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Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study).

Alysha ChelliahDavid A WoodLiane S CanasHaris ShuaibStuart CurrieKavi FataniaRussell FroodChris Rowland-HillStefanie ThustStephen J WastlingSean TenantKaren FowerakerMatthew WilliamsQiquan WangAndrei RomanCarmen DragosMark MacDonaldNorlinah Mohamed IbrahimChristian A LinaresAhmed BassiounyAysha LuisThomas YoungJuliet BrockEdward ChandyErica BeaumontTai-Chung LamLiam WelshJoanne LewisRyan Koshy MathewEric KerfootRichard BrownDaniel BeasleyJennifer GlendenningLucy BrazilAngela SwampillaiKeyoumars AshkanSébastien OurselinMarc ModatThomas C Booth
Published in: Neuro-oncology (2024)
A deep learning model using MRI images after radiotherapy, reliably and accurately determined survival of glioblastoma. The model serves as a prognostic biomarker identifying patients who will not survive beyond a typical course of adjuvant temozolomide, thereby stratifying patients into those who might require early second-line or clinical trial treatment.
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