Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - From Microstructure to Metabolism: Next-Generation MRI for Brain Tumors

From Microstructure to Metabolism: Next-Generation MRI for Brain Tumors

Flash Presentation

Neuro B

Tuesday, 12 May 2026

Roof Terrace

08:20 - 09:56

Moderators: Jianpan Huang & Stefan Posse

Session Number: 431-01

No CME/CE Credit

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This session showcases cutting-edge advanced MRI techniques and novel biomarkers that are transforming brain tumor imaging and clinical management. Topics span from emerging methodologies such as CEST imaging for immunotherapy monitoring, perfusion-metabolic decoupling for radiation necrosis detection, and AI-accelerated acquisition protocols, to established approaches like metabolic profiling with MR spectroscopy for glioma characterization. The collection demonstrates how multiparametric imaging—combining structural, perfusion, metabolic, and mechanical parameters—enables clinicians to distinguish tumor recurrence from treatment response, predict treatment outcomes, and guide personalized therapeutic strategies in neuro-oncology.

Skill Level: Intermediate

08:20		431-01-001. Optimization of a Dual Echo Multiband Dynamic Susceptibility Contrast MRI protocol with leakage estimation Peter Barker, Yuanqi Sun, Shanshan Jiang, Richard Leigh Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: Dynamic susceptibility contrast (DSC) perfusion imaging is often used clinically for the evaluation of tumors and cerebrovascular disease. This abstract describes the optimization of an accelerated DSC sequence with whole-brain coverage and separation of T₁ and T₂* effects.
08:22		431-01-002. MRI in Clinical Practice: Perfusion Biomarkers as Clinical Alternatives to PET for Glioma Management Nadya Pyatigorskaya, Damien Galanaud, Rivka Bendrihem, Ahmed Idbaih, Aurelie Kas Paris Brain Institute - ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, UMR S 1127, Paris, France Impact: AI-based MRI perfusion biomarkers (CTH, OEF, CMRO₂, leakage, and leakage-corrected rCBV) provided complementary information that improved differentiation between tumor progression and necrosis, offered prognostic insights, and enhanced diagnostic confidence and clinical decision-making where PET imaging was unavailable or inconclusive.
08:24		431-01-003. Perfusion-Metabolic Decoupling as an Imaging Marker for Radiation Necrosis After Stereotactic Radiosurgery Dylan Young, Wilfred Lam, Rachel Chan, Dafna Sussman, Pejman Maralani, Arjun Sahgal, Hany Soliman, Greg Stanisz Toronto Metropolitan University, Toronto, Canada Impact: Assessing spatial concordance between perfusion and MTR imaging offers an interpretable framework to study perfusion–metabolic coupling in post-treatment lesions. Preliminary results suggest potential complementary value to standard MRI for characterizing radiation-induced necrosis versus tumour recurrence.
08:26		431-01-004. Differentiating Vestibular Schwannoma Progression From Pseudoprogression After Stereotactic Radiosurgery Using GRASP DCE-MRI Andrew Mao, Kenneth Bernstein, Douglas Kondziolka, Girish Fatterpekar, Matthew Lee New York University Grossman School of Medicine, New York, United States of America Impact: Internally normalized GRASP DCE-MRI signal-slope metrics may allow earlier differentiation of vestibular schwannoma pseudoprogression from true progression following stereotactic radiosurgery without requiring kinetic modeling, enabling the objective assessment of post-radiation tumor response and guiding further treatment decisions.
08:28		431-01-005. T2 relaxation effects on IVIM parameter estimates in brain tumors and healthy brain Elina Petersson, Maria Ljungberg, Maja Sohlin, Isabella Björkman-Burtscher, Oscar Jalnefjord University of Gothenburg, Gothenburg, Sweden Impact: T2 relaxation influences both f and D IVIM parameter estimates in brain tumor, surrounding edema and healthy tissue when varying TEs are used. Multi-TE protocols and an IVIM model incorporating T2 provides potential for TE-independent IVIM parameter estimation.
08:30		431-01-006. Differentiation of True Recurrence from Pseudoprogression in High-Grade Glioma Using 68Ga-PSMA-11 PET and ASL Perfusion MRI yuping han, Jing Zhang, Zhuo Wang, fei jia, jingqi Jiang The Second Hospital of Lanzhou University, Lanzhou, China Impact: Integrated multimodal imaging with ⁶⁸Ga-PSMA-11 PET and ASL-MRI establishes a powerful approach for the early distinction of true recurrence from pseudoprogression in HGG—a critical clinical challenge given their divergent management and prognosis—and demonstrates clear diagnostic superiority over single-modality techniques.
08:32		431-01-007. Application of fluid-suppressed APTw imaging in distinguishing glioma recurrence from post-treatment response Jingwen Hou, Chunqiu Su, Gaoxue Lin, Hongli Bian, Yuandong Cao, Xiance Zhao, Feiyun Wu, Shanshan Lu the first affiliated hospital of nanjing medical university, Nanjing, China Impact: We have demonstrated that fluid-suppressed APTw can improve glioma recurrence detection by suppressing confounding fluid signals; its quantitative metrics offer a promising tool to distinguish post-treatment changes, potentially guiding patient management.
08:34		431-01-008. Adaptive Data Acquisition Using Progressive Frequency Optimization and Deep Learning Reconstruction for Accelerated CEST MRI Chathumi Samaraweera, Mariano Uberti, Adarsha Bhattarai, Anand Thiraviyam, Afshin Salehi, Aditya Bade, Yutong Liu, Dongming Peng University of Nebraska-Lincoln, Lincoln, United States of America Impact: The proposed accelerated CEST MRI data acquisition process, which dynamically selects optimal frequency offsets via a progressive optimization process followed by deep learning-based reconstruction, will advance the in vivo molecular bioimaging for both clinical and preclinical biomedical applications.
08:36		431-01-009. In-Vivo Metabolic Profiling of Meningiomas Using 7T MRSI Philipp Lazen, Sara Huskic, Cornelius Cadrien, Rebeka Rumbak, Fabian Winter, Bernhard Strasser, Lukas Hingerl, Thomas Roetzer-Pejrimovsky, Johannes Leitner, Julia Furtner, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Gilbert Hangel Medical University of Vienna, Vienna, Austria Impact: 7T MRSI enables in-vivo metabolic profiling of meningiomas, offering a non-invasive tool for tumor characterization and motivating larger studies to evaluate its role in differentiating subtypes and guiding surgical and postoperative management.
08:38		431-01-010. Comparative assessment of 3T edited SVS and MRSI for in vivo detection of 2-hydroxyglutarate and cystathionine in gliomas Francesca Ravera, Capucine Cadin, Lucia Nichelli, Bertrand Mathon, Ovidiu Andronesi, Eva Niess, Marc Sanson, Franck Bielle, Stéphane Lehéricy, Malgorzata Marjanska, Francesca Branzoli Paris Brain Institute - ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne University, Paris, France Impact: The first in vivo mapping of the oncometabolite cystathionine has been achieved using edited MRSI. Detection of 2HG and Cth is more reliable with single-voxel spectroscopy. SVS and MRSI enable complementary investigation of tumor metabolism and biochemical heterogeneity.
08:40		431-01-011. Estimation of T1, PD, and T2 Maps from Weighted Images and Evaluation of Their Accuracy in Brain Tumors Dennis Thomas, Seyma Alcicek, Andrei Manzhurtsev, Mariem Ghazouani, Ralf Deichmann, Ulrike Nöth, Ulrich Pilatus, Elke Hattingen, Katharina Wenger Goethe University, University Hospital Frankfurt, Institute of Neuroradiology and Cooperative Brain Imaging Center - CoBIC, Frankfurt am Main, Germany Impact: Although tumor T1 values were slightly underestimated, the proposed method using only two clinical weighted images is an alternative to lengthy quantitative MRI protocols in brain tumor patients. Receiver profile correction is essential to obtain accurate, bias-free maps.
08:42		431-01-012. Tumor stiffness and viscosity quantified by multifrequency MR elastography for the prediction of ETE and LNM. Shiyu Xiang, Qiao Li, Jing Jin, Yajia Gu Fudan University Shanghai Cancer Center, Shanghai, China Impact: This study establishes MRE-derived biomechanical properties as sensitive, noninvasive biomarkers for predicting extrathyroidal extension and lymph node metastasis in papillary thyroid carcinoma. By demonstrating strong correlations with histopathological index, it provides a mechanistic link between tumor stiffness and invasion.
08:44		431-01-013. Changes of T1 signal intensity after brain irradiation in patients with brain metastasis following gadolinium administration Peiying Wei, Jianchen Ding, Zigeng Zhang, Guangbo Yu, Aydin Eresen, Zhijiang Han, Hongjie Hu, Zhuoli Zhang, Zhongxiang Ding Afffliated Hangzhou First People’s Hospital, Westlake University School of Medicine, Hangzhou, China Impact: This study revealed that brain irradiation significantly enhances gadolinium-related T1 hyperintensity in the dentate nucleus (DN), independent of brain metastasis or chemotherapy. These findings highlight the need for cautious use of gadolinium-based contrast agents (GBCAs) in patients receiving radiotherapy (RT).
08:46		431-01-014. Edema Geometry as a Quantitative Diagnostic and Prognostic Radiosignature Distinguishing Brain Metastases from Gliomas Neha Yadav, Vivek Tiwari Indian Institute of Science Education and Research (IISER) Berhampur, Odisha, India Impact: This study uniquely identifies the fractal-geometry of the edema-subcomponent as a robust, MRI-segmented radiosignature that discriminates brain-metastases from gliomas and predicts-survival in metastases-establishing a clinically-translatable, quantitative radiosignature that captures the irregularities and clinical and biological distinction between vasogenic and infiltrative-edema.
08:48		431-01-015. Amsterdam Imaging and Clinical Glioma Database; IMAGO release 1.0 Ivar Wamelink, Alle Meije Wink, Niels Verburg, Roelant Eijgelaar, Emmanouil Koltsakis, Marcus Cakmak, Maarten Balder, Henk Mutsaerts, Philip de Witt Hamer, Mathilde Kouwenhoven, Pieter Wesseling, Frederik Barkhof, Vera Keil Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands Impact: IMAGO’s first release provides 500 adult-type diffuse glioma cases with structural pre/postoperative MRI, diffusion, perfusion, clinical, molecular, and survival data. This database enables AI benchmarking, robust external validation, improved segmentation, and better prognostic modeling, accelerating clinically relevant neuro-oncology research.
08:50		431-01-016. 0.55 Tesla MRI with Deep Learning Reconstruction for Diagnostic and Surgical Glioma Assessment: An Initial 3 Tesla Comparison Jon Cleary, Rebecca Thornley, Naomi Sibtain, Anthony Price, Jose Lavrador, Matthew Elliot, Fatmah Noureldin, Lora-Kay Darmanin, Yasir Chowdhury, Aya Elshalakany, Yomi Wright, Francesco Vergani, Keyoumars Ashkan, Ranjeev Bhangoo, Marco Borri, Jane Ansell, Radhouene Neji, Giulia Ginami, Christina Triantafyllou, Antoine Naegel, Sarah McElroy, Ioana Pinzaru, Lewis Jenkins, Sharon Giles, Philippa Bridgen, Amedeo Chiribiri, Ugochi Akerele, Pierluigi Di Cio, Lucy Billimoria, Inka Granlund, Elna Cifra, Rachel Sparks, Jo Hajnal, Sebastien Ourselin, Jonathan Shapey School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom Impact: This preliminary study indicates that wide-bore, mid-field 0.55T MRI, of glioma, facilitated by novel deep learning-enhanced volumetric sequences, could provide comparable pre- and post-operative diagnostic information, in a similar scan time, to standard, higher field strength systems.
08:52		431-01-017. Multimodal MRI visualizes Microglial M2 Polarization via the NOD1/RIP2 Pathway in Glioma Progression Xiaoli Wang, Yuxue Luan, Miao Yu, Haimo Zhang, Xiaozu Zhang, Peilun Xiao, Fenghua Zhou, Tianyu Zhao, Peng Wu, Xizhen Wang Shandong Second Medical University, Weifang, China Impact: This study provides a non-invasive way to monitor NOD1 activity via MRI and identifies the NOD1/RIP2 pathway as a promising therapeutic target to inhibit glioma progression.