Literature DB >> 11121699

The influence of the resolution and contrast on measuring the articular cartilage volume in magnetic resonance images.

P A Hardya1, R Newmark, Y M Liu, D Meier, S Norris, D W Piraino, A Shah.   

Abstract

The progression of OA in patients may be followed by measuring the volume of articular cartilage from MR images. We attempted to determine the reproducibility of volume measurements of articular cartilage made from magnetic resonance images of the knees and the dependence of the reproducibility on image resolution and contrast-to-noise. A fat-suppressed 3D technique was used to generate four image sets with different image resolution. Each patient was imaged twice to obtain image pairs at each resolution. To assess the dependence of reproducibility on noise we generated six image sets for each patient by adding noise to the original images and repeating the comparison. On each image set, the femoral, tibial, and patellar cartilage were outlined by a combination of computer and manual methods, and the images were used to calculate the volume of each cartilage plate. Comparing the coefficient of variance between the volume measurements made from the two visits, the volume measurements made from images with the highest resolution (0.275 x 0.275 x 1.0 mm) had the highest reproducibility. The high resolution images of the tibia and femur had the least partial-volume averaging and, as a result, better defined the boundaries between cartilage and adjacent tissues. A different trend was evident for the patella. For studies of osteoarthritis therapies, we recommend using MR images with the highest possible in-plane spatial resolution to provide the most reproducible volume measurements of knee cartilage.

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Year:  2000        PMID: 11121699     DOI: 10.1016/s0730-725x(00)00186-7

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

Review 1.  Imaging osteoarthritis: magnetic resonance imaging versus x-ray.

Authors:  Charles Peterfy; Manish Kothari
Journal:  Curr Rheumatol Rep       Date:  2006-02       Impact factor: 4.592

2.  Quantitative measurement of femoral condyle cartilage in the knee by MRI: validation study by multireaders.

Authors:  Yasunari Fujinaga; Hiroshi Yoshioka; Toshinori Sakai; Yoko Sakai; Felipe Souza; Philipp Lang
Journal:  J Magn Reson Imaging       Date:  2013-10-07       Impact factor: 4.813

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.  Rapid isotropic resolution cartilage assessment using radial alternating repetition time balanced steady-state free-precession imaging.

Authors:  Habib Al saleh; Larry Hernandez; Kenneth S Lee; Humberto G Rosas; Walter F Block; Richard Kijowski
Journal:  J Magn Reson Imaging       Date:  2013-10-22       Impact factor: 4.813

5.  Non-invasive MRI assessment of the articular cartilage in clinical studies and experimental settings.

Authors:  Yi-Xiang J Wang; James F Griffith; Anil T Ahuja
Journal:  World J Radiol       Date:  2010-01-28

6.  Quantitative assessment of articular cartilage morphology via EPIC-microCT.

Authors:  L Xie; A S P Lin; M E Levenston; R E Guldberg
Journal:  Osteoarthritis Cartilage       Date:  2008-09-11       Impact factor: 6.576

Review 7.  Probing articular cartilage damage and disease by quantitative magnetic resonance imaging.

Authors:  Deva D Chan; Corey P Neu
Journal:  J R Soc Interface       Date:  2013-01-06       Impact factor: 4.118

8.  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

9.  Cartilage imaging of a rabbit knee using dual-energy X-ray microscopy and 1.0 T and 9.4 T magnetic resonance imaging.

Authors:  Ying Zhu; Sarah L Manske; Steven K Boyd
Journal:  J Orthop Translat       Date:  2015-08-28       Impact factor: 5.191

  9 in total

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