Background: Osteoarthritis is a major joint disease between the elderly with the knee is the most common joint involved. Ultrasound is used for non-invasive assessment of knee joint status with evaluation of the meniscal position, joint space narrowing and presence of osteophytic lipping under load-bearing position for early detection of osteoarthritis. The aim of the study is to assess the role of high-resolution ultrasonography with dynamic assessment in evaluation of the medial compartment knee joint osteoarthritis.To investigate the correlation between the O.A grade determined by radiography and that by ultrasound evaluation and to investigate the diagnostic accuracy of O.A determined using US. Methods: This study was carried out at Radio diagnosis Department, Zagazig University Hospitals. The present study was carried on 35 patients of knee osteoarthritis. Diagnostic work up was done including plain radiography & MSUS. Results: Total of 38 of the 40 knees were correctly diagnosed by ultrasonography with sensitivity of 95 % and specificity of 80 %. The predictive value positive was 86.36 % and the predictive value negative was 92.3 % with 88.5% accuracy. Conclusions: Our results indicate that knee ultrasonography provides valuable information for the assessment of knee joint osteoarthritis. However, MSUS has an advantage of dynamic evaluation with qualitative and semi-quantitative assessment for early detection of knee O.A with good diagnostic accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.