Literature DB >> 18283054

Precision of 3.0 Tesla quantitative magnetic resonance imaging of cartilage morphology in a multicentre clinical trial.

F Eckstein1, R J Buck, D Burstein, H C Charles, J Crim, M Hudelmaier, D J Hunter, G Hutchins, C Jackson, V Byers Kraus, N E Lane, T M Link, L S Majumdar, S Mazzuca, P V Prasad, T J Schnitzer, M S Taljanovic, A Vaz, B Wyman, M-P Hellio Le Graverand.   

Abstract

OBJECTIVE: Quantitative MRI (qMRI) of cartilage morphology is a promising tool for disease-modifying osteoarthritis drug (DMOAD) development. Recent studies at single sites have indicated that measurements at 3.0 Tesla (T) are more reproducible (precise) than those at 1.5 T. Precision errors and stability in multicentre studies with imaging equipment from various vendors have, however, not yet been evaluated.
METHODS: A total of 158 female participants (97 Kellgren and Lawrence grade (KLG) 0, 31 KLG 2 and 30 KLG 3) were imaged at 7 clinical centres using Siemens Magnetom Trio and GE Signa Excite magnets. Double oblique coronal acquisitions were obtained at baseline and at 3 months, using water excitation spoiled gradient echo sequences (1.0x0.31x0.31 mm3 resolution). Segmentation of femorotibial cartilage morphology was performed using proprietary software (Chondrometrics GmbH, Ainring, Germany).
RESULTS: The precision error (root mean square coefficient of variation (RMS CV)%) for cartilage thickness/volume measurements ranged from 2.1%/2.4% (medial tibia) to 2.9%/3.3% (lateral weight-bearing femoral condyle) across all participants. No significant differences in precision errors were observed between KLGs, imaging sites, or scanner manufacturers/types. Mean differences between baseline and 3 months ranged from <0.1% (non-significant) in the medial to 0.94% (p<0.01) in the lateral femorotibial compartment, and were 0.33% (p<0.02) for the total femorotibial subchondral bone area.
CONCLUSIONS: qMRI performed at 3.0 T provides highly reproducible measurements of cartilage morphology in multicentre clinical trials with equipment from different vendors. The technology thus appears sufficiently robust to be recommended for large-scale multicentre trials.

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Year:  2008        PMID: 18283054     DOI: 10.1136/ard.2007.076919

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  37 in total

1.  Comparison between different implementations of the 3D FLASH sequence for knee cartilage quantification.

Authors:  Martin Hudelmaier; Christian Glaser; Christian Pfau; Felix Eckstein
Journal:  MAGMA       Date:  2011-12-14       Impact factor: 2.310

2.  Exploring cartilage damage in gout using 3-T MRI: distribution and associations with joint inflammation and tophus deposition.

Authors:  I Popovich; N Dalbeth; A Doyle; Q Reeves; F M McQueen
Journal:  Skeletal Radiol       Date:  2014-04-01       Impact factor: 2.199

3.  Magnitude and regional distribution of cartilage loss associated with grades of joint space narrowing in radiographic osteoarthritis--data from the Osteoarthritis Initiative (OAI).

Authors:  F Eckstein; W Wirth; D J Hunter; A Guermazi; C K Kwoh; D R Nelson; O Benichou
Journal:  Osteoarthritis Cartilage       Date:  2010-02-18       Impact factor: 6.576

4.  Five-Year Follow-up of Knee Joint Distraction: Clinical Benefit and Cartilaginous Tissue Repair in an Open Uncontrolled Prospective Study.

Authors:  Jan-Ton A D van der Woude; Karen Wiegant; Peter M van Roermund; Femke Intema; Roel J H Custers; Felix Eckstein; Jaap M van Laar; Simon C Mastbergen; Floris P J G Lafeber
Journal:  Cartilage       Date:  2016-08-26       Impact factor: 4.634

5.  Greater Lateral Femorotibial Cartilage Loss in Osteoarthritis Initiative Participants With Incident Total Knee Arthroplasty: A Prospective Cohort Study.

Authors:  Wolfgang Hitzl; Wolfgang Wirth; Susanne Maschek; Sebastian Cotofana; Michael Nevitt; Markus R John; Christoph Ladel; Felix Eckstein
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-10       Impact factor: 4.794

6.  Comparison of 1-year vs 2-year change in regional cartilage thickness in osteoarthritis results from 346 participants from the Osteoarthritis Initiative.

Authors:  W Wirth; S Larroque; R Y Davies; M Nevitt; A Gimona; F Baribaud; J H Lee; O Benichou; B T Wyman; M Hudelmaier; S Maschek; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2010-10-31       Impact factor: 6.576

7.  Comparison of ultrasound speed in articular cartilage measured by different time-of-flight methods.

Authors:  Satoru Ohashi; Isao Ohnishi; Takuya Matsumoto; Juntaro Matsuyama; Masahiko Bessho; Kenji Tobita; Masako Kaneko; Kozo Nakamura
Journal:  J Med Ultrason (2001)       Date:  2011-08-11       Impact factor: 1.314

8.  The relationship between prevalent medial meniscal intrasubstance signal changes and incident medial meniscal tears in women over a 1-year period assessed with 3.0 T MRI.

Authors:  Michel D Crema; David J Hunter; Frank W Roemer; Ling Li; Monica D Marra; Marcello H Nogueira-Barbosa; Marie-Pierre Hellio Le Graverand; Bradley T Wyman; Ali Guermazi
Journal:  Skeletal Radiol       Date:  2011-05-08       Impact factor: 2.199

9.  Medial-to-lateral ratio of tibiofemoral subchondral bone area is adapted to alignment and mechanical load.

Authors:  Felix Eckstein; Martin Hudelmaier; September Cahue; Meredith Marshall; Leena Sharma
Journal:  Calcif Tissue Int       Date:  2009-01-16       Impact factor: 4.333

10.  Patellar skin surface temperature by thermography reflects knee osteoarthritis severity.

Authors:  Anna E Denoble; Norine Hall; Carl F Pieper; Virginia B Kraus
Journal:  Clin Med Insights Arthritis Musculoskelet Disord       Date:  2010-10-15
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