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计算机断层扫描肝脏硬度测量和磁共振成像在评估肝硬化患者食管静脉曲张中的应用:系统评价和荟萃分析。

Computed tomography liver stiffness measurement and magnetic resonance imaging in evaluating esophageal varices in cirrhotic patients: A systematic review and meta-analysis.

机构信息

Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated with Capital Medical University, Beijing 100069, China.

Department of Medicine II, Section Molecular Hepatology, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany.

出版信息

World J Gastroenterol. 2020 May 14;26(18):2247-2267. doi: 10.3748/wjg.v26.i18.2247.

DOI:10.3748/wjg.v26.i18.2247
PMID:32476790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7235201/
Abstract

BACKGROUND

Computed tomography (CT), liver stiffness measurement (LSM), and magnetic resonance imaging (MRI) are non-invasive diagnostic methods for esophageal varices (EV) and for the prediction of high-bleeding-risk EV (HREV) in cirrhotic patients. However, the clinical use of these methods is controversial.

AIM

To evaluate the accuracy of LSM, CT, and MRI in diagnosing EV and predicting HREV in cirrhotic patients.

METHODS

We performed literature searches in multiple databases, including PubMed, Embase, Cochrane, CNKI, and Wanfang databases, for articles that evaluated the accuracy of LSM, CT, and MRI as candidates for the diagnosis of EV and prediction of HREV in cirrhotic patients. Summary sensitivity and specificity, positive likelihood ratio and negative likelihood ratio, diagnostic odds ratio, and the areas under the summary receiver operating characteristic curves were analyzed. The quality of the articles was assessed using the quality assessment of diagnostic accuracy studies-2 tool. Heterogeneity was examined by -statistic test and index, and sources of heterogeneity were explored using meta-regression and subgroup analysis. Publication bias was evaluated using Deek's funnel plot. All statistical analyses were conducted using Stata12.0, MetaDisc1.4, and RevMan5.3.

RESULTS

Overall, 18, 17, and 7 relevant articles on the accuracy of LSM, CT, and MRI in evaluating EV and HREV were retrieved. A significant heterogeneity was observed in all analyses ( < 0.05). The areas under the summary receiver operating characteristic curves of LSM, CT, and MRI in diagnosing EV and predicting HREV were 0.86 (95% confidence interval [CI]: 0.83-0.89), 0.91 (95%CI: 0.88-0.93), and 0.86 (95%CI: 0.83-0.89), and 0.85 (95%CI: 0.81-0.88), 0.94 (95%CI: 0.91-0.96), and 0.83 (95%CI: 0.79-0.86), respectively, with sensitivities of 0.84 (95%CI: 0.78-0.89), 0.91 (95%CI: 0.87-0.94), and 0.81 (95%CI: 0.76-0.86), and 0.81 (95%CI: 0.75-0.86), 0.88 (95%CI: 0.82-0.92), and 0.80 (95%CI: 0.72-0.86), and specificities of 0.71 (95%CI: 0.60-0.80), 0.75 (95%CI: 0.68-0.82), and 0.82 (95%CI: 0.70-0.89), and 0.73 (95%CI: 0.66-0.80), 0.87 (95%CI: 0.81-0.92), and 0.72 (95%CI: 0.62-0.80), respectively. The corresponding positive likelihood ratios were 2.91, 3.67, and 4.44, and 3.04, 6.90, and2.83; the negative likelihood ratios were 0.22, 0.12, and 0.23, and 0.26, 0.14, and 0.28; the diagnostic odds ratios were 13.01, 30.98, and 19.58, and 11.93, 49.99, and 10.00. CT scanner is the source of heterogeneity. There was no significant difference in diagnostic threshold effects ( > 0.05) or publication bias ( 0.05).

CONCLUSION

Based on the meta-analysis of observational studies, it is suggested that CT imaging, a non-invasive diagnostic method, is the best choice for the diagnosis of EV and prediction of HREV in cirrhotic patients compared with LSM and MRI.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/08b05efe0c96/WJG-26-2247-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/da60057accf3/WJG-26-2247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/1c98509634d5/WJG-26-2247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/103d262e47f4/WJG-26-2247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/08b05efe0c96/WJG-26-2247-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/da60057accf3/WJG-26-2247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/1c98509634d5/WJG-26-2247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/103d262e47f4/WJG-26-2247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c9f/7235201/08b05efe0c96/WJG-26-2247-g006.jpg
摘要

背景

计算机断层扫描(CT)、肝硬度测量(LSM)和磁共振成像(MRI)是诊断食管静脉曲张(EV)和预测肝硬化患者高危出血性 EV(HREV)的非侵入性诊断方法。然而,这些方法的临床应用存在争议。

目的

评估 LSM、CT 和 MRI 在诊断肝硬化患者 EV 和预测 HREV 中的准确性。

方法

我们在多个数据库中进行了文献检索,包括 PubMed、Embase、Cochrane、CNKI 和万方数据库,以评估 LSM、CT 和 MRI 作为诊断 EV 和预测 HREV 的候选方法的准确性。分析了汇总敏感性和特异性、阳性似然比和阴性似然比、诊断优势比和汇总受试者工作特征曲线下面积。使用诊断准确性研究质量评估工具 2 评估文章的质量。使用卡方检验和 I 2 指数评估异质性,并使用亚组分析和meta 回归探索异质性来源。使用 Deek's 漏斗图评估发表偏倚。所有统计分析均使用 Stata12.0、MetaDisc1.4 和 RevMan5.3 进行。

结果

共检索到 18 篇、17 篇和 7 篇关于 LSM、CT 和 MRI 评估 EV 和 HREV 准确性的相关文章。所有分析均存在显著异质性(<0.05)。LSM、CT 和 MRI 诊断 EV 和预测 HREV 的汇总受试者工作特征曲线下面积分别为 0.86(95%置信区间[CI]:0.83-0.89)、0.91(95%CI:0.88-0.93)和 0.86(95%CI:0.83-0.89)、0.85(95%CI:0.81-0.88)、0.94(95%CI:0.91-0.96)和 0.83(95%CI:0.79-0.86),敏感性分别为 0.84(95%CI:0.78-0.89)、0.91(95%CI:0.87-0.94)和 0.81(95%CI:0.76-0.86),特异性分别为 0.71(95%CI:0.60-0.80)、0.75(95%CI:0.68-0.82)和 0.82(95%CI:0.70-0.89),阳性似然比分别为 2.91、3.67 和 4.44,阴性似然比分别为 0.22、0.12 和 0.23,诊断优势比分别为 13.01、30.98 和 19.58,11.93、49.99 和 10.00。CT 扫描仪是异质性的来源。诊断阈值效应(>0.05)或发表偏倚(>0.05)无显著差异。

结论

基于观察性研究的荟萃分析结果表明,与 LSM 和 MRI 相比,CT 成像作为一种非侵入性诊断方法,是诊断肝硬化患者 EV 和预测 HREV 的最佳选择。

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