Literature DB >> 8895219

Cartilage thickness measurement in magnetic resonance imaging.

B Kladny1, H Bail, B Swoboda, H Schiwy-Bochat, W F Beyer, G Weseloh.   

Abstract

To assess the accuracy of cartilage thickness measurements in magnetic resonance imaging (MRI), we compared data obtained by cartilage thickness measurements in MRI with corresponding histological sections of 14 human proximal tibial articular surfaces. Each proximal tibial articular surface was cut into five medial and lateral slices and each of these slices was divided into three sectors providing 420 sectors, 406 of which were evaluated in our study. The overall correlation coefficient (r) was 0.96. Topographical differences were found. The lowest correlation coefficient in our series was observed in the anterior part of the medial tibial plateau (r = 0.88). Cartilage thickness measurements in MRI were more accurate in cartilage thicker than 2 mm (r = 0.94) than in thinner cartilage layers (r = 0.73). There were no significant differences in cartilage thickness measurements in different grades of osteoarthritis. However, the mean percentage difference between cartilage thickness in MRI and histology was about 10% in our series.

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Mesh:

Year:  1996        PMID: 8895219     DOI: 10.1016/s1063-4584(96)80014-8

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  10 in total

Review 1.  Therapeutic targets in osteoarthritis: from today to tomorrow with new imaging technology.

Authors:  J-P Pelletier; J Martel-Pelletier
Journal:  Ann Rheum Dis       Date:  2003-11       Impact factor: 19.103

2.  Use magnetic resonance imaging to assess articular cartilage.

Authors:  Yuanyuan Wang; Anita E Wluka; Graeme Jones; Changhai Ding; Flavia M Cicuttini
Journal:  Ther Adv Musculoskelet Dis       Date:  2012-04       Impact factor: 5.346

Review 3.  [Imaging of osteoarthritis of the peripheral joints].

Authors:  J Zacher; H D Carl; B Swoboda; M Backhaus
Journal:  Z Rheumatol       Date:  2007-05       Impact factor: 1.372

4.  Thickness of human articular cartilage in joints of the lower limb.

Authors:  D E Shepherd; B B Seedhom
Journal:  Ann Rheum Dis       Date:  1999-01       Impact factor: 19.103

5.  Diagnostic performance of in vivo 3-T MRI for articular cartilage abnormalities in human osteoarthritic knees using histology as standard of reference.

Authors:  Ehsan Saadat; Bjoern Jobke; Bill Chu; Ying Lu; Jonathan Cheng; Xiaojuan Li; Michael D Ries; Sharmila Majumdar; Thomas M Link
Journal:  Eur Radiol       Date:  2008-05-20       Impact factor: 5.315

6.  Minimum joint space width (mJSW) of patellofemoral joint on standing "skyline" radiographs: test-retest reproducibility and comparison with quantitative magnetic resonance imaging (qMRI).

Authors:  Paolo Simoni; Sanaa Jamali; Adelin Albert; Saara Totterman; Edward Schreyer; Jose G Tamez-Peña; Bruno Beomonte Zobel; Victoria Alvarez Miezentseva; Philippe Gillet
Journal:  Skeletal Radiol       Date:  2013-08-24       Impact factor: 2.199

7.  Delayed Computed Tomography Arthrography of Human Knee Cartilage In Vivo.

Authors:  Harri T Kokkonen; Antti S Aula; Heikki Kröger; Juha-Sampo Suomalainen; Eveliina Lammentausta; Esa Mervaala; Jukka S Jurvelin; Juha Töyräs
Journal:  Cartilage       Date:  2012-10       Impact factor: 4.634

8.  Comparison of Different Approaches for Measuring Tibial Cartilage Thickness.

Authors:  Jennifer Maier; Marianne Black; Serena Bonaretti; Bastian Bier; Bjoern Eskofier; Jang-Hwan Choi; Marc Levenston; Garry Gold; Rebecca Fahrig; Andreas Maier
Journal:  J Integr Bioinform       Date:  2017-07-28

9.  MRI-based or CT-based patient-specific instrumentation in Total knee Arthroplasty: How do the two systems compare?

Authors:  Dong-Geun Kang; Kang-Il Kim; Jung-Kwon Bae
Journal:  Arthroplasty       Date:  2020-01-14

10.  Low field magnetic resonance imaging of the equine distal interphalangeal joint: Comparison between weight-bearing and non-weight-bearing conditions.

Authors:  Laurence Evrard; Fabrice Audigié; Lélia Bertoni; Sandrine Jacquet; Jean-Marie Denoix; Valeria Busoni
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

  10 in total

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