Literature DB >> 3930028

Bone mineral content of the femoral neck and shaft: relation between cortical and trabecular bone.

H Bohr, O Schaadt.   

Abstract

Bone mineral content (BMC) of the femoral neck and shaft was determined with dual photon absorptiometry, using 153Gd. Comparison of BMC with the amount of hydroxyapatite (HA) of in vitro specimen showed correlation coefficients of 0.992 and 0.996 for the femoral neck and shaft respectively. In the femoral neck the amount of cortical bone in a bone section varies from 16% ash weight in the proximal part to 71% in the distal part. Corresponding to the site of BMC measurements, the cortical bone constitutes 57% in the femoral neck and 95% in the femoral shaft. The precision error of measurements of BMC in vivo, expressed as the coefficient of variation for repeated determinations, was 1.4% for the femoral neck and 1.3% for the femoral shaft. In the femoral neck it is possible to distinguish between structures consisting mainly of cortical bone and structures containing mostly trabecular bone. While the cortical bone value decreases only slowly with age in normal women, corresponding to BMC of the femoral shaft, the trabecular bone value decreases rapidly even compared with BMC of the femoral neck. Despite the significant correlation between the values for cortical and trabecular bone a distinction seems essential from a clinical point of view.

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Year:  1985        PMID: 3930028     DOI: 10.1007/bf02553698

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  7 in total

1.  Bone mineral assay: choice of measuring sites.

Authors:  N Dalén; B Jacobson
Journal:  Invest Radiol       Date:  1974 May-Jun       Impact factor: 6.016

2.  Dichromatic absorptiometry of vertebral bone mineral content.

Authors:  C R Wilson; M Madsen
Journal:  Invest Radiol       Date:  1977 Mar-Apr       Impact factor: 6.016

3.  Bone mineral content of femoral bone and the lumbar spine measured in women with fracture of the femoral neck by dual photon absorptiometry.

Authors:  H Bohr; O Schaadt
Journal:  Clin Orthop Relat Res       Date:  1983-10       Impact factor: 4.176

4.  Changes in bone mineral density of the proximal femur and spine with aging. Differences between the postmenopausal and senile osteoporosis syndromes.

Authors:  B L Riggs; H W Wahner; E Seeman; K P Offord; W L Dunn; R B Mazess; K A Johnson; L J Melton
Journal:  J Clin Invest       Date:  1982-10       Impact factor: 14.808

5.  Differential changes in bone mineral density of the appendicular and axial skeleton with aging: relationship to spinal osteoporosis.

Authors:  B L Riggs; H W Wahner; W L Dunn; R B Mazess; K P Offord; L J Melton
Journal:  J Clin Invest       Date:  1981-02       Impact factor: 14.808

6.  Measurement of bone mineral content (BMC) of the lumbar spine, I. Theory and application of a new two-dimensional dual-photon attenuation method.

Authors:  B Krølner; S Pors Nielsen
Journal:  Scand J Clin Lab Invest       Date:  1980       Impact factor: 1.713

7.  Measurement of bone mineral content in human vertebrae and hip by dual photon absorptiometry.

Authors:  W L Dunn; H W Wahner; B L Riggs
Journal:  Radiology       Date:  1980-08       Impact factor: 11.105

  7 in total
  13 in total

1.  Bone mineral density of the proximal femur and lumbar spine in glucocorticoid-treated asthmatic patients.

Authors:  I R Reid; M C Evans; D J Wattie; R Ames; T F Cundy
Journal:  Osteoporos Int       Date:  1992-03       Impact factor: 4.507

2.  Effect of aging on trabecular and compact bone components of proximal and ultradistal radius.

Authors:  D Gatti; M Rossini; N Zamberlan; V Braga; E Fracassi; S Adami
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

3.  Different trends of age-related diminution of bone mineral content in the lumbar spine, femoral neck, and femoral shaft in women.

Authors:  O Schaadt; H Bohr
Journal:  Calcif Tissue Int       Date:  1988-02       Impact factor: 4.333

4.  Spine and femur densitometry at the menopause: are both sites necessary in the assessment of the risk of osteoporosis?

Authors:  J M Pouilles; F Tremollieres; C Ribot
Journal:  Calcif Tissue Int       Date:  1993-05       Impact factor: 4.333

5.  Automated computerized radiogrammetry of the second metacarpal and its correlation with absorptiometry of the forearm and spine.

Authors:  T Derisquebourg; P Dubois; J P Devogelaer; E Meys; B Duquesnoy; C Nagant de Deuxchaisnes; B Delcambre; X Marchandise
Journal:  Calcif Tissue Int       Date:  1994-06       Impact factor: 4.333

6.  Regional fat depots and their relationship to bone density and microarchitecture in young oligo-amenorrheic athletes.

Authors:  Vibha Singhal; Giovana D N Maffazioli; Natalia Cano Sokoloff; Kathryn E Ackerman; Hang Lee; Nupur Gupta; Hannah Clarke; Meghan Slattery; Miriam A Bredella; Madhusmita Misra
Journal:  Bone       Date:  2015-04-10       Impact factor: 4.398

7.  DXA evaluation of femoral bone mineral density and cortical width in patients with prior total knee arthroplasty.

Authors:  T Blaty; D Krueger; R Illgen; M Squire; B Heiderscheit; N Binkley; P Anderson
Journal:  Osteoporos Int       Date:  2018-08-31       Impact factor: 4.507

8.  Two new regions of interest to evaluate separately cortical and trabecular BMD in the proximal femur using DXA.

Authors:  Sven Prevrhal; Margarita Meta; Harry K Genant
Journal:  Osteoporos Int       Date:  2003-11-04       Impact factor: 4.507

9.  Femoral neck fragility in women has its structural and biomechanical basis established by periosteal modeling during growth and endocortical remodeling during aging.

Authors:  Silvana Filardi; Roger Martin Djoumessi Zebaze; Yunbo Duan; Jan Edmonds; Thomas Beck; Ego Seeman
Journal:  Osteoporos Int       Date:  2003-11-07       Impact factor: 4.507

10.  The importance of severity of arthrosis for the reliability of bone mineral density measurement in women.

Authors:  Alper Hayirlioglu; Husnu Gokaslan; Canan Cimsit; Begumhan Baysal
Journal:  Rheumatol Int       Date:  2008-10-03       Impact factor: 2.631

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