Weilin Xu1, Liansheng Gao1, Tao Li1, Neha Darshana Ramdoyal2, Jianmin Zhang1,3,4, Anwen Shao1. 1. Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. 2. School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. 3. Brain Research Institute, Zhejiang University, Hangzhou, Zhejiang, China. 4. Collaborative Innovation Center for Brain Science, Zhejiang University, Hangzhou, Zhejiang, China.
Abstract
BACKGROUND: Cerebral venous thrombosis (CVT) is a rare disease, and with poor prognosis. Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly used image modalities for patients with non-specific neurologic symptoms. We present here a meta-analysis to assess the accuracy of CT and MRI in the differential diagnosis of CVT and cerebral venous sinus thrombosis (CVST). MATERIALS AND METHODS: A comprehensive search of the PubMed, EMBASE, Web of Science, Cochrane Database and Chinese Biomedical (CBM) databases was conducted prior to March 20, 2017. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary of the diagnostic accuracy of CT and MRI in correctly identifying CVT and CVST. RESULTS: Twenty-four eligible articles comprising 48 studies (4,595 cases) were included. The pooled sensitivity for CT-CVT/CT-CVST groups is 0.79 (95% confidence interval [CI]: 0.76, 0.82)/0.81(95% CI: 0.78, 0.84), and pooled specificity is 0.90 (95% CI: 0.89, 0.91)/0.89 (0.88, 0.91), with an area under the curve (AUC) for the summary receiver operating characteristic (SROC) of 0.9314/0.9161, respectively. No significant heterogeneity and publication bias was observed across each study. For MRI-CVT/MRI-CVST, the pooled sensitivity is 0.82 (95% CI: 0.78, 0.85)/0.80 (95% CI: 0.76, 0.83), and pooled specificity is 0.92 (95% CI: 0.91, 0.94)/0.91(0.89, 0.92), with an AUC for the SROC of 0.9221/0.9273, respectively. CONCLUSION: This meta-analysis indicates that both CT and MRI have a high level of diagnostic accuracy in the differential diagnosis of CVT and CVST, independent of stage, target for analysis or analysis methods. They could be chosen as alternative sub-optimal gold standards for diagnosing CVT and CVST, especially in emergency. Schattauer GmbH Stuttgart.
BACKGROUND:Cerebral venous thrombosis (CVT) is a rare disease, and with poor prognosis. Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly used image modalities for patients with non-specific neurologic symptoms. We present here a meta-analysis to assess the accuracy of CT and MRI in the differential diagnosis of CVT and cerebral venous sinus thrombosis (CVST). MATERIALS AND METHODS: A comprehensive search of the PubMed, EMBASE, Web of Science, Cochrane Database and Chinese Biomedical (CBM) databases was conducted prior to March 20, 2017. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary of the diagnostic accuracy of CT and MRI in correctly identifying CVT and CVST. RESULTS: Twenty-four eligible articles comprising 48 studies (4,595 cases) were included. The pooled sensitivity for CT-CVT/CT-CVST groups is 0.79 (95% confidence interval [CI]: 0.76, 0.82)/0.81(95% CI: 0.78, 0.84), and pooled specificity is 0.90 (95% CI: 0.89, 0.91)/0.89 (0.88, 0.91), with an area under the curve (AUC) for the summary receiver operating characteristic (SROC) of 0.9314/0.9161, respectively. No significant heterogeneity and publication bias was observed across each study. For MRI-CVT/MRI-CVST, the pooled sensitivity is 0.82 (95% CI: 0.78, 0.85)/0.80 (95% CI: 0.76, 0.83), and pooled specificity is 0.92 (95% CI: 0.91, 0.94)/0.91(0.89, 0.92), with an AUC for the SROC of 0.9221/0.9273, respectively. CONCLUSION: This meta-analysis indicates that both CT and MRI have a high level of diagnostic accuracy in the differential diagnosis of CVT and CVST, independent of stage, target for analysis or analysis methods. They could be chosen as alternative sub-optimal gold standards for diagnosing CVT and CVST, especially in emergency. Schattauer GmbH Stuttgart.
Authors: Andrea Romano; Maria Camilla Rossi-Espagnet; Luca Pasquini; Alberto Di Napoli; Francesco Dellepiane; Giulia Butera; Giulia Moltoni; Olga Gagliardo; Alessandro Bozzao Journal: Tomography Date: 2021-12-22