Journal of magnetic resonance imaging : JMRI
-
J Magn Reson Imaging · Aug 2021
Multicenter StudyThe Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
Glioblastomas (GBMs) represent both the most common and the most highly malignant primary brain tumors. The subjective visual imaging features from MRI make it challenging to predict the overall survival (OS) of GBM. Radiomics can quantify image features objectively as an emerging technique. A pragmatic and objective method in the clinic to assess OS is strongly in need. ⋯ 3 TECHNICAL EFFICACY STAGE: 2.