Background The role of artificial intelligence and radiomics in prediction model development cancer has been increasing every passing day. Cervical is the 4th most common women worldwide contributing to 6.5% all types. treatment outcome cervical patients varies individualized disease paramount importance. Purpose purpose this study develop validate digital signature for 5-year overall survival ...

Abstract While magnetic resonance imaging (MRI) is the predominant modality for glioblastoma (GBM), pre-clinical MRI scanner availability limited. As CT more widely available and cost-effective, this study aimed to 1) establish preclinical-GBM CT-radiomic workflows, 2) identify whether CE-CT could detect murine orthotopic GBM tumours on two instruments [TRIUMPHX-O-CT; IVISSPECTRUM-CT], 3) asses...

OBJECTIVE The clinical behavior of meningiomas is not entirely captured by its designated WHO grade, therefore other factors must be elucidated that portend increased tumor aggressiveness and associated risk recurrence. In this study, the authors identify multiparametric MRI radiomic signatures using Ki-67 as a prognostic marker outcomes independent grade. METHODS A retrospective analysis was c...