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The “Central Vein Sign” on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data

机译:T2 * -weighted图像上的“中央静脉标志”作为多发性硬化症的诊断工具:使用个体患者数据进行系统审查和荟萃分析

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We aimed to evaluate the pooled incidence of central vein sign on T2*-weighted images from patients with multiple sclerosis (MS), and to determine the diagnostic performance of this central vein sign for differentiating MS from other white matter lesions and provide an optimal cut-off value. A computerized systematic search of the literature in PUBMED and EMBASE was conducted up to December 14, 2018. Original articles investigating central vein sign on T2*-weighted images of patients with MS were selected. The pooled incidence was obtained using random-effects model. The pooled sensitivity and specificity were obtained using a bivariate random-effects model. An optimal cut-off value for the proportion of lesions with a central vein sign was calculated from those studies providing individual patient data. Twenty-one eligible articles covering 501 patients with MS were included. The pooled incidence of central vein sign at the level of individual lesion in patients with MS was 74% (95% CI, 65-82%). The pooled sensitivity and pooled specificity for the diagnostic performance of the central vein sign were 98% (95% CI, 92-100%) and 97% (95% CI, 91-99%), respectively. The area under the HSROC curve was 1.00 (95% CI, 0.99-1.00). The optimal cut-off value for the proportion of lesions with a central vein sign was found to be 45%. Although various T2*-weighted images have been used across studies, the current evidence supports the use of the central vein sign on T2*-weighted images to differentiate MS from other white matter lesions.
机译:我们旨在评估中央静脉签署的汇集发病率,从多发性硬化症(MS)患者中的T2 *重量图像,并确定该中央静脉标志的诊断性能,用于区分MS与其他白质病变,并提供最佳切割-off值。在PubMed and Embase中的文献中的计算机化系统搜索到2018年12月14日。调查Central vein在T2 * -weigutioned患者的患者的图像中进行了原创文章。使用随机效应模型获得汇集的发病率。使用双变量随机效应模型获得汇集的敏感性和特异性。从提供个体患者数据的研究中计算了具有中央静脉标志的病变比例的最佳截止值。包括二十一条符合条件的文章,涵盖501例MS患者。中央静脉汇集在MS患者的个体病变水平上的发病率为74%(95%CI,65-82%)。中央静脉标志诊断性能的汇集灵敏度和汇总特异性分别为98%(95%CI,92-100%)和97%(95%CI,91-99%)。 HSROC曲线下的区域为1.00(95%CI,0.99-1.00)。发现具有中央静脉标志的病变比例的最佳截止值为45%。虽然在研究中使用了各种T2 * - 重量的图像,但目前的证据支持使用中央静脉签署T2 * - 重量的图像来区分来自其他白质病变的MS。

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