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Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study

OBJECTIVE: Using cone-beam computed tomography (CBCT) images, the aim of the study was to evaluate the usefulness of measuring radiographic density of the axis vertebra (RDAV) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and forty-seven old patients (109 males and 138 fema...

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Autores principales: Alkhader, Mustafa, Alrashdan, Mohammad S., Khader, Yousef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178680/
https://www.ncbi.nlm.nih.gov/pubmed/30369793
http://dx.doi.org/10.4103/ejd.ejd_375_17
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author Alkhader, Mustafa
Alrashdan, Mohammad S.
Khader, Yousef
author_facet Alkhader, Mustafa
Alrashdan, Mohammad S.
Khader, Yousef
author_sort Alkhader, Mustafa
collection PubMed
description OBJECTIVE: Using cone-beam computed tomography (CBCT) images, the aim of the study was to evaluate the usefulness of measuring radiographic density of the axis vertebra (RDAV) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and forty-seven old patients (109 males and 138 females) aged between 50 and 80 years (mean age: 59.68 ± 7.27) were examined by CBCT. Using InVivoDental, v. 5.0 (Anatomage Inc., San Jose, CA), RDAV and mental index (MI) were measured twice and correlated using Pearson's correlation coefficients. Patients were divided into two categories: high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of RDAV was compared and correlated using independent samples’ t-test and regression analysis. Receiver-operating characteristic (ROC) curve analysis was also used to examine the predictive power of RDAV. RESULTS: The mean value of RDAV was moderately correlated with MI (r = 0.32), and in patients at low risk of osteoporosis, the mean value of RDAV was significantly higher than in patients at high risk of osteoporosis. In multivariate binary logistic regression, the odds of being at risk of osteoporosis decreased by 1% with one unit increase in RDAV (odds ratio = 0.988, 95% confidence interval: 0.983–0.993; P < 0.005). ROC analysis showed that the mean value of RDAV had a high predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.761 for females and 0.649 for males). CONCLUSIONS: Measuring RDAV is considered useful in predicting patients at risk of osteoporosis.
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spelling pubmed-61786802018-10-26 Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study Alkhader, Mustafa Alrashdan, Mohammad S. Khader, Yousef Eur J Dent Original Article OBJECTIVE: Using cone-beam computed tomography (CBCT) images, the aim of the study was to evaluate the usefulness of measuring radiographic density of the axis vertebra (RDAV) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and forty-seven old patients (109 males and 138 females) aged between 50 and 80 years (mean age: 59.68 ± 7.27) were examined by CBCT. Using InVivoDental, v. 5.0 (Anatomage Inc., San Jose, CA), RDAV and mental index (MI) were measured twice and correlated using Pearson's correlation coefficients. Patients were divided into two categories: high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of RDAV was compared and correlated using independent samples’ t-test and regression analysis. Receiver-operating characteristic (ROC) curve analysis was also used to examine the predictive power of RDAV. RESULTS: The mean value of RDAV was moderately correlated with MI (r = 0.32), and in patients at low risk of osteoporosis, the mean value of RDAV was significantly higher than in patients at high risk of osteoporosis. In multivariate binary logistic regression, the odds of being at risk of osteoporosis decreased by 1% with one unit increase in RDAV (odds ratio = 0.988, 95% confidence interval: 0.983–0.993; P < 0.005). ROC analysis showed that the mean value of RDAV had a high predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.761 for females and 0.649 for males). CONCLUSIONS: Measuring RDAV is considered useful in predicting patients at risk of osteoporosis. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6178680/ /pubmed/30369793 http://dx.doi.org/10.4103/ejd.ejd_375_17 Text en Copyright: © 2018 European Journal of Dentistry http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Alkhader, Mustafa
Alrashdan, Mohammad S.
Khader, Yousef
Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title_full Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title_fullStr Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title_full_unstemmed Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title_short Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
title_sort usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: a cone-beam computed tomography study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178680/
https://www.ncbi.nlm.nih.gov/pubmed/30369793
http://dx.doi.org/10.4103/ejd.ejd_375_17
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