Abstract #1747
Classification of IDH mutation with Arterial Spin Labeling and Dynamic Susceptibility Contrast MRI in adult gliomas
Yeva Prysiazhniuk1,2, Andres Server3, Øystein Bech-Aase3, Eirik Helseth4, David Kala1,5, Roelant Sjouke Eijgelaar6, Elies Fuster-García7, Petter Brandal8,9, Atle Bjørnerud3, Jakub Otáhal1,2, Jan Petr10,11, and Wibeke Nordhøy3
1Department of Pathophysiology, the Second Faculty of Medicine, Charles University, Prague, Czech Republic, 2Laboratory of Developmental Epileptology, Institute of Physiology, Czech Academy of Sciences, Prague, Czech Republic, 3Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 4Oslo University Hospital, Department of Neurosurgery, Oslo, Norway, 5Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic, 6Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, Netherlands, 7Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Valencia, Spain, 8Department of Oncology, Oslo University Hospital, Oslo, Norway, 9Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway, 10Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 11Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Center, Amsterdam, Netherlands
Synopsis
Keywords: Tumors, Perfusion, GeneticsIDH genotype status is an important marker in glioma diagnostics. Given that IDH mutation affects the tumor vascularization pattern, perfusion imaging has the potential to become a non-invasive tumor histopathology assessor. In this study, two methods of perfusion MRI – Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labeling (ASL) – were compared in their ability to assess IDH mutation status. DSC- and ASL-derived perfusion maps correlated significantly and were feasible parameters in the IDH classification task. Mean tumor CBF quantified with ASL had the highest AUC score, sensitivity, and specificity, supporting the feasibility of using ASL in clinical glioma diagnostics.
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