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Tailored Intraoperative MRI Strategies in High-Grade Glioma Surgery: A Machine Learning-Based Radiomics Model Highlights Selective Benefits.

Martin AichholzerPhilip RauchLucia KastlerJosef PichlerKathrin Aufschnaiter-HiessböckFrancisco Ruiz-NavarroStefan AspalterSaskia HartlWolfgang SchimettaPetra BöhmIlja ManakovWolfgang ThomaeMatthias GmeinerAndreas GruberHarald Stefanits
Published in: Operative neurosurgery (Hagerstown, Md.) (2023)
Our machine learning-driven radiomics approach predicts scenarios where 5-ALA alone may be suboptimal in HGG surgery compared with its combined use with iMRI. Although 5-ALA typically yields favorable results, our analyses reveal that HGGs characterized by significant volume, complex morphology, and left-sided location compromise the effectiveness of resections relying exclusively on 5-ALA. For these intricate cases, we advocate for the continued relevance of iMRI.
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