Literature DB >> 19631069

Radiographic-based grading methods and radiographic measurement of joint space width in osteoarthritis.

Marie-Pierre Hellio Le Graverand1, Steve Mazzuca, Jeff Duryea, Alan Brett.   

Abstract

Accurate and highly reproducible measurements of the rate of progression of osteoarthritis is crucial to assessing structural change, and requires adherence to exacting standards of positioning, which include specifications for flexion and rotation of the joint, and angulation of the x-ray beam. The progression of osteoarthritis traditionally has been measured using radiographic joint space width (JSW). Over the past two decades, numerous knee radiographic protocols have been developed with various levels of complexity and performance as they relate to detecting JSW loss (ie, joint space narrowing). Semiautomated software has been developed to improve the accuracy of JSW measurement over manual methods. JSW measurements include minimum JSW, mean JSW or joint space area and JSW at fixed locations.

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Year:  2009        PMID: 19631069     DOI: 10.1016/j.rcl.2009.04.004

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  13 in total

1.  Radiographic measures of settlement phenomenon in patients with medial compartment knee osteoarthritis.

Authors:  Tianhua Dong; Wei Chen; Fei Zhang; Bing Yin; Ye Tian; Yingze Zhang
Journal:  Clin Rheumatol       Date:  2015-12-28       Impact factor: 2.980

2.  The posterior-anterior flexed view is better than the anterior-posterior view for assessing osteoarthritis of the knee.

Authors:  Kilian Rueckl; Friedrich Boettner; Noor Maza; Armin Runer; Ulrich Bechler; Peter Sculco
Journal:  Skeletal Radiol       Date:  2017-11-20       Impact factor: 2.199

3.  Morphological, biochemical and mechanical properties of articular cartilage and subchondral bone in rat tibial plateau are age related.

Authors:  Pengling Ren; Haijun Niu; He Gong; Rui Zhang; Yubo Fan
Journal:  J Anat       Date:  2017-12-20       Impact factor: 2.610

4.  Identification of the most important features of knee osteoarthritis structural progressors using machine learning methods.

Authors:  Afshin Jamshidi; Mickael Leclercq; Aurelie Labbe; Jean-Pierre Pelletier; François Abram; Arnaud Droit; Johanne Martel-Pelletier
Journal:  Ther Adv Musculoskelet Dis       Date:  2020-08-13       Impact factor: 5.346

Review 5.  Knee osteoarthritis diagnosis, treatment and associated factors of progression: part II.

Authors:  Behzad Heidari
Journal:  Caspian J Intern Med       Date:  2011

6.  Defining the presence of radiographic knee osteoarthritis: a comparison between the Kellgren and Lawrence system and OARSI atlas criteria.

Authors:  Adam G Culvenor; Cathrine N Engen; Britt Elin Øiestad; Lars Engebretsen; May Arna Risberg
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-07-31       Impact factor: 4.342

Review 7.  Why radiography should no longer be considered a surrogate outcome measure for longitudinal assessment of cartilage in knee osteoarthritis.

Authors:  Ali Guermazi; Frank W Roemer; Deborah Burstein; Daichi Hayashi
Journal:  Arthritis Res Ther       Date:  2011-11-24       Impact factor: 5.156

8.  Optimisation of X-Rays Imaging Techniques for the Assessment of Joint Space.

Authors:  Paolo Simoni
Journal:  J Belg Soc Radiol       Date:  2018-02-07       Impact factor: 1.894

9.  The posterior-anterior-flexed view is essential for the evaluation of valgus osteoarthritis. A prospective study on 134 valgus knees.

Authors:  Kilian Rueckl; Armin Runer; Ulrich Bechler; Martin Faschingbauer; Sebastian Philipp Boelch; Peter Keyes Sculco; Friedrich Boettner
Journal:  BMC Musculoskelet Disord       Date:  2019-12-30       Impact factor: 2.362

10.  Three-dimensional finite-element analysis of aggravating medial meniscus tears on knee osteoarthritis.

Authors:  Lan Li; Longfei Yang; Kaijia Zhang; Liya Zhu; Xingsong Wang; Qing Jiang
Journal:  J Orthop Translat       Date:  2019-08-07       Impact factor: 5.191

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