Predicting cortical bone strength from DXA and dental cone-beam CT.

<h4>Objective</h4>This study compared the capabilities of dual-energy X-ray absorptiometry (DXA) and dental cone-beam computed tomography (CBCT) for predicting the cortical bone strength of rat femurs and tibias.<h4>Materials and methods</h4>Specimens of femurs and tibias obt...

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Autores principales:	Jui-Ting Hsu, Ying-Ju Chen, Ming-Tzu Tsai, Howard Haw-Chang Lan, Fu-Chou Cheng, Michael Y C Chen, Shun-Ping Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/804d92971b034a01b953b5b5c189a377
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spelling	oai:doaj.org-article:804d92971b034a01b953b5b5c189a3772021-11-18T08:06:56ZPredicting cortical bone strength from DXA and dental cone-beam CT.1932-620310.1371/journal.pone.0050008https://doaj.org/article/804d92971b034a01b953b5b5c189a3772012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23226234/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objective</h4>This study compared the capabilities of dual-energy X-ray absorptiometry (DXA) and dental cone-beam computed tomography (CBCT) for predicting the cortical bone strength of rat femurs and tibias.<h4>Materials and methods</h4>Specimens of femurs and tibias obtained from 14 rats were first scanned with DXA to obtain the areal bone mineral density (BMD) of the midshaft cortical portion of the bones. The bones were then scanned using dental CBCT to measure the volumetric cortical bone mineral density (vCtBMD) and the cross-sectional moment of inertia (CSMI) for calculating the bone strength index (BSI). A three-point bending test was conducted to measure the fracture load of each femur and tibia. Bivariate linear Pearson analysis was used to calculate the correlation coefficients (r values) among the CBCT measurements, DXA measurements, and three-point bending parameters.<h4>Results</h4>The correlation coefficients for the associations of the fracture load with areal BMD (measured using DXA), vCtBMD (measured using CBCT), CSMI (measured using CBCT), and BSI were 0.585 (p = 0.028) and 0.532 (p = 0.050) (for the femur and tibia, respectively), 0.638 (p = 0.014) and 0.762 (p = 0.002), 0.778 (p = 0.001) and 0.792 (p<0.001), and 0.822 (p<0.001) and 0.842 (p<0.001), respectively.<h4>Conclusions</h4>CBCT was found to be superior to DXA for predicting cortical bone fracture loads in rat femurs and tibias. The BSI, which is a combined index of densitometric and geometric parameters, was especially useful. Further clinical studies are needed to validate the predictive value of BSI obtained from CBCT and should include testing on human cadaver specimens.Jui-Ting HsuYing-Ju ChenMing-Tzu TsaiHoward Haw-Chang LanFu-Chou ChengMichael Y C ChenShun-Ping WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 11, p e50008 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jui-Ting Hsu Ying-Ju Chen Ming-Tzu Tsai Howard Haw-Chang Lan Fu-Chou Cheng Michael Y C Chen Shun-Ping Wang Predicting cortical bone strength from DXA and dental cone-beam CT.
description	<h4>Objective</h4>This study compared the capabilities of dual-energy X-ray absorptiometry (DXA) and dental cone-beam computed tomography (CBCT) for predicting the cortical bone strength of rat femurs and tibias.<h4>Materials and methods</h4>Specimens of femurs and tibias obtained from 14 rats were first scanned with DXA to obtain the areal bone mineral density (BMD) of the midshaft cortical portion of the bones. The bones were then scanned using dental CBCT to measure the volumetric cortical bone mineral density (vCtBMD) and the cross-sectional moment of inertia (CSMI) for calculating the bone strength index (BSI). A three-point bending test was conducted to measure the fracture load of each femur and tibia. Bivariate linear Pearson analysis was used to calculate the correlation coefficients (r values) among the CBCT measurements, DXA measurements, and three-point bending parameters.<h4>Results</h4>The correlation coefficients for the associations of the fracture load with areal BMD (measured using DXA), vCtBMD (measured using CBCT), CSMI (measured using CBCT), and BSI were 0.585 (p = 0.028) and 0.532 (p = 0.050) (for the femur and tibia, respectively), 0.638 (p = 0.014) and 0.762 (p = 0.002), 0.778 (p = 0.001) and 0.792 (p<0.001), and 0.822 (p<0.001) and 0.842 (p<0.001), respectively.<h4>Conclusions</h4>CBCT was found to be superior to DXA for predicting cortical bone fracture loads in rat femurs and tibias. The BSI, which is a combined index of densitometric and geometric parameters, was especially useful. Further clinical studies are needed to validate the predictive value of BSI obtained from CBCT and should include testing on human cadaver specimens.
format	article
author	Jui-Ting Hsu Ying-Ju Chen Ming-Tzu Tsai Howard Haw-Chang Lan Fu-Chou Cheng Michael Y C Chen Shun-Ping Wang
author_facet	Jui-Ting Hsu Ying-Ju Chen Ming-Tzu Tsai Howard Haw-Chang Lan Fu-Chou Cheng Michael Y C Chen Shun-Ping Wang
author_sort	Jui-Ting Hsu
title	Predicting cortical bone strength from DXA and dental cone-beam CT.
title_short	Predicting cortical bone strength from DXA and dental cone-beam CT.
title_full	Predicting cortical bone strength from DXA and dental cone-beam CT.
title_fullStr	Predicting cortical bone strength from DXA and dental cone-beam CT.
title_full_unstemmed	Predicting cortical bone strength from DXA and dental cone-beam CT.
title_sort	predicting cortical bone strength from dxa and dental cone-beam ct.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/804d92971b034a01b953b5b5c189a377
work_keys_str_mv	AT juitinghsu predictingcorticalbonestrengthfromdxaanddentalconebeamct AT yingjuchen predictingcorticalbonestrengthfromdxaanddentalconebeamct AT mingtzutsai predictingcorticalbonestrengthfromdxaanddentalconebeamct AT howardhawchanglan predictingcorticalbonestrengthfromdxaanddentalconebeamct AT fuchoucheng predictingcorticalbonestrengthfromdxaanddentalconebeamct AT michaelycchen predictingcorticalbonestrengthfromdxaanddentalconebeamct AT shunpingwang predictingcorticalbonestrengthfromdxaanddentalconebeamct
_version_	1718422177011728384

Predicting cortical bone strength from DXA and dental cone-beam CT.

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