A magnetic resonance imaging based radiomics model to predict mitosis cycles in intracranial meningioma

A magnetic resonance imaging based radiomics model to predict mitosis cycles in intracranial meningioma

Abstract The aim of this study was to develop a magnetic resonance imaging (MRI) based radiomics model to predict mitosis cycles in intracranial meningioma grading prior to surgery. Preoperative contrast-enhanced T1-weighted (T1CE) cerebral MRI data of 167 meningioma patients between 2015 and 2020 w...

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Bibliographic Details
Main Authors: Hermann Krähling, Manfred Musigmann, Burak Han Akkurt, Thomas Sartoretti, Elisabeth Sartoretti, Dylan J. H. A. Henssen, Walter Stummer, Walter Heindel, Benjamin Brokinkel, Manoj Mannil
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-28089-y

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https://doi.org/10.1038/s41598-023-28089-y

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