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Abstract #2397

Noninvasive glioma stratification by multiparametric metabolic and microstructural MRI at 3T

Capucine CADIN1, Melanie DIDIER2,3, Lucia NICHELLI4, Bertrand MATHON1,4, Filip SZCZEPANKIEWICZ5, Markus NILSSON5, Stefano CASAGRANDA6, Moritz ZAISS7, François-Xavier LEJEUNE2,8, Stéphane LEHERICY2,3,4, Marc SANSON1,4, Franck BIELLE1,4, Malgorzata MARJANSKA9, and Francesca BRANZOLI1
1Paris Brain Institute - ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, UMR S 1127, Equipe labellisée par la Ligue Nationale contre le Cancer, Paris, France, 2Paris Brain Institute - ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, UMR S 1127, Paris, France, 3Center for Neuroimaging Research (CENIR), Paris Brain Institute, Paris, France, 4Sorbonne University, AP-HP, Paris Brain Institute – ICM, Pitié Salpêtrière University Hospital, Paris, France, 5Department of Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, 6Department of R&D Advanced Applications, Olea Medical, La Ciotat, France, 7Institute of Neuroradiology, University Clinic Erlangen,Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 8Data Analysis Core, Paris Brain Institute, Paris, France, 9Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, MN, United States

Synopsis

Keywords: Tumors (Pre-Treatment), Tumors, MRS, diffusion, APT-CEST, glioma, diagnosis

Motivation: Reliable, noninvasive identification of glioma subtypes is essential to optimize treatment and improve patient care.

Goal(s): To identify glioma subtypes according to the 2021 WHO classification using a multiparametric MRI and MRS approach.

Approach: Three-dimensional Principal Component Analysis was employed to analyze in vivo edited MRS, tensor-valued diffusion MRI, and APTw 3T data in a cohort of 35 patients with a newly diagnosed glioma.

Results: Diffusion MRI differentiated grade 2 astrocytomas from other glioma types with high accuracy, while APTw imaging helped separating low- and high-grade gliomas. MRS identified IDH-mutants by D-2-hydroxyglutarate and oligodendrogliomas by cystathionine levels.

Impact: Characterization of novel biomarkers of glioma metabolism and microstructure could enhance diagnostics, deepen understanding of glioma biology, and support an improved glioma stratification. Our PCA model demonstrated high accuracy in distinguishing glioma subtypes defined by WHO 2021 histomolecular classification.

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Abstract

Keywords