Literature DB >> 11918231

Universal standardization of forearm bone densitometry.

John A Shepherd1, Xiao Guang Cheng, Ying Lu, Chris Njeh, Jorg Toschke, Klaus Engelke, Michael Grigorian, Harry K Genant.   

Abstract

As part of an effort to quantify device-dependent differences in forearm bone density, 101 women, aged 20-80 years (approximately 16 women in each age decade), were scanned on six forearm bone densitometers: the Aloka DCS-600EX, the Hologic QDR-4500A, the Lunar PIXI, the Norland pDEXA, the Osteometer DTX-200, and the Pronosco X-posure System. Regression statistics are reported for all similar regions of interest (ROIs). However, comparisons were confounded because of large differences in the ROI size and placement. The number of ROIs reported for a single scan by each device varied from 1 to 12. The correlation coefficients ranged from 0.7 < r < 0.97, with the highest correlation coefficients and lowest SEs for comparisons between the most similar ROIs. Standardized units of bone mineral density are derived for distal (sdBMD), mid-(smBMD), and proximal (spBMD) ROTs that allow for comparable mean bone densities to be derived for patient populations. Five phantoms were scanned and characterized on five of the devices and the precision and mean values were reported. These phantom values will aid in the in vitro cross-calibration between manufacturers to recreate the presented in vivo relationships. Care should be exercised when using these equations for cross-calibrating patient databases or pooling clinical data from different devices because the least significant differences detectable from measurements taken on two different machines can be increased substantially.

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Year:  2002        PMID: 11918231     DOI: 10.1359/jbmr.2002.17.4.734

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  16 in total

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Authors:  Galateia J Kazakia; Andrew J Burghardt; Thomas M Link; Sharmila Majumdar
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2.  Use of digital x ray radiogrammetry in the assessment of joint damage in rheumatoid arthritis.

Authors:  W B Jawaid; D Crosbie; J Shotton; D M Reid; A Stewart
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Journal:  Osteoporos Int       Date:  2006-07-04       Impact factor: 4.507

Review 5.  [Absorptiometry].

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Authors:  T Suzuki; H Yoshida
Journal:  Osteoporos Int       Date:  2009-06-05       Impact factor: 4.507

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Authors:  Ling Wang; Pengju Huang; Hui Du; Jian Geng; Xinghua Yin; Yandong Liu; Tanuj Puri; Bo He; Liang Lyu; Xiaoguang Cheng; Xieyuan Jiang; Klaus Engelke; Glen M Blake
Journal:  Quant Imaging Med Surg       Date:  2022-06

8.  Multicenter precision of cortical and trabecular bone quality measures assessed by high-resolution peripheral quantitative computed tomography.

Authors:  Andrew J Burghardt; Jean-Baptiste Pialat; Galateia J Kazakia; Stephanie Boutroy; Klaus Engelke; Janina M Patsch; Alexander Valentinitsch; Danmei Liu; Eva Szabo; Cesar E Bogado; Maria Belen Zanchetta; Heather A McKay; Elizabeth Shane; Steven K Boyd; Mary L Bouxsein; Roland Chapurlat; Sundeep Khosla; Sharmila Majumdar
Journal:  J Bone Miner Res       Date:  2013-03       Impact factor: 6.741

9.  Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography.

Authors:  A J Burghardt; G J Kazakia; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2009-03-28       Impact factor: 4.507

Review 10.  Current Applications and Selected Technical Details of Dual-Energy X-Ray Absorptiometry.

Authors:  Piotr Sawicki; Marek Tałałaj; Katarzyna Życińska; Wojciech S Zgliczyński; Waldemar Wierzba
Journal:  Med Sci Monit       Date:  2021-06-16
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