Quality Improvement Intervention for Reducing Acute Treatment Times in Ischemic Stroke: A Cluster Randomized Clinical Trial.

Importance: Efficient care processes are crucial to minimize treatment delays and improve outcome after endovascular thrombectomy (EVT) in patients with ischemic stroke. A potential means to improve care processes is performance feedback.

Objective: To evaluate the effect of performance feedback to hospitals on treatment times for EVT.

Association of primary and secondary hemostasis biomarkers with acute ischemic stroke outcome in patients undergoing thrombectomy, with or without thrombolytics: post hoc analysis of the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands-NO IV.

Background: Intravenous thrombolysis (IVT) using recombinant tissue plasminogen activator prior to endovascular thrombectomy treatment (EVT) failed to improve treatment effect in acute ischemic stroke (AIS) patients compared with EVT alone.

Objectives: We investigated whether primary and secondary hemostasis biomarkers are associated with the effect of intravenous thrombolytics on clinical and radiological outcomes after EVT.

Methods: In the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN)-NO IV, AIS patients were randomized to receive IVT plus EVT or EVT alone.

Large-scale pretrained frame generative model enables real-time low-dose DSA imaging: An AI system development and multi-center validation study.

Background: Digital subtraction angiography (DSA) devices are commonly used in numerous interventional procedures across various parts of the body, necessitating multiple scans per procedure, which results in significant radiation exposure for both doctors and patients. Inspired by generative artificial intelligence techniques, this study proposes GenDSA, a large-scale pretrained multi-frame generative model-based real-time and low-dose DSA imaging system.

Methods: GenDSA was developed to generate 1-, 2-, and 3-frame sequences following each real frame.

Assessment of automated TICI scoring during endovascular treatment in patients with an ischemic stroke.

Background: The extended Thrombolysis in Cerebral Infarction (eTICI) score is used in digital subtraction angiography (DSA) to quantify reperfusion grade in patients with an ischemic stroke who undergo endovascular thrombectomy (EVT). A previously developed automatic TICI score (autoTICI), which quantifies the ratio of reperfused pixels after EVT, demonstrates good correlation with eTICI.

Objective: To evaluate the autoTICI model in a large multicenter registry of patients with an ischemic stroke, investigate the association with visual eTICI, and compare prediction of functional outcome between autoTICI and eTICI.

Collaterals at angiography guide clinical outcomes after endovascular stroke therapy in HERMES.

Background: Robust collateral circulation has been linked with better reperfusion and clinical outcomes. It remains unclear how individual assessments of collateral circulation may be translated into clinical practice.

Methods: The pooled Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials (HERMES) angiography dataset was analyzed by a centralized, independent imaging core blinded to other clinical data.