Literature DB >> 21692138

Initial results on development and application of statistical atlas of femoral cartilage in osteoarthritis to determine sex differences in structure: data from the Osteoarthritis Initiative.

Hussain Z Tameem1, Siamak Ardekani, Leanne Seeger, Paul Thompson, Usha S Sinha.   

Abstract

PURPOSE: To create an average atlas of knee femoral cartilage morphology, to apply the atlas for quantitative assessment of osteoarthritis (OA), and to study localized sex differences.
MATERIALS AND METHODS: High-resolution 3D magnetic resonance imaging (MRI) data of the knee cartilage collected at 3 T as part of the Osteoarthritis Initiative (OAI) were used. An atlas was created based on images from 30 male Caucasian high-risk subjects with no symptomatic OA at baseline. A female cohort of age- and disease-matched Caucasian subjects was also selected from the OAI database. The Jacobian determinant was calculated from the deformation vector fields that nonlinearly registered each subject to the atlas. Statistical analysis based on the general linear model was used to test for regions of significant differences in the Jacobian values between the two cohorts.
RESULTS: The average Jacobian was larger in women (1.2 ± 0.078) than in men (1.08 ± 0.097), showing that after global scaling to the male template, the female cartilage was thicker in most regions. Regions showing significant structural differences include the medial weight bearing region, the trochlear (femoral) side of the patellofemoral compartment, and the lateral posterior condyle.
CONCLUSION: Sex-based differences in cartilage structure were localized using tensor based morphometry in a cohort of high-risk subjects.
Copyright © 2011 Wiley-Liss, Inc.

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Mesh:

Year:  2011        PMID: 21692138      PMCID: PMC3142327          DOI: 10.1002/jmri.22643

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  38 in total

1.  Regional spatial normalization: toward an optimal target.

Authors:  P Kochunov; J L Lancaster; P Thompson; R Woods; J Mazziotta; J Hardies; P Fox
Journal:  J Comput Assist Tomogr       Date:  2001 Sep-Oct       Impact factor: 1.826

2.  Appearance-based segmentation of medial temporal lobe structures.

Authors:  S Duchesne; J Pruessner; D L Collins
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  Mapping structural differences of the corpus callosum in individuals with 18q deletions using targetless regional spatial normalization.

Authors:  Peter Kochunov; Jack Lancaster; Jean Hardies; Paul M Thompson; Roger P Woods; Jannine D Cody; Daniel E Hale; Angela Laird; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2005-04       Impact factor: 5.038

4.  Deformation-based brain morphometry to track the course of alcoholism: differences between intra-subject and inter-subject analysis.

Authors:  Torsten Rohlfing; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Psychiatry Res       Date:  2006-02-23       Impact factor: 3.222

5.  Image matching as a diffusion process: an analogy with Maxwell's demons.

Authors:  J P Thirion
Journal:  Med Image Anal       Date:  1998-09       Impact factor: 8.545

6.  MRI-PET registration with automated algorithm.

Authors:  R P Woods; J C Mazziotta; S R Cherry
Journal:  J Comput Assist Tomogr       Date:  1993 Jul-Aug       Impact factor: 1.826

7.  Double echo steady state magnetic resonance imaging of knee articular cartilage at 3 Tesla: a pilot study for the Osteoarthritis Initiative.

Authors:  F Eckstein; M Hudelmaier; W Wirth; B Kiefer; R Jackson; J Yu; C B Eaton; E Schneider
Journal:  Ann Rheum Dis       Date:  2005-08-26       Impact factor: 19.103

Review 8.  Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment.

Authors:  F Eckstein; F Cicuttini; J-P Raynauld; J C Waterton; C Peterfy
Journal:  Osteoarthritis Cartilage       Date:  2006-05-19       Impact factor: 6.576

9.  Templates of the cartilage layers of the patellofemoral joint and their use in the assessment of osteoarthritic cartilage damage.

Authors:  Z A Cohen; V C Mow; J H Henry; W N Levine; G A Ateshian
Journal:  Osteoarthritis Cartilage       Date:  2003-08       Impact factor: 6.576

10.  Sex differences in knee cartilage volume in adults: role of body and bone size, age and physical activity.

Authors:  C Ding; F Cicuttini; F Scott; M Glisson; G Jones
Journal:  Rheumatology (Oxford)       Date:  2003-06-16       Impact factor: 7.580

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  2 in total

1.  Baseline Cartilage Thickness and Meniscus Extrusion Predict Longitudinal Cartilage Loss by Quantitative Magnetic Resonance Imaging: Data From the Osteoarthritis Initiative.

Authors:  Jason S Klein; Jean Jose; Michael G Baraga; Ty K Subhawong
Journal:  J Comput Assist Tomogr       Date:  2016 Nov/Dec       Impact factor: 1.826

2.  On Subregional Analysis of Cartilage Loss from Knee MRI.

Authors:  Dan R Jørgensen; Martin Lillholm; Harry K Genant; Erik B Dam
Journal:  Cartilage       Date:  2013-04       Impact factor: 4.634

  2 in total

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