Publications by authors named "P C Sanelli"
Association between Heat Vulnerability Index and Stroke Severity.
Int J Environ Res Public Health
August 2024
Background: Socioeconomically disadvantaged neighborhoods are particularly vulnerable to heat-related illnesses. We aim to investigate the association between the heat vulnerability index (HVI), an established neighborhood-level metric of heat-related mortality risk, and acute ischemic stroke (AIS) severity.
Methods: We conducted a retrospective analysis of consecutive AIS admissions to a comprehensive stroke center between 2012 and 2021.
Article Synopsis
- The study aimed to evaluate how accurate cone-beam CT (CBCT) is in diagnosing different types of intracranial hemorrhage (ICH), focusing on intraparenchymal, subarachnoid, and intraventricular hemorrhages.
- A meta-analysis included seven studies with 466 patients, using multidetector CT as the reference standard; findings showed high sensitivity (0.88) and specificity (0.99) for identifying ICH.
- The results indicated that while CBCT has moderate diagnostic odds ratios, it demonstrates high specificity, particularly for intraparenchymal hemorrhage with a sensitivity of 0.98.
Objectives: As indications for acute ischemic stroke treatment expand, it is unclear whether disparities in treatment utilization and outcome still exist. The main objective of this study was to investigate disparities in acute ischemic stroke treatment and determine impact on outcome.
Materials And Methods: Retrospective observational cohort study of consecutive ischemic stroke admissions to a comprehensive stroke center from 2012-2021 was performed.
Purpose: To create and validate an automated pipeline for detection of early signs of irreversible ischemic change from admission CTA in patients with large vessel occlusion (LVO) stroke.
Methods: We retrospectively included 368 patients for training and 143 for external validation. All patients had anterior circulation LVO stroke, endovascular therapy with successful reperfusion, and follow-up diffusion-weighted imaging (DWI).
Background: A major driver of individual variation in long-term outcomes following a large vessel occlusion (LVO) stroke is the degree of collateral arterial circulation. We aimed to develop and evaluate machine-learning models that quantify LVO collateral status using admission computed tomography angiography (CTA) radiomics.
Methods: We extracted 1116 radiomic features from the anterior circulation territories from admission CTAs of 600 patients experiencing an acute LVO stroke.