Machine-learning-based outcome prediction in stroke patients with middle cerebral artery-M1 occlusions and early thrombectomy.
Janne HamannLisa HerzogCarina WehrliTomas DobrockyAndrea BinkMarco PiccirelliLeonidas PanosJohannes KaesmacherUrs FischerChristoph StippichAndreas R LuftJan GrallaMarcel ArnoldRoland WiestBeate SickSusanne WegenerPublished in: European journal of neurology (2020)
In patients with MCA-M1 occlusion strokes referred to EVT within 6 h of symptom onset, infarct core volume was associated with outcome. However, ROI-based imaging variables led to no significant improvement in outcome prediction at an individual patient level when added to a set of clinical predictors. Our study is in concordance with current practice, where imaging mismatch or collateral readouts are not recommended as factors for excluding patients with MCA-M1 occlusion for early EVT.