Article
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.
BMC medical informatics and decision making - 6 Jul 2020
Sudre Carole H, Panovska-Griffiths Jasmina, Sanverdi Eser, Brandner Sebastian, Katsaros Vasileios K, Stranjalis George, Pizzini Francesca B, Ghimenton Claudio, Surlan-Popovic Katarina, Avsenik Jernej, Spampinato Maria Vittoria, Nigro Mario, Chatterjee Arindam R, Attye Arnaud, Grand Sylvie, Krainik Alexandre, Anzalone Nicoletta, Conte Gian Marco, Romeo Valeria, Ugga Lorenzo, Elefante Andrea, Ciceri Elisa Francesca, Guadagno Elia, Kapsalaki Eftychia, Roettger Diana, Gonzalez Javier, Boutelier Timothé, Cardoso M Jorge, Bisdas Sotirios
Abstract excerpt
BACKGROUND: Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve gliomas from a multi-center patients into WHO grades II-IV and across their isocitrate dehydrogenase (IDH) mutation...
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