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A Method for Determining Skeletal Lengths from DXA Images

BACKGROUND: Skeletal ratios and bone lengths are widely used in anthropology and forensic pathology and hip axis length is a useful predictor of fracture. The aim of this study was to show that skeletal ratios, such as length of femur to height, could be accurately measured from a DXA (dual energy X...

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Autores principales: Chinappen-Horsley, Usha, Blake, Glen M, Fogelman, Ignac, Spector, Tim D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2211289/
https://www.ncbi.nlm.nih.gov/pubmed/18021400
http://dx.doi.org/10.1186/1471-2474-8-113
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author Chinappen-Horsley, Usha
Blake, Glen M
Fogelman, Ignac
Spector, Tim D
author_facet Chinappen-Horsley, Usha
Blake, Glen M
Fogelman, Ignac
Spector, Tim D
author_sort Chinappen-Horsley, Usha
collection PubMed
description BACKGROUND: Skeletal ratios and bone lengths are widely used in anthropology and forensic pathology and hip axis length is a useful predictor of fracture. The aim of this study was to show that skeletal ratios, such as length of femur to height, could be accurately measured from a DXA (dual energy X-ray absorptiometry) image. METHODS: 90 normal Caucasian females, 18–80 years old, with whole body DXA data were used as subjects. Two methods, linear pixel count (LPC) and reticule and ruler (RET) were used to measure skeletal sizes on DXA images and compared with real clinical measures from 20 subjects and 20 x-rays of the femur and tibia taken in 2003. RESULTS: Although both methods were highly correlated, the LPC inter- and intra-observer error was lower at 1.6% compared to that of RET at 2.3%. Both methods correlated positively with real clinical measures, with LPC having a marginally stronger correlation coefficient (r(2 )= 0.94; r(2 )= 0.84; average r(2 )= 0.89) than RET (r(2 )= 0.86; r(2 )= 0.84; average r(2 )= 0.85) with X-rays and real measures respectively. Also, the time taken to use LPC was half that of RET at 5 minutes per scan. CONCLUSION: Skeletal ratios can be accurately and precisely measured from DXA total body scan images. The LPC method is easy to use and relatively rapid. This new phenotype will be useful for osteoporosis research for individuals or large-scale epidemiological or genetic studies.
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spelling pubmed-22112892008-01-19 A Method for Determining Skeletal Lengths from DXA Images Chinappen-Horsley, Usha Blake, Glen M Fogelman, Ignac Spector, Tim D BMC Musculoskelet Disord Research Article BACKGROUND: Skeletal ratios and bone lengths are widely used in anthropology and forensic pathology and hip axis length is a useful predictor of fracture. The aim of this study was to show that skeletal ratios, such as length of femur to height, could be accurately measured from a DXA (dual energy X-ray absorptiometry) image. METHODS: 90 normal Caucasian females, 18–80 years old, with whole body DXA data were used as subjects. Two methods, linear pixel count (LPC) and reticule and ruler (RET) were used to measure skeletal sizes on DXA images and compared with real clinical measures from 20 subjects and 20 x-rays of the femur and tibia taken in 2003. RESULTS: Although both methods were highly correlated, the LPC inter- and intra-observer error was lower at 1.6% compared to that of RET at 2.3%. Both methods correlated positively with real clinical measures, with LPC having a marginally stronger correlation coefficient (r(2 )= 0.94; r(2 )= 0.84; average r(2 )= 0.89) than RET (r(2 )= 0.86; r(2 )= 0.84; average r(2 )= 0.85) with X-rays and real measures respectively. Also, the time taken to use LPC was half that of RET at 5 minutes per scan. CONCLUSION: Skeletal ratios can be accurately and precisely measured from DXA total body scan images. The LPC method is easy to use and relatively rapid. This new phenotype will be useful for osteoporosis research for individuals or large-scale epidemiological or genetic studies. BioMed Central 2007-11-16 /pmc/articles/PMC2211289/ /pubmed/18021400 http://dx.doi.org/10.1186/1471-2474-8-113 Text en Copyright © 2007 Chinappen-Horsley et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chinappen-Horsley, Usha
Blake, Glen M
Fogelman, Ignac
Spector, Tim D
A Method for Determining Skeletal Lengths from DXA Images
title A Method for Determining Skeletal Lengths from DXA Images
title_full A Method for Determining Skeletal Lengths from DXA Images
title_fullStr A Method for Determining Skeletal Lengths from DXA Images
title_full_unstemmed A Method for Determining Skeletal Lengths from DXA Images
title_short A Method for Determining Skeletal Lengths from DXA Images
title_sort method for determining skeletal lengths from dxa images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2211289/
https://www.ncbi.nlm.nih.gov/pubmed/18021400
http://dx.doi.org/10.1186/1471-2474-8-113
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