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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-18202

Goerres, G W; Frey, D; Hany, T F; Seifert, B; Häuselmann, H J; Studer, A; Hauser, D; Zilic, N; Michel, B A; Hans, D; Uebelhart, D (2007). Digital X-ray radiogrammetry better identifies osteoarthritis patients with a low bone mineral density than quantitative ultrasound. European Radiology, 17(4):965-974.

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Abstract

This study assessed the ability of quantitative ultrasound (QUS) and digital X-ray radiogrammetry (DXR) to identify osteopenia and osteoporosis in patients with knee osteoarthritis (OA). One hundred and sixty-one patients with painful knee OA (81 men, 80 women; age 62.6+/-9.2 years, range 40-82 years) were included in this cross-sectional study and underwent dual-energy X-ray absorptiometry (DXA) of both hips and the lumbar spine, QUS of the phalanges and calcanei of both hands and heels, and DXR using radiographs of both hands. Unpaired t-test, Mann-Whitney U test, ROC analysis and Spearman's rank correlation were used for comparisons and correlation of methods. Using DXA as the reference standard, we defined a low bone mineral density (BMD) as a T-score < or =-1.0 at the lumbar spine or proximal femur. In contrast to phalangeal or calcaneal QUS, DXR was able to discriminate patients with a low BMD at the lumbar spine (p<0.0001) or hips (p<0.0001). ROC analysis showed that DXR had an acceptable predictive power in identifying OA patients a low hip BMD (sensitivity 70%, specificity 71%). Therefore, DXR used as a screening tool could help in identifying patients with knee OA for DXA.

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Nuclear Medicine
04 Faculty of Medicine > Institute of Social and Preventive Medicine
DDC:610 Medicine & health
Language:English
Date:April 2007
Deposited On:10 Apr 2009 14:18
Last Modified:27 Nov 2013 22:54
Publisher:Springer
ISSN:0938-7994
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:10.1007/s00330-006-0382-3
PubMed ID:16953374
Citations:Web of Science®. Times Cited: 2
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