Literature DB >> 22906758

Accuracy of magnetic resonance imaging in grading knee chondral defects.

Ming Zhang1, ZhiGang Min, Netra Rana, HongJuan Liu.   

Abstract

PURPOSE: To determine the accuracy of routine magnetic resonance imaging (MRI) in the grading of knee cartilage lesions through a meta-analysis.
METHODS: A search of English-language literature published before February 2012 was carried out in PubMed. Articles using arthroscopy as a gold standard, a 6-knee region dividing method, and a 5-level grading system were included in our meta-analysis. After data extraction, a bivariate mixed-effects model and hierarchical weighted symmetric summary receiver operating curve were used to pool the results of diagnostic tests. A sensitivity analysis was conducted to explore the potential sources of heterogeneity.
RESULTS: Overall, 8 studies were included in the meta-analysis. The overall sensitivity, specificity, diagnostic odds ratio, positive likelihood ratio, and negative likelihood ratio were 75% (95% confidence interval [CI], 62% to 84%), 94% (95% CI, 89% to 97%), 47 (95% CI, 18 to 122), 12.5 (95% CI, 6.5 to 24.2), and 0.27 (95% CI, 0.17 to 0.42), respectively. There was substantial heterogeneity among the results. Sensitivity analysis showed the inconsistency of 2 studies. However, eliminating the 2 studies had no significant impact on the overall results.
CONCLUSIONS: Our results showed that MRI was effective in discriminating normal morphologic cartilage from disease but was less sensitive in detecting knee chondral lesions (higher than grade 1). The negative results of MRI should not prevent a diagnostic arthroscopy. LEVEL OF EVIDENCE: Level II, meta-analysis of Level I and II studies.
Copyright © 2013 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22906758     DOI: 10.1016/j.arthro.2012.04.138

Source DB:  PubMed          Journal:  Arthroscopy        ISSN: 0749-8063            Impact factor:   4.772


  11 in total

1.  Comparison of a fast 5-min knee MRI protocol with a standard knee MRI protocol: a multi-institutional multi-reader study.

Authors:  Erin FitzGerald Alaia; Alex Benedick; Nancy A Obuchowski; Joshua M Polster; Luis S Beltran; Jean Schils; Elisabeth Garwood; Christopher J Burke; I-Yuan Joseph Chang; Soterios Gyftopoulos; Naveen Subhas
Journal:  Skeletal Radiol       Date:  2017-09-26       Impact factor: 2.199

2.  Quantitative MRI techniques of cartilage composition.

Authors:  Stephen J Matzat; Jasper van Tiel; Garry E Gold; Edwin H G Oei
Journal:  Quant Imaging Med Surg       Date:  2013-06

3.  Diagnosis and classification of chondral knee injuries: comparison between magnetic resonance imaging and arthroscopy.

Authors:  Marcus Vinicius Danieli; João Paulo Fernandes Guerreiro; Alexandre deOliveira Queiroz; Hamilton daRosa Pereira; Susi Tagima; Marcelo Garcia Marini; Daniele Cristina Cataneo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-05-10       Impact factor: 4.342

Review 4.  Quantitative radiologic imaging techniques for articular cartilage composition: toward early diagnosis and development of disease-modifying therapeutics for osteoarthritis.

Authors:  Edwin H G Oei; Jasper van Tiel; William H Robinson; Garry E Gold
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-08       Impact factor: 4.794

5.  Correlation of benign incidental findings seen on whole-body PET-CT with knee MRI: patterns of 18F-FDG avidity, intra-articular pathology, and bone marrow edema lesions.

Authors:  Christopher J Burke; William R Walter; Sushma Gaddam; Hien Pham; James S Babb; Joseph Sanger; Fabio Ponzo
Journal:  Skeletal Radiol       Date:  2018-06-21       Impact factor: 2.199

6.  A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

Authors:  Laura M Fayad; Vishwa S Parekh; Rodrigo de Castro Luna; Charles C Ko; Dharmesh Tank; Jan Fritz; Shivani Ahlawat; Michael A Jacobs
Journal:  Invest Radiol       Date:  2021-06-01       Impact factor: 10.065

7.  Use of MRI by radiologists and orthopaedic surgeons to detect intra-articular injuries of the knee.

Authors:  Sergio Figueiredo; Luis Sa Castelo; Ana Daniela Pereira; Luis Machado; Joao Andre Silva; Antonio Sa
Journal:  Rev Bras Ortop       Date:  2017-01-17

Review 8.  The Use of Autologous Chondrocyte and Mesenchymal Stem Cell Implants for the Treatment of Focal Chondral Defects in Human Knee Joints-A Systematic Review and Meta-Analysis.

Authors:  Ilias Ektor Epanomeritakis; Ernest Lee; Victor Lu; Wasim Khan
Journal:  Int J Mol Sci       Date:  2022-04-06       Impact factor: 6.208

9.  Delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) shows no change in cartilage structural composition after viscosupplementation in patients with early-stage knee osteoarthritis.

Authors:  Jasper van Tiel; Max Reijman; Pieter K Bos; Job Hermans; Gerben M van Buul; Esther E Bron; Stefan Klein; Jan A N Verhaar; Gabriel P Krestin; Sita M A Bierma-Zeinstra; Harrie Weinans; Gyula Kotek; Edwin H G Oei
Journal:  PLoS One       Date:  2013-11-06       Impact factor: 3.240

10.  In-office diagnostic arthroscopy for knee and shoulder intra-articular injuries its potential impact on cost savings in the United States.

Authors:  Jeffrey D Voigt; Michael Mosier; Bryan Huber
Journal:  BMC Health Serv Res       Date:  2014-05-05       Impact factor: 2.655

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