Literature DB >> 9678042

Accuracy of cartilage volume and thickness measurements with magnetic resonance imaging.

F Eckstein1, M Schnier, M Haubner, J Priebsch, C Glaser, K H Englmeier, M Reiser.   

Abstract

A noninvasive imaging technique for quantifying articular cartilage is needed for diagnosis, monitoring, and therapy control in osteoarthritis. In this study the accuracy of three-dimensional cartilage volume and thickness measurements in the knee with magnetic resonance imaging was analyzed. Eight cadaveric specimens had sagittal imaging with a fat suppressed gradient echo sequence. After a contrast agent was injected, two sagittal computed tomography data sets were obtained, with the knees being repositioned between the examinations. The cartilage thickness was determined, after three-dimensional reconstruction, using a minimal distance algorithm. The mean absolute volume deviation between magnetic resonance imaging and computed tomography arthrography was 3.3% and that between the two computed tomography data sets was 3.6%. The absolute error in determining the maximal cartilage thickness with magnetic resonance imaging was on average 0.6 intervals (of 0.5-mm thickness) and that between the computed tomography examinations was 0.5 intervals. In a patient with anterior knee pain, a focal cartilage defect was seen with magnetic resonance imaging, and this was verified by arthroscopic examination. Using three-dimensional image processing, magnetic resonance imaging can provide accurate data on cartilage volume and thickness in the human knee joint surfaces. This imaging technique potentially may be valuable in the treatment of patients with joint disease.

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Year:  1998        PMID: 9678042

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  32 in total

Review 1.  The effects of exercise on human articular cartilage.

Authors:  F Eckstein; M Hudelmaier; R Putz
Journal:  J Anat       Date:  2006-04       Impact factor: 2.610

Review 2.  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

3.  Intra- and inter-observer reproducibility of volume measurement of knee cartilage segmented from the OAI MR image set using a novel semi-automated segmentation method.

Authors:  K T Bae; H Shim; C Tao; S Chang; J H Wang; R Boudreau; C K Kwoh
Journal:  Osteoarthritis Cartilage       Date:  2009-06-23       Impact factor: 6.576

4.  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

5.  Automatic atlas-based three-label cartilage segmentation from MR knee images.

Authors:  Liang Shan; Christopher Zach; Cecil Charles; Marc Niethammer
Journal:  Med Image Anal       Date:  2014-06-28       Impact factor: 8.545

6.  Short-term repeatability of joint space width measurements using a magnetic resonance imaging compatible knee positioning device.

Authors:  M F Koff; D W Stanley; P J Weishaar; K K Amrami; K R Kaufman
Journal:  Proc Inst Mech Eng H       Date:  2010       Impact factor: 1.617

7.  [Radiological imaging of osteoarthritis of the knee].

Authors:  M C Wick; W Jaschke; A S Klauser
Journal:  Radiologe       Date:  2012-11       Impact factor: 0.635

8.  Cartilage morphology at 3.0T: assessment of three-dimensional magnetic resonance imaging techniques.

Authors:  Christina A Chen; Richard Kijowski; Lauren M Shapiro; Michael J Tuite; Kirkland W Davis; Jessica L Klaers; Walter F Block; Scott B Reeder; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

Review 9.  Novel contrast mechanisms at 3 Tesla and 7 Tesla.

Authors:  Ravinder R Regatte; Mark E Schweitzer
Journal:  Semin Musculoskelet Radiol       Date:  2008-10-10       Impact factor: 1.777

10.  Rate of cartilage loss at two years predicts subsequent total knee arthroplasty: a prospective study.

Authors:  F M Cicuttini; G Jones; A Forbes; A E Wluka
Journal:  Ann Rheum Dis       Date:  2004-04-28       Impact factor: 19.103

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