Literature DB >> 11193248

Metacarpal morphometry using a semi-automated technique in the assessment of osteoporosis and vertebral fracture risk.

A Dey1, E V McCloskey, T Taube, R Cox, K C Pande, R U Ashford, M Forster, D de Takats, J A Kanis.   

Abstract

Metacarpal morphometry represents a potentially cheap and widely available non-invasive assessment of skeletal status. In two cross-sectional studies, we compared the performance characteristics of a semiautomated technique (the Teijin Bonalyzer) with an in-house manual measurement, and with measures of skeletal strength at other sites. The metacarpal cortical index (mCI) was measured on hand radiographs of 178 osteoporotic women using both the Teijin Bonalyzer and a digitizing tablet. Measurements on the latter were consistently lower than with the Bonalyzer except for mCI (0.443+/-0.080 vs 0.364+/-0.060, p<0.001), although correlation coefficients between these two methods were highly significant (r = 0.62-0.83, p<0.001). The reproducibility errors of metacarpal bone mineral density (mBMD) were constant (1.1-1.2%) whilst those for mCI showed a marked operator-dependency (2.0-7.9%). In 379 elderly community-dwelling women, Bonalyzer mCI and mBMD showed a significant decline with age (r = -0.30 and -0.27 respectively, p<0.05). Both mCI and mBMD correlated significantly with forearm BMD (r = 0.50 and 0.57 respectively, p<0.001) and hip BMD (r = 0.48 and 0.53 respectively, p<0.001). After adjustment for age and weight, hip BMD demonstrated the best discrimination for prevalent vertebral fractures as judged by the gradient of risk for a 1 SD decrease in measurement (odds ratio (OR) 2.17, 95% CI 1.56-3.01). Similar but smaller gradients of risk were shown by Bonalyzer mCI (OR 1.32, 95% CI 1.00-1.75), mBMD (OR 1.35, 95% CI 1.02-1.78) and forearm BMD (OR 1.39, 95% CI 1.08-1.80). MCI, and in particular mBMD, may be useful assessments of bone mass and fracture risk. In our study, it is comparable to peripheral assessment of skeletal status by forearm densitometry.

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Year:  2000        PMID: 11193248     DOI: 10.1007/s001980070034

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  6 in total

1.  Computer-aided system for measuring the mandibular cortical width on dental panoramic radiographs in identifying postmenopausal women with low bone mineral density.

Authors:  A Z Arifin; A Asano; A Taguchi; T Nakamoto; M Ohtsuka; M Tsuda; Y Kudo; K Tanimoto
Journal:  Osteoporos Int       Date:  2006-03-22       Impact factor: 4.507

2.  Interindividual variation in functionally adapted trait sets is established during postnatal growth and predictable based on bone robustness.

Authors:  Nirnimesh Pandey; Siddharth Bhola; Andrew Goldstone; Fred Chen; Jessica Chrzanowski; Carl J Terranova; Richard Ghillani; Karl J Jepsen
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

Review 3.  The Use of Imaging Techniques in Chronic Kidney Disease-Mineral and Bone Disorders (CKD-MBD)-A Systematic Review.

Authors:  Ana Pimentel; Jordi Bover; Grahame Elder; Martine Cohen-Solal; Pablo Antonio Ureña-Torres
Journal:  Diagnostics (Basel)       Date:  2021-04-26

4.  Sex and External Size Specific Limitations in Assessing Bone Health From Adult Hand Radiographs.

Authors:  Erin M R Bigelow; Robert W Goulet; Antonio Ciarelli; Stephen H Schlecht; David H Kohn; Todd L Bredbenner; Sioban D Harlow; Carrie A Karvonen-Gutierrez; Karl J Jepsen
Journal:  JBMR Plus       Date:  2022-06-29

5.  Bone-formers and bone-losers in an archaeological population.

Authors:  Simon Mays
Journal:  Am J Phys Anthropol       Date:  2015-12-15       Impact factor: 2.868

6.  Moving toward a prevention strategy for osteoporosis by giving a voice to a silent disease.

Authors:  Karl J Jepsen; Erin M R Bigelow; Melissa Ramcharan; Stephen H Schlecht; Carrie A Karvonen-Gutierrez
Journal:  Womens Midlife Health       Date:  2016-03-07
  6 in total

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