BACKGROUND AND PURPOSE:
Despite advances in endovascular stroke therapy (EST) devices and techniques, many patients are left with substantial disability, even if the final infarct volumes (FIVs) remain small. Here, we evaluate the performance of a machine learning (ML) approach by using pretreatment CTA to identify this cohort of patients that may benefit from additional interventions.
MATERIALS AND METHODS:
We identified consecutive subjects with large vessel occlusion (LVO) acute ischemic str…