Xu Peng, Lyu Lulu, Sami Muhammad Umair, Lu Xin, Ge Haitao, Rong Yutao, Hu Chunfeng, Xu Kai
Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu 221002, P.R. China.
Department of CT and MRI, Xuzhou Central Hospital, Xuzhou, Jiangsu 221009, P.R. China.
Exp Ther Med. 2018 Dec;16(6):4873-4878. doi: 10.3892/etm.2018.6764. Epub 2018 Sep 19.
In recent years, the role of magnetic resonance angiography (MRA) in the diagnosis of Budd-Chiari Syndrome (BCS) has been the focus of various clinical studies. The purpose of the present study was to perform a meta-analysis of the diagnostic performance of MRA in patients with BCS by using digital subtraction angiography as a reference method. The search strategy for relevant research articles was based on the Cochrane Handbook for Systematic Reviews, and literature databases (including PubMed, Medline and China National Knowledge Infrastructure) and reference lists of retrieved studies published from 2000 to 2016 were searched. The Quality Assessment of Diagnostic Accuracy Studies tool was used to assess the methodological quality of these research studies by two reviewers independently. Summary estimates of the sensitivity, specificity, positive/negative likelihood ratio (LR+/-), diagnostic odds ratio (DOR) and the summary receiver operating characteristic (SROC) curve of MRA in identifying BCS were obtained. The pooled MRA estimates had a sensitivity of 97.6% [95% confidence interval (CI), 95.1-99.0%], a specificity of 70.7% (95% CI, 54.5-83.9%), an LR+ of 3.163 (95% CI, 2.03-4.94) and an LR- of 0.045 (95% CI, 0.02-0.09). The overall DOR was 94.053 (95% CI, 32.71-270.41). The area under the SROC curve was 0.972. In conclusion, MRA is an accurate modality for evaluating BCS.
近年来,磁共振血管造影(MRA)在布加综合征(BCS)诊断中的作用一直是各类临床研究的焦点。本研究的目的是以数字减影血管造影为参照方法,对MRA诊断BCS患者的诊断性能进行荟萃分析。相关研究文章的检索策略基于《Cochrane系统评价手册》,检索了文献数据库(包括PubMed、Medline和中国知网)以及2000年至2016年发表的检索研究的参考文献列表。两位评价者独立使用诊断准确性研究质量评估工具来评估这些研究的方法学质量。获得了MRA在识别BCS方面的敏感性、特异性、阳性/阴性似然比(LR+/-)、诊断比值比(DOR)以及汇总受试者工作特征(SROC)曲线的汇总估计值。汇总的MRA估计值的敏感性为97.6% [95%置信区间(CI),95.1 - 99.0%],特异性为70.7%(95% CI,54.5 - 83.9%),LR+为3.163(95% CI,2.03 - 4.94),LR-为0.045(95% CI,0.02 - 0.09)。总体DOR为94.053(95% CI,32.71 - 270.41)。SROC曲线下面积为0.972。总之,MRA是评估BCS的一种准确方法。