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Published in: Neuroradiology 5/2021

01-05-2021 | Stroke | Interventional Neuroradiology

Post-stroke ASPECTS predicts outcome after thrombectomy

Authors: Ronen R. Leker, Asaf Honig, Andrei Filioglo, Naaem Simaan, John M. Gomori, Jose E. Cohen

Published in: Neuroradiology | Issue 5/2021

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Abstract

Purpose

Infarct growth and final infarct volume are established outcome modifiers following endovascular thrombectomy (EVT) for patients with large vessel occlusion stroke (LVO). Simple techniques for final infarct volume measurement are lacking, and therefore, we tested whether post-EVT ASPECTS can be used for prognostic evaluation after EVT.

Methods

Infarct size at baseline was measured in a prospective cohort of patients with LVO that underwent EVT with the ASPECTS score on admission non-contrast CT. Final infarct size was assessed with a post-EVT ASPECTS (ASPECTS-POST) obtained from a follow-up CT 24–72 h post-EVT. The best performing ASPECTS-POST was chosen based on comparisons of different thresholds. Outcome measures included survival rates and modified Rankin Score at 90 days.

Results

A total of 272 patients were included and 166 of them had an ASPECTS-POST ≥ 7. ASPECTS-POST ≥ 7 was associated with increased likelihood of favorable outcome at 90 days (67% vs. 21%, p < 0.001) with sensitivity, specificity, and positive and negative predictive values of 86%, 58%, 61%, and 85%, respectively. On multivariate analysis, ASPECTS-POST ≥ 7 was found to be a significant modifier of favorable outcome (Odds Ratio [OR] 6.2, 95% confidence intervals [CI] 3.1–12.4) and survival (OR 5.8 95% CI 2.4–14.3).

Conclusion

ASPECTS can be rapidly and easily obtained from the post-EVT NCCT and ASPECTS-POST ≥ 7 correlates with good outcome.
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Metadata
Title
Post-stroke ASPECTS predicts outcome after thrombectomy
Authors
Ronen R. Leker
Asaf Honig
Andrei Filioglo
Naaem Simaan
John M. Gomori
Jose E. Cohen
Publication date
01-05-2021
Publisher
Springer Berlin Heidelberg
Published in
Neuroradiology / Issue 5/2021
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-020-02576-9

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