Computed Tomographic Perfusion Predicts Poor Outcomes in a Randomized Trial of Endovascular Therapy.
Document Type
Article
Publication Date
6-1-2018
Publication Title
Stroke; a journal of cerebral circulation
Keywords
computed tomography angiography; patients; perfusion; standard of care; thrombectomy
Abstract
BACKGROUND AND PURPOSE: In the ESCAPE trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion with Emphasis on Minimizing CT to Recanalization Times), patients with large vessel occlusions and small infarct cores identified with computed tomography (CT)/CT angiography were randomized to endovascular therapy or standard of care. CT perfusion (CTP) was obtained in some cases but was not used to select patients. We tested the hypothesis that patients with penumbral CTP patterns have higher rates of good clinical outcome.
METHODS: All CTP data acquired in ESCAPE patients were analyzed centrally using a semiautomated perfusion threshold-based approach. A penumbral pattern was defined as an infarct core <70 >mL, penumbral volume >15 mL, and a total hypoperfused volume:core volume ratio of >1.8. The primary outcome was good functional outcome at 90 days (modified Rankin Scale score, 0-2).
RESULTS: CTP was acquired in 138 of 316 ESCAPE patients. Penumbral patterns were present in 116 of 128 (90.6%) of patients with interpretable CTP data. The rate of good functional outcome in penumbral pattern patients (53 of 114; 46%) was higher than that in nonpenumbral patients (2 of 12; 17%;
CONCLUSIONS: The majority of patients with CTP imaging in the ESCAPE trial had penumbral patterns, which were associated with better outcomes overall. Patients with penumbra treated with endovascular therapy had the greatest odds of good functional outcome. Nonpenumbral patients were much less likely to achieve good outcomes.
Clinical Institute
Neurosciences (Brain & Spine)
Department
Neurosciences
Department
Diagnostic Imaging
Recommended Citation
Wannamaker, Robert; Guinand, Taurian; Menon, Bijoy K; Demchuk, Andrew; Goyal, Mayank; Frei, Donald; Bharatha, Aditya; Jovin, Tudor G; Shankar, Jai; Krings, Timo; Baxter, Blaise; Holmstedt, Christine; Swartz, Richard; Dowlatshahi, Dar; Chan, Richard; Tampieri, Donatella; Choe, Hana; Burns, Paul; Gentile, Nina; Rempel, Jeremy; Shuaib, Ashfaq; Buck, Brian; Bivard, Andrew; Hill, Michael; and Butcher, Kenneth, "Computed Tomographic Perfusion Predicts Poor Outcomes in a Randomized Trial of Endovascular Therapy." (2018). Articles, Abstracts, and Reports. 423.
https://digitalcommons.providence.org/publications/423
