Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab

Abstract

With the use of machine learning techniques to analyze imaging features derived from pre- and posttherapy multimodal MRI, we were able to develop a predictive model for patient OS that could potentially assist clinical decision making.