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Journal

2010 | 5 | 5 | 601-610

Article title

Evaluation of the Singh index and femur geometry in osteoporotic women

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EN

Abstracts

EN
We aimed to compare the Singh index with bone mineral density (BMD) by dual-energy X-ray absorptiometry (DXA), body mass index (BMI) and femur geometry in the right proximal femur of osteoporotic women, using different statistical tests. Radiographs of each patient were assessed to determine the Singh index by five observers. The observers consisted of a consultant radiologist, physical therapist and anatomists who studied the series of radiographs. They were asked to apply the Singh index by comparing the trabecular bone pattern in the proximal right femur with the reference scale published by Singh et al. [1]. This has a six point scale from grade VI to grade I. We evaluated 47 osteoporotic women in this study. The subjects’ mean age, weigth, and height were 63,21 ± 10,106, 66,72 ± 12.523, 154,94 ± 7,026 respectively. We found a significant relationship between the Singh index and BMD. The Singh index correlated significantly with hip axis length, femoral neck diamater and trochanteric width. And, BMD correlated significantly with femoral head and neck diameter, femoral neck cortex width, medial calcar femoral cortex width and femoral shaft cortex width. The evaluation of the Singh index grades in its self, there was a significant relation among them.

Publisher

Journal

Year

Volume

5

Issue

5

Pages

601-610

Physical description

Dates

published
1 - 10 - 2010
online
20 - 8 - 2010

Contributors

  • Department of Anatomy, Faculty of Medicine, Dicle University, 21280, Diyarbakır, Turkey
author
  • Department of Anatomy, Faculty of Medicine, Dicle University, 21280, Diyarbakır, Turkey
  • Department of Physical Medicine, Özel Veni Vidi Hospital, 21100, Diyarbakır, Turkey
  • Department of Anatomy, Faculty of Medicine, Dicle University, 21280, Diyarbakır, Turkey
  • Department of Radiology, Faculty of Medicine, Dicle University, 21280, Diyarbakır, Turkey
author
  • Department of Biostatistics, Faculty of Medicine, Dicle University, 21280, Diyarbakır, Turkey

References

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Document Type

Publication order reference

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YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_s11536-009-0136-0
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