Opercular Index Score: a CT angiography-based predictor of capillary robustness and neurological outcomes in the endovascular management of acute ischemic stroke.
Document Type
Article
Publication Date
12-1-2017
Abstract
BACKGROUND: Many CT angiography (CTA) collateral scoring systems are either subjective or complex and time consuming.
OBJECTIVE: To evaluate the correlation between a CTA collateral scoring system-the Opercular Index Score (OIS)-with neurological outcomes at 90 days following endovascular treatment for acute ischemic stroke (AIS) secondary to large vessel occlusion.
METHODS: Fifty-five patients with AIS due to distal internal carotid artery, M1, or proximal M2 occlusions who underwent endovascular treatment were included. OIS was retrospectively calculated from CTA images, reconstructed from CT perfusion imaging, as the ratio of opacified M3 opercular branches in the Sylvian fissure on the unaffected side to those on the stroke side and dichotomized into favorable (OIS≤2) and poor (OIS>2). The ability of OIS to predict good neurological outcomes (modified Rankin Scale score ≤2 at 90 days) was assessed using sensitivity, specificity, and area under the curve (AUC) with receiver operating characteristic analysis.
RESULTS: Thirty-five patients had a favorable OIS and 20 patients had a poor OIS. Patients with favorable OIS had an 80.0% (n=28) rate of good neurological outcomes compared with 15.0% (n=3) of patients with a poor OIS (p
CONCLUSIONS: OIS is a simple and practical non-invasive scoring system that can be used to predict collateral robustness and good neurological outcome among patients with AIS undergoing endovascular treatment.
Volume
9
Issue
12
First Page
1179
Last Page
1186
Recommended Citation
Copelan A, Chehab M, Brinjikji W, Wilseck Z, Kallmes DF, Wilseck J. Opercular Index Score: a CT angiography-based predictor of capillary robustness and neurological outcomes in the endovascular management of acute ischemic stroke. J Neurointerv Surg. 2017 Dec;9(12):1179-1186. doi: 10.1136/neurintsurg-2016-012746. Epub 2016 Dec 13. PubMed PMID: 27965381.
ISSN
1759-8486
PubMed ID
27965381