Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas

Georgios S. Ioannidis; Laura Elin Pigott; Laura Elin Pigott; Laura Elin Pigott; Michael Iv; Katarina Surlan-Popovic; Katarina Surlan-Popovic; Max Wintermark; Sotirios Bisdas; Sotirios Bisdas; Kostas Marias; Kostas Marias

doi:10.3389/fneur.2023.1249452

Frontiers in Neurology (Nov 2023)

Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas

Georgios S. Ioannidis,
Laura Elin Pigott,
Laura Elin Pigott,
Laura Elin Pigott,
Michael Iv,
Katarina Surlan-Popovic,
Katarina Surlan-Popovic,
Max Wintermark,
Sotirios Bisdas,
Sotirios Bisdas,
Kostas Marias,
Kostas Marias

Affiliations

Georgios S. Ioannidis: Computational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH), Heraklion, Greece
Laura Elin Pigott: Institute of Health and Social Care, London South Bank University, London, United Kingdom
Laura Elin Pigott: Faculty of Brain Science, Queen Square Institute of Neurology, University College London, London, United Kingdom
Laura Elin Pigott: Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery University College London, London, United Kingdom
Michael Iv: Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, United States
Katarina Surlan-Popovic: Department of Radiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
Katarina Surlan-Popovic: Department of Neuroradiology, University Medical Centre, Ljubljana, Slovenia
Max Wintermark: Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, United States
Sotirios Bisdas: Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, UCL, London, United Kingdom
Sotirios Bisdas: Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, United Kingdom
Kostas Marias: Computational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH), Heraklion, Greece
Kostas Marias: 0Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

DOI: https://doi.org/10.3389/fneur.2023.1249452
Journal volume & issue: Vol. 14

Abstract

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ObjectiveThis study aims to assess the value of biomarker based radiomics to predict IDH mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of primary glioma (WHO grades 2–4) from 3 different centers.MethodsTo quantify the DSC perfusion signal two different mathematical modeling methods were used (Gamma fitting, leakage correction algorithms) considering the assumptions about the compartments contributing in the blood flow between the extra- and intra vascular space.ResultsThe Mean slope of increase (MSI) and the K1 parameter of the bidirectional exchange model exhibited the highest performance with (ACC 74.3% AUROC 74.2%) and (ACC 75% AUROC 70.5%) respectively.ConclusionThe proposed framework on DSC-MRI radiogenomics in gliomas has the potential of becoming a reliable diagnostic support tool exploiting the mathematical modeling of the DSC signal to characterize IDH mutation status through a more reproducible and standardized signal analysis scheme for facilitating clinical translation.

Published in Frontiers in Neurology

ISSN: 1664-2295 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system
Website: https://www.frontiersin.org/journals/neurology/

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