Prevalence of unruptured intracranial aneurysms (UIAs) examined in the trauma population.

Background: Previous data on the prevalence of unruptured intracranial aneurysms (UIAs) vary widely, and studies based on these data are plagued with unintentional bias. Accurate prevalence data are paramount for any physician who counsels patients with intracranial aneurysms on rupture risk and treatment. We therefore sought to determine a more accurate number for the true prevalence of UIAs.

Machine learning for clinical outcome prediction in cerebrovascular and endovascular neurosurgery: systematic review and meta-analysis.

Background: Machine learning (ML) may be superior to traditional methods for clinical outcome prediction. We sought to systematically review the literature on ML for clinical outcome prediction in cerebrovascular and endovascular neurosurgery.

Methods: A comprehensive literature search was performed, and original studies of patients undergoing cerebrovascular surgeries or endovascular procedures that developed a supervised ML model to predict a postoperative outcome or complication were included.

Acute and Long-Term Management of Blunt Cerebrovascular Injury at a Quaternary Referral Level 1 Trauma Center: The Memphis Experience and Comparison of a New Scoring System.

Background And Objectives: The management of blunt cerebrovascular injuries (BCVIs) remains an important topic within trauma and neurosurgery today. There remains a lack of consensus within the literature and significant variation across institutions. The purpose of this study was to evaluate management of BCVI at a large, tertiary referral trauma center.

Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care.

Background: Emergent large vessel occlusion (ELVO) acute ischemic stroke is a time-sensitive disease.

Objective: To describe our experience with artificial intelligence (AI) for automated ELVO detection and its impact on stroke workflow.

Methods: We conducted a retrospective chart review of code stroke cases in which VizAI was used for automated ELVO detection.

Predicting the degree of difficulty of the trans-radial approach in cerebral angiography.

Background: To evaluate anatomical and clinical factors that make trans-radial cerebral angiography more difficult.

Methods: A total of 52 trans-radial diagnostic angiograms were evaluated in a tertiary care stroke center from December 2019 until March 2020. We analyzed a number of anatomical variables to evaluate for correlation to outcome measures of angiography difficulty.

Intravenous thrombolysis pretreatment and other predictors of infarct in a new previously unaffected territory (INT) in ELVO strokes treated with mechanical thrombectomy.

Introduction: One uncommon complication of mechanical thrombectomy (MT) is an infarct in a new previously unaffected territory (infarct in new territory (INT)).

Objective: To evaluate the predictors of INT with special focus on intravenous thrombolysis(IVT)pretreatmentbefore MT.

Methods: Consecutive patients with emergent large vessel occlusion (ELVO) treated with MT during a 5-year period were evaluated.

Impact of pretreatment with intravenous thrombolysis on reperfusion status in acute strokes treated with mechanical thrombectomy.

Introduction: We sought to evaluate the impact of pretreatment with intravenous thrombolysis (IVT) on the rate and speed of successful reperfusion (SR) in patients with emergent large vessel occlusion (ELVO) treated with mechanical thrombectomy (MT) in a high-volume tertiary care stroke center.

Methods: Consecutive patients with ELVO treated with MT were evaluated. Outcomes were compared between patients who underwent combined IVT and MT (IVT+MT) and those treated with direct MT (dMT).

Flat panel imaging of occlusion site and collateral scores for emergent large vessel occlusion.

Introduction: Flat panel imaging for emergent large vessel occlusion can be acquired prior to mechanical thrombectomy (MT). In this study, we examined patients undergoing MT with computed tomography angiography (CTA) to determine agreement on the site of occlusion and CTA collateral score (CS).

Methods: Flat Panel CTA (FP-CTA) was acquired before MT.