DSC MRI View Presentation Video P. A. Chu Dang, S-E Ryu, J. Yei, T. T. Le, S. H. Choi, S. Ryu, N. K. Lee, C. G. Park, M. Suh, S-G Kim Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of Impact: BOLD-DSC is used as a sensitive and repeatable tool to longitudinal investigate glioma tumor perfusion during development, giving an insight into the vasculature change by directly observing AUC, peak and FWHM.
08:17		Screen Number: 2 0067. Spatial mapping of treatment-induced effects with multi-parametric MRI correlate with survival in patients with recurrent GBM View Presentation Video J. Ellison, N. Tran, T. Luks, A. Jakary, J. Cluceru, J. Phillips, A. Molinaro, V. Pedoia, A. Shai, D. Nair, J. Villanueva-Meyer, M. Berger, S. Hervey-Jumper, M. Aghi, S. Chang, J. Lupo UCSF, San Francisco, United States Impact: Spatial maps of recurrent glioma and treatment-effects that account for normal brain demonstrate reliable performance for mapping glioma beyond the visually identifiable lesion with anatomical MRI. Spatial prediction features are associated with survival and may enhance treatment decisions.
08:19		Screen Number: 3 0068. Clustering-Based Multiparametric MRI for Differentiation Between True Tumor Progression and Pseudoprogression in Glioblastoma View Presentation Video S. Basak, G. W Kostrzanowska, S. Bera, A. Rajan, S. Chawla, H. Poptani, S. Bhaduri TCG Centres of Research and Education in Science and Technology (TCG CREST), Kolkata, India Impact: These results demonstrate the importance of vascular permeability in tumor assessment and establish K^trans and K_epalong with tumor volume as essential parameters for differentiating true progression from treatment effects.
08:21		Screen Number: 4 0069. MRI-guided thermoradiotherapy of glioblastoma multiforme using Gd3+-loaded melanin nanoparticles reverses anoikis resistance pathway Y. Shi, J. Lian, Y. Ma, P. Liu First Affiliated HosFirst Affiliated Hospital of Harbin Medical University, Harbin, China Impact: This study presents biocompatible nanoplatforms that allow MR imaging, high anti-tumor thermoradiotherapy efficacy, and negligible side effects in the treatment of GBM.
08:23		Screen Number: 5 0070. Ivosidenib and Vorasidenib decrease 2-hydroxyglutarate levels in low-grade glioma: an in-vivo MR Spectroscopy study View Presentation Video D. Simicic, S. Alcicek, L. Blair, M. Saint-Germain, H. Zöllner, C. Davies-Jenkins, M. Holdhoff, J. Laterra, C. Bettagowda, K. Schreck, D. Lin, P. Barker, D. Kamson, G. Oeltzschner The Johns Hopkins University School of Medicine, Baltimore, United States Impact: This is the first in-vivo evidence using MRS that ivosidenib/vorasidenib reduces 2-HG suggesting that in-vivo 2-HG estimates could serve as sensitive biomarkers for monitoring low-grade gliomas in vivo in response to small-molecule IDH inhibitor therapy after initiation of treatment.
08:25		Screen Number: 6 0071. Unsupervised Learning to Dissect the Metabolic Heterogeneity in mutant IDH Astrocytoma and Oligodendroglioma Using 3D MRSI View Presentation Video G. Ungan, P. Weiser, J. Dietrich, D. Cahill, O. Andronesi Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, United States Impact: This study demonstrates that metabolic imaging combined with unsupervised machine learning effectively differentiates astrocytomas and oligodendrogliomas. Insights into tumor heterogeneity and spatial complexity advance glioma classification and could guide more personalized, subtype-specific treatment strategies in neuro-oncology.
08:27		Screen Number: 7 0072. In vivo proton MR spectroscopy reveals alterations in cysteine metabolism in human gliomas View Presentation Video K. Chan, E. Noch, E. Maher, T. Patel, A. Henning The University of Texas Southwestern, Dallas, United States Impact: The measurement of dysregulated cysteine metabolism by 1H-MRS could provide a non-invasive biomarker for monitoring treatments that target this pathway, including cysteine depletion. High levels of cystathionine in the absence of 2HG could be a marker of IDH-wildtype glioblastoma.
08:29		Screen Number: 8 0073. Region-wise Comparison of DCE-MRI based Pharmacokinetic Model Fitting in Glioblastoma View Presentation Video S. Bera, S. Basak, S. Misra, G. W Kostrzanowska, A. Rajan, S. Chawla, H. Poptani, S. Bhaduri TCG Centres for Research and Education in Science and Technology (TCG CREST), KOLKATA, India Impact: This study improves GBM assessment by optimizing DCE-MRI PK model selection. It tailors models to specific tumor regions, enabling more accurate quantification of tumor characteristics, aiding diagnosis & treatment planning. This approach can be applied to other tumors and imaging protocols.
08:31		Screen Number: 9 0074. Characterizing Intra- and Peritumoral Connectivity in Human Gliomas using Pseudo-Resting State Functional MRI Derived from DSC Perfusion MRI View Presentation Video C. Wang, N. Cho, J. Yao, R. Everson, K. Patel, L. Liau, P. Nghiemphu, N. Salamon, A. Lai, T. Cloughesy, B. Ellingson University of California, Los Angeles, United States Impact: “Pseudo” rs-fMRI derived from clinical DSC perfusion MRI may be useful for monitoring brain tumor patients. Tumor infiltration and heterogeneity associated with different glioma molecular subtypes can be revealed by connectivity patterns within the tumor and with adjacent, normal-appearing tissue.
08:33		Screen Number: 10 0075. 7T MRSI ratios can predict the presence of 5-ALA fluorescence in gliomas comparable to T1w-CE and PET View Presentation Video S. Huskic, P. Lazen, C. Cadrien, N. Weilguny, T. Roetzer-Pejrimovsky, J. Furtner, J. Leitner, A. Kloss-Brandstaetter, M. Preusser, T. Traub-Weidinger, K. Roessler, S. Trattnig, G. Grabner, W. Bogner, G. Widhalm, G. Hangel Medical University of Vienna, Vienna, Austria Impact: Our results show that 7T MRSI is a powerful tool for predicting 5-ALA fluorescence in gliomas and can be useful in therapy planning. It would be valuable to investigate the spatial correlation between 7T MRSI and areas of 5-ALA fluorescence.
08:35		Screen Number: 11 0076. Similarity of biological information captured by 68Ga-PSMA-11 PET and arterial spin labeling perfusion imaging in glioblastoma Y. Han, W. Hu, Y. Luo, X. Cao, Y. Sun, J. Zhang Lanzhou University Second Hospital, Lanzhou, China Impact: These findings may be valuable for further revealing the potential mechanisms underlying PSMA tracer uptake, and also provide support for PSMA-targeted radiotherapy as a viable treatment option for patients with glioblastoma.
08:37		Screen Number: 12 0077. Preoperative Habitat Imaging of Intratumor Heterogeneity Using Intravoxel Incoherent Motion MRI Predicts Survival of High-Grade Gliomas View Presentation Video X. Wang, S. Suo, M. Cao, Y. Song, Y. Zhou Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China Impact: Preoperative perfusion and diffusion heterogeneity identified by habitat analysis from IVIM-MRI were associated with the OS of HGG patients. The specific tumor subregion with prognostic value may help to refine the understanding of glioma ITH and contribute to future treatments.
08:39		Screen Number: 13 0078. Exchange time from time-dependent diffusion-weighted MRI as a potential biomarker for treatment response in human brain metastasis. View Presentation Video E. Gwyther, J. Powell, S. Iqbal, J. Golten, B. Jucker, M. Jallais, D. Jones, C. Tax, M. Palombo Cardiff University, Cardiff, United Kingdom Impact: We provide evidence that estimates of exchange time in brain metastases using diffusion time dependent kurtosis is a potential biomarker to characterize treatment response using endogenous water contrast.
08:41		Screen Number: 14 0079. Simultaneous T2 and ADC Mapping via MQMOLED MRI for Brain Tumor Differentiation View Presentation Video J. Bao, Z. Li, Q. Yang, X. Wang, Y. Zhuang, Y. Dong, L. Lin, A. Tulupov, Y. Zhang, S. Cai, Z. Chen, C. Cai, J. Cheng Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, zhengzhou, China Impact: The MQMOLED's rapid, reliable tumor differentiation capability could transform preoperative diagnostics, enabling tailored treatment approaches and potentially improving patient outcomes by precisely identifying tumor types, thus guiding more effective therapeutic interventions.
08:43		Screen Number: 15 0080. WITHDRAWN
08:45		Screen Number: 16 0081. Pre-Surgical Detection of Infiltrating Glioblastoma Using a Histopathology-Validated MR Fingerprinting Prediction Model View Presentation Video W. Zhao, T. Hodges, S. Gongala, P. Arjmand, X. Wang, S. Deng, C. Tippareddy, N. Korakavi, E. Alzaga Goni, R. Adams, R. Ghotra, P. Vempati, C. Davatzikos, M. Couce, J. Sunshine, M. Staudt, A. Sloan, C. Badve, D. Ma Case Western Reserve University, Cleveland, United States Impact: Glioblastoma (GBM) peritumoral infiltration leads to inevitable recurrence and death. We develop and histopathologically-validate an MRF artificial intelligence (AI) model for pre-surgical prediction of infiltrating GBM to reduce tumor recurrence, improve patient quality of life, and extend survival.
08:47		Screen Number: 17 0082. Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma View Presentation Video Q. Ouyang, P. Liu, G. Jiang The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China Impact: The presurgical habitat-based radiomics model may facilitate clinicians in deciding whether to undergo the surgical resection of glioma, thus giving a patient-tailored decision.
08:49		Screen Number: 18 0083. Integrating AI-based models from physiologic MRI with MR spectra for differentiating treatment-effect from glioma tumor recurrence View Presentation Video I. F. S. Ngnie Kamga, J. Ellison, N. Tran, J. Philips, A. Molinaro, Y. Li, T. Luks, A. Shai, D. Nair, J. Villanueva-Meyer, M. Berger, S. Hervey-Jumper, M. Aghi, S. Chang, J. Lupo UCSF, San Francisco, United States Impact: Our integrated framework improves differentiation of TxE from rTumor, reducing misdiagnosis risk and guiding treatment decisions. Future work could explore personalized treatment strategies based on imaging biomarkers, improving patient outcomes. Researchers gain avenues to optimize multi-modal ML approaches in neuro-oncology.
08:51		Screen Number: 19 0084. Multiparametric MRI Predicts Longitudinal Changes in Telomerase Activity in Recurrent IDH-Wildtype Glioblastoma View Presentation Video K. S. Choi, S. Y. Jeong, S. H. Choi, C-K Park, I. Hwang Seoul National University Hospital, Seoul, Korea, Republic of Impact: Tumor habitat analysis using multiparametric MRI for noninvasive telomerase activity prediction could inform telomerase-targeted clinical trials in glioblastoma treatment.
08:53		Screen Number: 20 0085. Physio-Metabolic MRI–derived tumor microenvironment mapping for differentiating glioblastomas from large brain metastases View Presentation Video P. Liu, Q. Ouyang, R. Yang, G. Jiang The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China Impact: The physio-metabolic MRI-derived biomarkers of oxygen metabolism and neovascularization offer valuable insights into the heterogeneity of TME, enabling more precise and personalized identification of solitary brain tumors. This approach paves the way for developing novel, tailored therapeutic strategies forthose patients.
08:55		Screen Number: 21 0086. Optimizing Glioma Classification: Comparative Analysis of Radiologist, Radiomics and Multi-dimensional Deep Learning Using Quantitative MRI X. Ge, Y. Xiong, J. Zhang Second Clinical School, Lanzhou University, Lanzhou, China Impact: This study could significantly enhance glioma diagnostics by employing advanced quantitative MRI alongside DL models, such as 2.5D-DL fusion model, which demonstrates superior classification accuracy. This approach enables personalized treatment strategies based on molecular insights, previously unattainable with traditional methods.
08:57		Screen Number: 22 0087. Biomechanical Study of Adult-type Diffuse Glioma: Insights from MR Elastography on Tumor Molecular Mutations, Blood Supply and Prognosis PDF Poster View Presentation Video Y. Zeng, S-j Bai, M. Zhou, W. Cheng, H. Guan, Y. Shi Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China Impact: This study demonstrates that MR elastography-derived tumor stiffness is a valuable noninvasive biomarker for glioma grading, molecular mutation prediction, and prognosis assessment, potentially enhancing early diagnosis, surgical planning, and personalized treatment strategies for glioma patients.
08:59		Screen Number: 23 0088. WITHDRAWN
09:01		Screen Number: 24 0089. Stereotactic radiosurgery-induced changes in brain metastasis patients within two weeks after therapy detected using multi-parametric qMRI View Presentation Video D. Thomas, S. Klinsing, M. Ghazouani, A-L Luger, R. Wolff, M. Czabanka, J. Steinbach, U. Pilatus, E. Hattingen, P. Zeiner, K. Wenger Goethe University Frankfurt, University Hospital Frankfurt, Institute of Neuroradiology, Frankfurt am Main, Germany Impact: Results demonstrate that qualitative and quantitative (qMRI) changes are detectable in MR scans of BM patients even within two weeks after SRS. The effects of SRS are not dose dependent and may have predictive value for treatment outcome.
09:03		Screen Number: 25 0090. IDH-Mutant Gliomas Reprogram Glutamine Metabolism and Pyruvate Utilization: 1H NMR Spectroscopy based Consumption and Release Investigations V. Tiwari, N. Gupta, R. Chandak, A. Panigrahi Indian Institute of Science Education and Research Berhampur, Berhampur, India Impact: ¹H-NMR-based investigations and transcriptomic-profiling suggests that IDH-mutant gliomas undergo unique metabolic-adaptations, showing increased glutamine-glutamate dependency, disrupted pyruvate pathways, enhanced release of lactate. These findings indicate Glutamine-addiction in IDH-mutant-gliomas, pointing towards potential therapeutics targeted at glutamine metabolism for management of IDH-mutant-gliomas.

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