Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - From Molecular Signatures to Surgical Guidance: Cutting-Edge MRI in Brain Tumor Care

From Molecular Signatures to Surgical Guidance: Cutting-Edge MRI in Brain Tumor Care

Digital Poster

Neuro B

Wednesday, 13 May 2026

Digital Posters Row D

16:55 - 17:50

Session Number: 563-06

No CME/CE Credit

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This session features advanced quantitative MRI techniques and AI-driven innovations for brain tumor diagnosis and characterization, including CEST MRI for glioma grading, molecular prediction of IDH mutations, and high-field spectroscopy. Presentations showcase clinical automation tools such as LLM-based BT-RADS scoring, deep learning for spectroscopy analysis, and intraoperative 3D MRI guidance for surgical planning.

Skill Level: Intermediate

		563-06-001. Improved glioma grading and IDH mutation status prediction with QUASS-based AREX analysis using CEST MRI Jiahui Xie, Yinwei Ying, Ruibin Liu, Dong Liang, Bo Yin, Yin Wu Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: The proposed quasi-steady-state (QUASS)-based apparent exchange-dependent relaxation (AREX) analysis demonstrated superior performance in glioma grading and IDH mutation status prediction compared to conventional APT measurements, enabling more accurate tumor characterization in clinical practice.
		563-06-002. Does APT-weighted CEST MRI depend on protein and amide proton content in human brain tumor? Yulun Wu, Rick Bezemer, Tobias Wood, Thomas Booth, Matthew Benger, Caitlin O'Brien, Keyoumars Ashkan, Fatemeh Arzanforoosh, Amina Avan, Lennard Dekker, Sophie Veldhuijzen van Zanten, Ilanah Pruis, Eelke Bos, Joost Schouten, Arnaud Vincent, Marion Smits, Theo Luider, Esther Warnert Erasmus MC, Rotterdam, Netherlands Impact: Through proteomic analysis of 65 image-guided biopsies we disprove the common hypothesis that increased amide proton transfer (APT) weighted CEST MRI signal in brain tumors in humans is related to local increases in protein content.
		563-06-003. Quantitative Sodium MRI for Pituitary Neuroendocrine Tumors: A Preliminary 3T Study Peng Liu, Naying He, Jinyuan Weng, Peng Wu, Zhongping Zhang, Fuhua Yan Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: ²³Na MRI may provide new metabolic biomarkers for PitNET characterization, enabling improved diagnosis and individualized therapy. Larger studies are needed to validate its potential for clinical application and prognostic assessment.
		563-06-004. Automating BT-RADS Scoring and Structured MRI Reporting in Post-Treatment Glioma Using Large Language Models Zhi Liu Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China Impact: This study demonstrates that LLMs can automate BT-RADS scoring, enhance reporting consistency, and reduce clinical workload, facilitating broader adoption of standardized glioma follow-up in routine practice.
		563-06-005. Assessment of Glioma Solid Stress Using MR Elastography and 3D Volumetric MRI Noah Jaitner, Mehrgan Shahryari, Jakob Schattenfroh, Tom Meyer, Hossein Aghamiry, Jakob Ludwig, Jakob Jordan, Anastasia Janas, Anna Morr, Biru Huang, Boshra Shams, Thomas Picht, Gueliz Acker, Tobias Schaeffter, Jing Guo, Ingolf Sack Charité – Universitätsmedizin Berlin, Berlin, Germany Impact: This study combines multifrequency MRE with 3D volumetric MRI to quantify solid stress exerted by brain tumors to surrounding tissue. Elevated excess stress correlated with shorter survival time in patients with glioma.
		563-06-006. A Semi-Automatic Methodology For Accurate Estimation of Residual Tumor Volume In Postoperative GBM Patients Mohammad Tufail Sheikh, Ankit Kandpal, Rakesh Singh, Rakesh Kumar Gupta, Anup Singh Indian Institute of Technology, Delhi, India Impact: The study introduces a methodology for residual tumor volume evaluation using pre-operative, immediate post-operative, and two-week follow-up multiparametric MRI. Accurate residual tumor estimation could facilitate targeted treatment planning, leading to improved prognosis and enhanced overall survival in glioblastoma patients.
		563-06-007. Magnetic resonance imaging-based habitat, intra-, and peritumoral radiomic model for preoperative prediction of IDH Mutation Qun-hui Ouyang, Rutong Pan, Ping Liu The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China Impact: This study establishes a clinically applicable, MRI-based fusion model integrating habitat and peritumoral radiomics to noninvasively predict IDH mutation in glioma. It advances precision molecular stratification, offering new insights into peritumoral biology and promoting individualized surgical and therapeutic decision-making.
		563-06-008. Predicting IDH Mutation and 1p/19q Codeletion Status in Non-enhancement and Hypo-enhancement Adult-type Diffuse Glioma Using Liqiang Zhang The First Affiliated Hospital of Chongqing Medical University, Chongqing, China Impact: This study investigated the effectiveness of LLMs with image-to-text technology to predict IDH mutation and 1p/19q codeletion status in non-enhancement and hypo-enhancement adult-type diffuse glioma. Furthermore, the human expert-defined prior knowledge is incorporated to enhance the performance of LLMs.
		563-06-009. Comparison of Metabolite Estimation Approaches with MRSI at 7T Ahmet Azgın, Barbara Dymerska, Martina Callaghan, Philipp Lazen, Sagar Acharya, Sara Huskic, Haniye Shayeste, Simon Robinson, Lukas Hingerl, Bernhard Strasser, Juliane Hennenberg, Matthias Preusser, Thomas Roetzer-Pejrimovsky, Wolfgang Bogner, Karl Rössler, Georg Widhalm, Gilbert Hangel Medical University of Vienna, Vienna, Austria Impact: Metabolic imaging using internal water referencing through quantitative maps could allow us to get subject based concentration estimates in the brain, and help us image pathologies like gliomas. This would allow better intra- and inter - subjects analysis.
		563-06-010. Diagnostic Efficacy of Quantitative Analysis Using pCASL & DKI Sequences + WM Skeleton to Distinguish Glioma TR from PsP Peiquan Liu, Yujie Chen, xiaoxiao zhang, Yuanhao Li, Jiaxuan Zhang, Wenzhen Zhu Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1095, Wuhan, China Impact: This study addresses a critical unmet clinical need by leveraging white matter fiber skeleton-based quantitative parameters (WMTI_AWF, FW_MD) to enhance the diagnostic precision of distinguishing glioma TR from PsP, resolving a long-standing clinical dilemma in postoperative glioma management.
		563-06-011. Ferumoxytol-Enhanced MRI Maps Macrophage-Associated Inflammation in Gliomas and Vestibular Schwannomas James Breese, Rainer Hinz, Daniel Lewis, William Lloyd, Andrew Tyler, Ka-loh Li, Xiaoping Zhu, Bandar Alfaifi, Alan Jackson, Andrew King, David Coope University of Manchester, Manchester, United Kingdom Impact: Ferumoxytol-enhanced MRI enables non-invasive mapping of macrophage activity, uncovering a unique insight into tumour immune processes, beyond conventional contrast-enhancing methods. This biomarker could guide patient selection for immunotherapy and a provide a deeper understanding into the mechanisms of tumour progression.
		563-06-012. 2-Hydroxyglutarate-edited Deep Learning Complex Frequency and Phase Correction Hanna Bugler, Gerd Melkus, Thanh Nguyen, Roberto Souza, Ashley Harris University of Calgary, Calgary, Canada Impact: Complex frequency and phase correction (FPC) preprocessing of 2-hydroxyglutarate MRS data improved spectrum quality compared to traditional FPC. Increased 2-hydroxyglutarate MRS quality can improve the accuracy and reliability of 2-hydroxyglutarate as a biomarker for the non-invasive prognosis of gliomas.
		563-06-013. Pathology-Controlled Brain MRI Synthesis Using Conditional Wavelet Diffusion Model Fei Tan, Ashok Vardhan Addala, Xucheng Zhu, Bruno Astuto, Ravi Soni GE HealthCare, San Ramon, United States of America Impact: Our approach preserves real lesions while increasing diversity of 3D brain MR images with conditional wavelet diffusion model. Interactive lesion deformation enables controlled pathology generation, supporting clinically relevant data augmentation for vision and vision-language tasks in data-scarce scenarios.
		563-06-014. Intraoperative 3D quantitative magnetic resonance imaging in paediatric brain tumor surgery Per Nyman, Frederik Testud, Anna Ljusberg, Oscar Snödahl, Rafael Holmgren, Emma Nordh, Ida Blystad, Peter Lundberg, Anders Tisell Linköping University, Linköping, Sweden Impact: We implemented a 3D qMRI method for improving tumor delineation in intra-operative pediatric brain tumor surgery. Results showed that relaxation rates were accurately measured, and transverse relaxation rates were increased in intra-operative settings probably due to anesthetic drugs.
		563-06-015. Value of NODDI, DKI, DTI in the Preoperative Differentiation of ACTH-Secreting and Non-ACTH-Secreting Pituitary macroadenomas Yiyue Shi, linkun wang, Wei Wei, 亚平吴, Yan Bai, Meiyun Wang Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China Impact: This study facilitates preoperative differentiation between corticotroph and non-corticotroph macroadenomas, enabling personalized treatment stratification and potentially avoiding unnecessary surgery.
		563-06-016. A prospective study - constructing a Weibull model for survival of IDH-1 wild-type GBM patients based on multimodal MRI huaze xi The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China Impact: This study is the first to use the multi-parameter Weibull hazard ratio model to predict the survival of GBM patients, and make a relatively accurate prediction of the nonlinear death time within two years.