Eftekharsadat Bina, Khakbiz Saideh, Badali Ahmadreza, Nasiri Ehsan, Babaei-Ghazani Arash
Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
J Res Med Sci. 2024 Jul 12;29:39. doi: 10.4103/jrms.jrms_489_23. eCollection 2024.
Knee osteoarthritis (KOA) is the most expected diagnosis for an arthropathy that causes discomfort and disability in older adults. Radiography is frequently used to assess patients with KOA and there have been few prior research evaluating the diagnostic efficacy of ultrasonography (US). The current study sought to assess the diagnostic efficacy of the US in identifying various characteristics of KOA in the scientific literature.
This study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta Analyses statement. A systematic search in PubMed, Web of Science, Scopus, and Embase databases was completed in March 2023. This study focused on the diagnostic value of US in KOA, including sensitivity, specificity, positive predictive value, and negative predictive value. The quality assessment was conducted using the Joanna Briggs Institute critical appraisal tools.
Out of 552 records of database searches, finally, two studies met this systematic review's eligibility criteria and were included in the study. Both of the included studies were cross sectional studies. US demonstrated remarkable sensitivity with adequate specificity for the detection of radiographic knee OA; however, it was found not to be an appropriate method for the detection of early KOA.
This study as the first systematic review aims to evaluate the diagnostic performance of US in detecting KOA. These findings shed light on the importance of investigating the different US features in the evaluation of KOA to reach appropriate sensitivity and specificity in the diagnosis.
膝关节骨关节炎（KOA）是导致老年人不适和残疾的关节病最常见的诊断。X线摄影常用于评估KOA患者，此前很少有研究评估超声检查（US）的诊断效能。本研究旨在评估科学文献中US在识别KOA各种特征方面的诊断效能。
本研究按照系统评价和Meta分析的首选报告项目声明进行。2023年3月在PubMed、科学网、Scopus和Embase数据库中完成了系统检索。本研究关注US在KOA中的诊断价值，包括敏感性、特异性、阳性预测值和阴性预测值。使用乔安娜·布里格斯研究所的批判性评价工具进行质量评估。
在数据库检索的552条记录中，最终有两项研究符合本系统评价的纳入标准并被纳入研究。纳入的两项研究均为横断面研究。US在检测膝关节X线骨关节炎方面具有显著的敏感性和足够的特异性；然而，发现它不是检测早期KOA的合适方法。
本研究作为首次系统评价旨在评估US在检测KOA方面的诊断性能。这些发现揭示了在评估KOA时研究不同US特征以在诊断中达到适当敏感性和特异性的重要性。
