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Usefulness of measuring bone density of mandibular condyle 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 bone density of mandibular condyle (BDMC) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and four mandibular condyles (46 condyles from males and 15...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089062/ https://www.ncbi.nlm.nih.gov/pubmed/30147400 http://dx.doi.org/10.4103/ejd.ejd_272_17 |
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author | Alkhader, Mustafa Aldawoodyeh, Ammar Abdo, Nour |
author_facet | Alkhader, Mustafa Aldawoodyeh, Ammar Abdo, Nour |
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 bone density of mandibular condyle (BDMC) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and four mandibular condyles (46 condyles from males and 158 condyles from females) were examined by CBCT. Using inVivo software (Anatomage, San Jose, Calif), BDMC and mental index (MI) were measured by two observers and correlated using Pearson's correlation coefficients. Patients were divided into high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of BDMC was compared and correlated using independent samples t-test and regression analysis. Receiver-operating characteristic (ROC) curve analyses were also used to examine the predictive power of BDMC. RESULTS: The mean value of BDMC was moderately correlated with MI (r = 0.38), and in female patients at low risk of osteoporosis, the mean value of BDMC was significantly higher than in patients at high risk of osteoporosis. In multivariate linear regression analysis, being at risk of osteoporosis is significantly affected by BDMC, age, and gender. ROC analysis showed that the mean value of BDMC had a moderate predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.621 for females and 0.649 for males). CONCLUSIONS: Measuring BDMC is considered useful in predicting patients at risk of osteoporosis. |
format | Online Article Text |
id | pubmed-6089062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60890622018-08-24 Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study Alkhader, Mustafa Aldawoodyeh, Ammar Abdo, Nour 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 bone density of mandibular condyle (BDMC) in patients at risk of osteoporosis. MATERIALS AND METHODS: Two hundred and four mandibular condyles (46 condyles from males and 158 condyles from females) were examined by CBCT. Using inVivo software (Anatomage, San Jose, Calif), BDMC and mental index (MI) were measured by two observers and correlated using Pearson's correlation coefficients. Patients were divided into high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of BDMC was compared and correlated using independent samples t-test and regression analysis. Receiver-operating characteristic (ROC) curve analyses were also used to examine the predictive power of BDMC. RESULTS: The mean value of BDMC was moderately correlated with MI (r = 0.38), and in female patients at low risk of osteoporosis, the mean value of BDMC was significantly higher than in patients at high risk of osteoporosis. In multivariate linear regression analysis, being at risk of osteoporosis is significantly affected by BDMC, age, and gender. ROC analysis showed that the mean value of BDMC had a moderate predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.621 for females and 0.649 for males). CONCLUSIONS: Measuring BDMC is considered useful in predicting patients at risk of osteoporosis. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6089062/ /pubmed/30147400 http://dx.doi.org/10.4103/ejd.ejd_272_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 Aldawoodyeh, Ammar Abdo, Nour Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title | Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title_full | Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title_fullStr | Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title_full_unstemmed | Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title_short | Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study |
title_sort | usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: a cone beam computed tomography study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089062/ https://www.ncbi.nlm.nih.gov/pubmed/30147400 http://dx.doi.org/10.4103/ejd.ejd_272_17 |
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