Literature DB >> 8544016

Quantitation of articular cartilage using magnetic resonance imaging and three-dimensional reconstruction.

K W Marshall1, D J Mikulis, B M Guthrie.   

Abstract

A quadrature knee coil was used in conjunction with a magnetic resonance imaging scanner for quantitation of test phantom volumes, ex vivo bovine cartilage thickness, and in vivo human articular cartilage volumes. Optimal magnetic resonance parameters were obtained by testing a series of spin-echo and gradient-echo pulse sequences to determine the sequence that provided the highest resolution of articular cartilage and best defined the cartilage interfaces with synovial fluid and subchondral bone. Extensive testing revealed that two sequences were required to define articular cartilage accurately: a spoiled gradient-echo sequence and a steady state free-precession sequence. Three-dimensional reconstruction and statistical analyses of test phantoms and of bovine and human cartilage images were performed. Differences between actual phantom volumes and three-dimensional measurements demonstrated that, as magnetic resonance slice thickness was increased, the measurement variability also increased (coefficient of variation ranging from 1.7 +/- 1.3% for 1.0 mm slice thickness to 22.7 +/- 1.9% for 3.0 mm slice thickness). When the phantom volume was greater than 1,800 mm3, the intraobserver, interobserver and interscan accuracies were greater than 97, 98, and 96%, respectively. This high degree of reproducibility pertained for the data on in vivo human cartilage data also. For experienced observers, the intraobserver and interobserver reproducibility were greater than 98 and 97%, respectively. The interscan reproducibility was greater than 98%. These data demonstrate that improved magnetic resonance pulse sequencing, in conjunction with three-dimensional reconstruction and measurement techniques, can accurately and reproducibly measure the volume of articular cartilage. Clinical application of this approach offers the potential for early diagnosis of osteoarthritis and for serial, noninvasive assessment of changes in articular cartilage volume in response to therapeutic modalities.

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Year:  1995        PMID: 8544016     DOI: 10.1002/jor.1100130603

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  6 in total

1.  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 2.  The clinical utility and diagnostic performance of magnetic resonance imaging for identification of early and advanced knee osteoarthritis: a systematic review.

Authors:  Carmen E Quatman; Carolyn M Hettrich; Laura C Schmitt; Kurt P Spindler
Journal:  Am J Sports Med       Date:  2011-07       Impact factor: 6.202

Review 3.  Responsiveness and reliability of MRI in knee osteoarthritis: a meta-analysis of published evidence.

Authors:  D J Hunter; W Zhang; P G Conaghan; K Hirko; L Menashe; W M Reichmann; E Losina
Journal:  Osteoarthritis Cartilage       Date:  2011-03-23       Impact factor: 6.576

4.  Dependence of zonal chondrocyte water transport properties on osmotic environment.

Authors:  Elizabeth S Oswald; Pen-Hsiu Grace Chao; J Chloe Bulinski; Gerard A Ateshian; Clark T Hung
Journal:  Cell Mol Bioeng       Date:  2008-12-01       Impact factor: 2.321

5.  Cartilage imaging at 3.0T with gradient refocused acquisition in the steady-state (GRASS) and IDEAL fat-water separation.

Authors:  Richard Kijowski; Michael Tuite; Leo Passov; Ann Shimakawa; Huanzhou Yu; Huanzhou Hu; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2008-07       Impact factor: 4.813

6.  Multiecho IDEAL gradient-echo water-fat separation for rapid assessment of cartilage volume at 1.5 T: initial experience.

Authors:  Christina A Chen; Wenmiao Lu; Chand T John; Brian A Hargreaves; Scott B Reeder; Scott L Delp; Robert A Siston; Garry E Gold
Journal:  Radiology       Date:  2009-06-15       Impact factor: 11.105

  6 in total

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