| Literature DB >> 28335662 |
Baixue Jia1,2,3,4, David S Liebeskind5, Ligang Song1,2,3,4, Xiaotong Xu1,2,3,4, Xuan Sun1,2,3,4, Lian Liu1,2,3,4, Bo Wang1,2,3,4, Zhongrong Miao1,2,3,4.
Abstract
Background The purpose of this study was to determine the performance of computed tomography angiography (CTA) by using a scoring system to predict anterograde and collateral blood flow status in patients with symptomatic middle cerebral artery (MCA) stenosis with use of conventional angiography as standard reference. Methods We retrospectively identified all consecutive patients with unilateral symptomatic MCA stenosis in our center who underwent conventional angiography and CTA within 1 month. The anterograde and collateral blood flow (AnCo) scoring system consisted of anterograde score (AnS) and collateral score (CoS). Evaluation of the CTA images was done independently by two readers, based on the AnCo scoring system. The conventional angiography was assessed by using the Thrombolysis in Cerebral Infarction (TICI) and American Society of Interventional and Therapeutic Neuroradiology (ASITN/SIR) scoring system to determine the status of anterograde and collateral blood flow. Diagnostic performance of AnCo was evaluated by using the area under the receiver operating characteristic (ROC) curve. Results A total of 61 patients were included in the analysis with mean age of 53.4 ± 11.0 years. AnS demonstrated a strong correlation with TICI with statistical significance ( r = 0.786; p < 0.001). CoS had a modest yet statistically significant correlation with ASITN/SIR ( r = 0.574; p < 0.001). The ROC curve analysis for AnS demonstrated an area under the curve (AUC) of 0.894 ( p < 0.001) and the ROC curve analysis for CoS showed an AUC of 0.824 ( p < 0.001). Conclusions CTA was a potential method to evaluate anterograde and collateral blood flow status in patients with symptomatic unilateral MCA stenosis.Entities:
Keywords: Intracranial atherosclerosis; collaterals; computed tomography angiography
Mesh:
Year: 2017 PMID: 28335662 PMCID: PMC5490863 DOI: 10.1177/1591019917694480
Source DB: PubMed Journal: Interv Neuroradiol ISSN: 1591-0199 Impact factor: 1.610