Literature DB >> 7942152

Geometric structure of the femoral neck measured using dual-energy x-ray absorptiometry.

T Yoshikawa1, C H Turner, M Peacock, C W Slemenda, C M Weaver, D Teegarden, P Markwardt, D B Burr.   

Abstract

An algorithm was developed to estimate the strength of the femoral neck from data generated by the dual-energy x-ray absorptiometry (DXA). This algorithm considers shape of the proximal femur as well as cross-sectional moment of inertia (CSMI) in the estimate. Proximal femora (10) from cadavers of white adults and an aluminum step wedge were scanned with the Lunar DPX to validate the calculation of CSMI. After scanning, each femoral neck was sectioned at its narrowest portion for direct measurement of CSMI. Three healthy young women were scanned five times each to evaluate the reproducibility of geometric measurements using DXA. There was a strong linear association between the CSMI measured directly and using DXA in both cadaver bones (r2 = 0.96) and the aluminum step wedge (r2 = 0.99). The coefficient of variation for CSMI from repeated measurements using DXA was less than 3%. This indicates that it is possible to estimate reproducibly the bending rigidity of bone from DXA measurements. The data from 306 normal subjects were analyzed to investigate geometric changes in the femoral neck with age. Although there was no strong correlation between CSMI and age in normal subjects of either sex, safety factor (SF, an index of strength of the femoral neck during walking) and fall index (FI, an index of the strength of the femoral neck during a fall) decrease with age in both sexes. We observed an alteration of the geometric structure of the femoral neck with age that may increase the stress on the femoral neck and decrease SF and FI.

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Year:  1994        PMID: 7942152     DOI: 10.1002/jbmr.5650090713

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


  54 in total

1.  Sexual dimorphism of femoral neck cross-sectional bone geometry in athletes and non-athletes: a hip structural analysis study.

Authors:  Karen Hind; Lisa Gannon; Emma Whatley; Carlton Cooke
Journal:  J Bone Miner Metab       Date:  2011-12-13       Impact factor: 2.626

2.  Risedronate improves proximal femur bone density and geometry in patients with osteoporosis or osteopenia and clinical risk factors of fractures: a practice-based observational study.

Authors:  Masayuki Takakuwa; Jun Iwamoto; Masahisa Konishi; Qi Zhou; Koichi Itabashi
Journal:  J Bone Miner Metab       Date:  2010-06-09       Impact factor: 2.626

3.  Tanning predicts bone mass but not structure in adolescent females living in Hawaii.

Authors:  Daniel L Osborne; Connie M Weaver; Linda D McAbe; George M McCabe; Rachel Novotny; Carol Boushey; Dennis A Savaiano
Journal:  Am J Hum Biol       Date:  2011-04-14       Impact factor: 1.937

Review 4.  Features of limb fractures: a review of epidemiology from a Japanese perspective.

Authors:  Hiroshi Hagino
Journal:  J Bone Miner Metab       Date:  2007-08-25       Impact factor: 2.626

5.  Comparison of DXA hip structural analysis with volumetric QCT.

Authors:  Thomas J Beck
Journal:  J Clin Densitom       Date:  2009-03-03       Impact factor: 2.617

6.  Inversion of the acetabular labrum causes increased localized contact pressure on the femoral head: a biomechanical study.

Authors:  Xipeng Wang; Kiyokazu Fukui; Ayumi Kaneuji; Kenichi Hirosaki; Hiroyasu Miyakawa; Norio Kawahara
Journal:  Int Orthop       Date:  2018-12-11       Impact factor: 3.075

7.  Recent progress in bone imaging for osteoporosis research.

Authors:  Masako Ito
Journal:  J Bone Miner Metab       Date:  2011-02-08       Impact factor: 2.626

8.  Expected frequency of biomechanically adverse values of proximal femur geometric variables for fracture risk in the East Slovak female population (epidemiological study).

Authors:  Jaroslava Wendlová
Journal:  Wien Med Wochenschr       Date:  2011-07-29

9.  Bone cross-sectional geometry in male runners, gymnasts, swimmers and non-athletic controls: a hip-structural analysis study.

Authors:  Karen Hind; Lisa Gannon; Emma Whatley; Carlton Cooke; John Truscott
Journal:  Eur J Appl Physiol       Date:  2011-05-24       Impact factor: 3.078

10.  The genetics of proximal femur geometry, distribution of bone mass and bone mineral density.

Authors:  C W Slemenda; C H Turner; M Peacock; J C Christian; J Sorbel; S L Hui; C C Johnston
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

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