Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning

Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning

Abstract Our aim is to predict possible gross total and subtotal resections of skull meningiomas from pre-treatment T1 post contrast MR-images using radiomics and machine learning in a representative patient cohort. We analyse the accuracy of our model predictions depending on the tumor location wit...

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Bibliographic Details
Main Authors: Manfred Musigmann, Burak Han Akkurt, Hermann Krähling, Benjamin Brokinkel, Dylan J. H. A. Henssen, Thomas Sartoretti, Nabila Gala Nacul, Walter Stummer, Walter Heindel, Manoj Mannil
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-18458-4

Internet

https://doi.org/10.1038/s41598-022-18458-4

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