超声波在骨折诊断中的应用--比较荟萃分析和系统综述。

Eric Matschiner, Oana Serban, Daniela Fodor, Michael Blaivas, Rudolf Horn, Jonas Koch, Marie-Lise Jakobi, Lara Grevelding, Joseph Osterwalder, David Srivastava, Christoph Frank Dietrich
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引用次数: 0

摘要

目的:本荟萃分析评估了过去 47 年中超声(US)对骨折的诊断准确性,并将其与既定的成像标准进行了比较:我们遵循 PRISMA 2020 指南,使用定制搜索策略搜索 Medline、EMBASE 和 Cochrane 图书馆。我们分析了不同亚组的主要结果,即 US 诊断性能,包括临床相关性、患者年龄和解剖学考虑因素。采用QUADAS-2工具评估研究质量并尽量减少偏倚:在初步确定的 5107 项研究中,有 75 项符合纳入标准,涉及 7769 名参与者和 3575 例确诊骨折。大多数研究都是前瞻性的(79%),并主要将 US 与普通射线照相术(76%)和 CT 扫描(19%)进行了比较。其中 61 项研究可进行系统分析,结果显示 US 的敏感性和特异性分别为 91% (95% CI: 90%-92%) 和 91.3% (95% CI: 90.5%-92.1%) 。似然比良好,正值为 9.955,负值为 0.087,几率比为 132.67。曲线下面积为 0.9715,表明尽管存在显著的异质性(灵敏度 I²=81.3% ,特异性 89.3%),但诊断准确性很高:证据支持 US 是一种高度准确的骨折诊断工具,可与 CT 和放射摄影等标准成像方法相媲美。其显著的诊断效果,以及在减少疼痛、等待时间和辐射暴露方面的优势,促使其得到更广泛的应用。要将 US 更全面地纳入骨折管理的临床指南,就必须在大规模随机试验中进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasound in bone fracture diagnosis - a comparative meta-analysis and systematic review.

Aim: This meta-analysis evaluates the diagnostic accuracy of ultrasound (US) for bone fractures over the past 47 years, comparing it to established imaging standards.

Material and methods: We adhered to PRISMA 2020 guidelines to search Medline, EMBASE, and the Cochrane Library using tailored search strategies. The primary outcome, US diagnostic performance, was analyzed across various subgroups including clinical relevance, patient age, and anatomical considerations. The QUADAS-2 tool was employed to assess study quality and minimize bias.

Results: From 5,107 initially identified studies, 75 met the inclusion criteria, encompassing 7,769 participants and 3,575 diagnosed fractures. The majority of studies were prospective (79%) and compared US primarily with plain radiography (76%) and CT scans (19%). Of these, 61 studies were amenable to systematic analysis, revealing US to have a sensitivity and specificity of 91% (95% CI: 90%-92%) and 91.3% (95% CI: 90.5%-92.1%), respectively. Likelihood ratios were favorable, with a positive value of 9.955 and a negative value of 0.087, and an odds ratio of 132.67. The area under the curve stood at 0.9715, indicating high diagnostic accuracy despite significant heterogeneity (I²=81.3% for sensitivity, 89.3% for specificity).

Conclusion: The evidence supports US as a highly accurate diagnostic tool for bone fractures, rivalling standard imaging methods like CT and radiography. Its notable diagnostic efficacy, combined with advantages in reducing pain, wait times, and radiation exposure, advocates for its broader application. Further validation in large-scale, randomized trials is essential to integrate US more fully into clinical guidelines for fracture management.

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