Li M, Liang W, Yue P, Jiang X, Zhao Z, Zhao B, Xu Z, Mang J. Does radiological conjugate eye deviation sign play a role in acute stroke imaging? A meta-analysis.
J Neurol 2021;
269:1142-1153. [PMID:
33839904 DOI:
10.1007/s00415-021-10540-7]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 03/29/2021] [Accepted: 03/31/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE
The diagnostic value of non-contrast CT (NCCT) in acute stroke imaging remains indispensable, especially under emergency conditions with limited resources. The radiological conjugate eye deviation (RCED) has been demonstrated as a NCCT sign to predict acute ischemic stroke (AIS) or AIS secondary to large vessel occlusion (LVO) in recent studies. We performed a meta-analysis to gain a better understanding into the predictive role of RCED for AISs and LVO-AISs.
METHODS
We conducted a systematic literature search using PubMed, Embase, and Cochrane. The search focused on studies published between January 2000 and August 2020 that reported the predictive value of RCED for the diagnosis of AIS or LVO-AIS. Principal measurements of the meta-analysis were the overall sensitivity, specificity, the positive likelihood ratio (PLR), and the negative likelihood ratio (NLR) of RCED in predicting AIS and LVO-AIS.
RESULTS
We included 11 studies (n = 2304). For AIS, RCED had a sensitivity of 0.37 (95% CI 0.27-0.47), a specificity of 0.86 (95% CI 0.73-0.93), the area under the receiver operating characteristic curve (AUC) was 0.58 (95% CI 0.53-0.62), PLR was 2.5 (95% CI 1.5-4.4), and NLR was 0.74 (95% CI 0.65-0.84). For LVO-AIS, RCED had a sensitivity of 0.63 (95% CI 0.46-0.77), a specificity of 0.77 (95% CI 0.71-0.82), AUC was 0.63 (95% CI 0.46-0.77), PLR was 2.7 (95% CI 1.7-4.3), and NLR was 0.49 (95% CI 0.3-0.78).
CONCLUSION
RCED can be used to predict LVO-AIS. It is expected that this method will be extensively used and validated in acute stroke imaging, especially under emergency conditions with limited resources.
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