Hamouda, Noha

Background Accurate and timely prehospital detection of large vessel occlusion (LVO) is critical for optimizing patient triage and initiating appropriate reperfusion therapies. Recent advances in portable stroke detection technologies, such as electroencephalography (EEG) and transcranial Doppler (TCD) ultrasound, offer potential solutions but their diagnostic performance remains unclear. Methods We searched PubMed, Scopus, Embase, and Web of Science, following the PRISMA guidelines. Studies were included if they assessed the diagnostic performance of non-invasive prehospital LVO detection tools compared to CT or MR angiography. Risk of bias was assessed using the QUADAS-2 tool. Results A total of 13 studies were included, examining various portable detection tools including EEG or neurophysiological monitoring, ultrasound-based techniques including TCD or TCCD, portable Openwater optical blood flow monitor and cranial accelerometry. The pooled diagnostic odds ratio (DOR) was 52.7 (95% CI: 28.3–97.8), indicating strong diagnostic performance, with significant heterogeneity among studies (I 2 = 67.3%, P < 0.001). Subgroup analysis revealed that TCD-based methods had the highest DOR (120.4, 95% CI: 76.9–188.7), followed by other tools (26.8, 95% CI: 13.7–52.6), and EEG (18.2, 95% CI: 9.1–36.3). The pooled sensitivity was 87.4% (95% CI: 82.5–91.0) and specificity was 89.39% (95% CI: 83.0–93.5) across all methods. TCD-based methods showed the highest specificity (95.0%, 95% CI: 91.8–97.0). Conclusion Non-invasive prehospital LVO detection tools show promising diagnostic performance, particularly TCD-based methods. Future studies should focus on validating these tools in larger, diverse populations to enhance prehospital stroke triage and improve patient outcomes.

AbstractBackground and PurposeThe Alberta Stroke Program Early CT Score (ASPECTS) is a widely used scoring system for evaluating ischemic stroke to determine therapeutic strategy. However, there is variation in the interobserver agreement of ASPECTS. This systematic review and meta‐analysis aimed to investigate the interobserver agreement of total and regional ASPECTS.MethodsA comprehensive search was conducted in the Web of Sciences, PubMed, and Scopus databases to identify relevant studies. Inclusion criteria were studies of noncontrast CT performed within 24 hours of ischemic stroke in the middle cerebral artery territory.ResultsA total of 20 studies, with 3482 patients, reporting interobserver agreement of total and regional ASPECTS were included in the meta‐analysis. The interobserver agreement for total ASPECTS in studies using Kappa coefficient (κ) analysis was substantial (κ = .67, 95% confidence interval [CI]: .57‐.78). In studies using intraclass correlation coefficient (ICC) analysis, agreement was excellent (ICC = .84, 95% CI: .77‐.90). Interobserver agreement was higher in studies in which the observer was unblinded to clinical scenario in both groups (κ = .74, 95% CI: .59‐.89, and ICC = .82, 95% CI: .79‐.85). Per‐region analysis showed that the caudate nucleus had the highest agreement (κ = .68, 95% CI: .60‐.76, and ICC = .84, 95% CI: .74‐.93), while M2 and internal capsule in Kappa studies (κ = .45, 95% CI: .34‐.55 and κ = .47, 95% CI: .28‐.66), and M4 and internal capsule in ICC studies (ICC = .54, 95% CI: .43‐.64 and ICC = .55, 95% CI: .18‐.91) had the lowest agreement.ConclusionThis meta‐analysis demonstrates substantial to excellent interobserver agreement for total ASPECTS, which supports using this method for stroke treatment. However, findings emphasize the need to consider interobserver agreement in specific regions of ASPECTS for treatment decisions.