Diogo C. Haussen
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Articles (15)
Year:
2025
Year:
2025
BACKGROUND Rapid expansion of mechanical thrombectomy and swift manufacturing development has translated into significant evolution of large‐bore catheter technology. The objective of this study was to evaluate the association among diverse structural components of large‐bore aspiration catheters on procedural performance. METHODS Retrospective analysis of a prospectively maintained mechanical thrombectomy consortium (SVIN [Society of Vascular Interventional Neurology] Registry) treated with stand‐alone contact aspiration for the first pass in the middle cerebral artery M1 or intracranial internal carotid artery occlusions from 2012 to 2021. Catheters were stratified on the basis of construction materials, tip technology, catheter sizing, and catheter lining. Factors associated with first‐pass effect (first‐pass eTICI 2c–3 reperfusion) as well as speed of clot engagement were analyzed. RESULTS We identified 983 patients with proximal occlusion and aspiration as the first‐pass technique. First‐pass effect was observed in 34% and associated with age (odds ratio [OR], 1.02 [95% CI, 1.01–1.03]), cardioembolic stroke pathogenesis (OR, 1.69 [95% CI, 1.77–2.41]), middle cerebral artery M1 (OR, 2.74 [95% CI, 1.09–1.87]), nongeneral anesthesia (OR, 0.55 [95% CI, 0.39–0.767]), as well as with 0.070‐inch (OR, 2.04 95% CI, 1.01–3.78]), and 0.088‐inch (OR, 3.90 [95% CI, 1.58–9.61]) distal catheter inner diameter in the adjusted analysis. Mean time from arterial access to clot contact was 17 minutes, with faster times observed in younger patients (OR, 0.99 [95% CI, 0.98–0.996]) as well as with the use of aspiration catheters with shorter length of distal outer hydrophilic coating (18–30 cm) on multivariable regression (OR, 0.30 [95% CI, 0.11–0.82]). CONCLUSION Larger aspiration catheter distal inner diameter was associated with higher rates of first‐pass effect. Aspiration catheter construction components were found to influence times from arterial access to clot contact.
Year:
2024
Year:
2024
Year:
2024
Introduction Computed tomography perfusion (CTP) has played an important role in patient selection for mechanical thrombectomy (MT) in acute ischemic stroke. We aimed to investigate the agreement between perfusion parametric maps of 3 software packages – RAPID (RapidAI‐IschemaView), Viz CTP(Viz.ai), and e‐CTP(Brainomix) – in estimating baseline ischemic core volumes of near completely/completely reperfused patients. Methods We retrospectively reviewed a prospectively maintained MT database to identify patients with anterior circulation large vessel occlusion strokes (LVOS) involving the internal carotid artery or middle cerebral artery M1‐segment and interpretable CTP maps treated during September 2018 to November 2019. A subset of patients with near‐complete/complete reperfusion (expanded thrombolysis in cerebral infarction [eTICI] 2c–3) was used to compare the pre‐procedural prediction of final infarct volumes. Results In this analysis of 242 patients with LVOS, RAPID and Viz CTP relative cerebral blood flow (rCBF) < 30% values had substantial agreement ( ρ = 0.767 [95% confidence interval [CI] = 0.71–0.81]) as well as for RAPID and e‐CTP ( ρ = 0.668 [95% CI = 0.61–0.71]). Excellent agreement was seen for time to maximum of the residue function ( T max ) > 6 seconds between RAPID and Viz CTP ( ρ = 0.811 [95% CI = 0.76–0.84]) and substantial for RAPID and e‐CTP ( ρ = 0.749 [95% CI = 0.69–0.79]). Final infarct volume (FIV) prediction (n = 136) was substantial in all 3 packages (RAPID ρ = 0.744; Viz CTP ρ = 0.711; and e‐CTP ρ = 0.600). Conclusion Perfusion parametric maps of the RAPID, Viz CTP, and e‐CTP software have substantial agreement in predicting final infarct volume in near‐completely/completely reperfused patients. ANN NEUROL 2023;94:848–855
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Collaborators (8)
Nirav Bhatt
Assistant Professor of Neurology
University of Pittsburgh
Peter Ringleb
Prof.
University Hospital
Alhamza R Al-Bayati
University of Pittsburgh Medical Center
Raul G. Nogueira
-
Wondwossen Tekle
University of Texas Rio Grande Valley School of Medicine
Daniel Kaiser
-
Michael Nahhas
Assistant Professor of Neurology
The University of Texas Health Science Center at Houston
David Volders
University of Toronto
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