Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-03-001 ISMRM Abstract

Physics-Informed Multi-Parametric Machine Learning Model to Differentiate Glioblastomas and Brain Metastases

Primary: Neuro - Tumors
Secondary: Diffusion - Diffusion Modeling
563-03-001 · Image Classification for Brain Cancer · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row D
Keywords: Physics-informed machine learning Multiparametric MRI Diffusion Perfusion Mismatch Tumor Habitat Radiomics Glioblastoma vs. Brain Metastasis Differentiation
Accepted
Seyyed Ali Hosseini 1, Archith Rajan2,3, Nesrine Rahmouni1, Arthur C. Macedo1, Tevy Chan1, Gleb Bezgin1, Steven Brem4, Stephen Bagley5, Mohamad Nazem-Zadeh6, Pedro Rosa‐Neto1, Suyash Mohan2,7, Sanjeev Chawla2,7
1Integrated Program in Neurosciences, McGill University, Montreal, Canada
2Department of Radiology, Division of Neuroradiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America
3Radiology, University of Pennsylvania, Philadelphia, United States of America
4Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America
5Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America
6Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Australia
7University of Pennsylvania, Philadelphia, United States of America
Presenting Author: Seyyed Ali Hosseini

Synopsis

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References

1. 1. Hosseini SA, Hosseini E, Hajianfar G, Shiri I, Servaes S, Rosa-Neto P, Godoy L, Nasrallah MP, O’Rourke DM, Mohan S, Chawla S. MRI-based radiomics combined with deep learning for distinguishing IDH-mutant WHO grade 4 astrocytomas from IDH-wild-type glioblastomas. Cancers. 2023;15(3):951. doi:10.3390/cancers15030951 [doi]
2. 2. Hosseini SA, Servaes S, Hall B, Bhaduri S, Rajan A, Rosa-Neto P, Brem S, Loevner LA, Mohan S, Chawla S. Quantitative physiologic MRI combined with feature engineering for glioblastoma vs brain metastasis differentiation. Diagnostics. 2024;15(1):38. doi:10.3390/diagnostics15010038 [doi]
3. 3. Hosseini SA, Shiri I, Hajianfar G, Bagley S, Nasrallah M, O’Rourke DM, Mohan S, Chawla SA. MRI-based radiomics for distinguishing IDH-mutant from IDH-wild-type Grade-4 astrocytomas. Proc ISMRM. 2022.
4. 4. Suh JH, Kotecha R, Chao ST, Ahluwalia MS, Sahgal A, Chang EL. Current approaches to the management of brain metastases. Nat Rev Clin Oncol. 2020;17(5):279-299. doi:10.1038/s41571-019-0320-3 [doi]
5. 5. Karniadakis GE, Kevrekidis IG, Lu L, Perdikaris P, Wang S, Yang L. Physics-informed machine learning. Nat Rev Phys. 2021;3(6):422-440. doi:10.1038/s42254-021-00314-5 [doi]
6. 6. Hosseini SA, Shiri I, Ghaffarian P, Hajianfar G, Avval AH, Seyfi M, Servaes S, Rosa-Neto P, Zaidi H, Ay MR. Effect of harmonization on PET radiomic feature variability. Ann Nucl Med. 2024;38(7):493-507. doi:10.1007/s12149-024-01817-3 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/563-03-001