Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ultrasound Med Biol. 2019 Mar;45(3):628-641. doi: 10.1016/j.ultrasmedbio.2018.11.010. Epub 2019 Jan 3.
A systematic review and meta-analysis were conducted to evaluate the diagnostic accuracy of substantia nigra hyper-echogenicity by transcranial sonography (TCS) for the diagnosis of Parkinson's disease (PD). PubMed, Embase and the Cochrane Library were electronically searched from inception to June 2018 for all relevant studies. The methodological quality of each study was evaluated by two independent reviewers, who used the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Articles reporting information sufficient to calculate the sensitivity and specificity of TCS to diagnose PD were included. Statistical analysis included data pooling, heterogeneity testing, sensitivity analyses and forest meta-regression. Thirty-nine studies (3123 participants with PD) were analyzed. The pooled sensitivity and specificity of TCS were 0.84 (95% confidence interval: 0.81-0.87) and 0.85 (0.80-0.88), respectively, for differentiating PD from normal controls or participants with other parkinsonian syndromes. In the secondary outcome, PD participants exhibited a significant increase in substantia nigra areas than either normal controls (0.14 [0.12-0.16], p < 0.0001) or participants with other parkinsonian syndromes (0.11 [0.08-0.13], p < 0.0001). This meta-analysis revealed the high diagnostic performance of TCS in differentiating patients with PD from both normal controls and participants with other parkinsonian syndromes.
一项系统评价和荟萃分析评估了经颅超声(TCS)检测黑质高回声用于诊断帕金森病(PD)的诊断准确性。从建库到 2018 年 6 月,我们在 PubMed、Embase 和 Cochrane Library 中进行了电子检索,以检索所有相关研究。两位独立的综述作者使用诊断准确性研究质量评估工具 2 评估了每项研究的方法学质量。纳入了报告 TCS 诊断 PD 的敏感性和特异性信息足够的文章。统计分析包括数据合并、异质性检验、敏感性分析和森林荟萃回归。分析了 39 项研究(3123 名 PD 患者)。TCS 区分 PD 与正常对照组或其他帕金森综合征患者的合并敏感性和特异性分别为 0.84(95%置信区间:0.81-0.87)和 0.85(0.80-0.88)。次要结果显示,PD 患者的黑质面积明显大于正常对照组(0.14 [0.12-0.16],p < 0.0001)或其他帕金森综合征患者(0.11 [0.08-0.13],p < 0.0001)。这项荟萃分析表明,TCS 在区分 PD 患者与正常对照组和其他帕金森综合征患者方面具有较高的诊断性能。