Abstract Background and aims Hemorrhagic transformation (HT) is a common complication after mechanical thrombectomy in acute ischemic stroke (AIS), affecting 22-29% of patients. Conventional CT diagnosis is often delayed HT detection due to patient transfer. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of intraprocedural flat-panel detector CT (FDCT) for early HT detection in AIS after endovascular therapy. Methods A systematic search of PubMed, Scopus, Web of Science, and Cochrane Library identified 18 studies evaluating the diagnostic performance of FDCT in AIS patients post-EVT. The analysis was conducted by RevMan with random-effects model and Egger’s test for bias. Results Analysis of 18 studies (3, 119 patients) showed a pooled FDCT detection rate for any HT of 41% (95% CI: 32–50%). Subgroup pooled analysis were: HI1 9% (95% CI: 2%–17%), HI2 17% (95% CI: 0–33%), PH1 11% (95% CI: 4–17%), and PH2 19% (95% CI: 3–35%). At 90 days, pooled mortality was 17% (95% CI: 12–23%) and functional independence (mRS 0–2) was 37% (95% CI: 26–47%). Heterogeneity was high (I²: 71. 2%–96. 6%). Leave-one-out analysis confirmed result stability. Egger’s test showed no bias for primary HT (p=0. 057) or mortality (p=0. 40), but indicated small-study effects for mRS 0–2 (p=0. 009) and PH2 (p=0. 042). Conclusions FDCT is an efficient intraprocedural tool for immediate post-thrombectomy assessment, identifying hemorrhagic transformation (HT) with high sensitivity which facilitates rapid clinical decision-making and optimizes post-procedural care. Conflict of interest Omar Elsayed Rageh: nothing to disclose, Toka Elboraay: nothing to disclose, Yehia Abdalla Abdalla: nothing to disclose, Elsayed S. Moubarak: nothing to disclose, mohamed wagdy: nothing to disclose
Building similarity graph...
Analyzing shared references across papers
Loading...
Toka Elboraay
Omar Elsayed Rageh
Yehia Abdalla Abdalla
European Stroke Journal
Cairo University
Tanta University
Zagazig University
Building similarity graph...
Analyzing shared references across papers
Loading...
Elboraay et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69fd7f0dbfa21ec5bbf077ac — DOI: https://doi.org/10.1093/esj/aakag023.982