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Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study

BACKGROUND: The influences of potential bone-to-implant contact (BIC) area (pBICA), BIC area (BICA), and three dimensional (3D) BIC percentage (3D BIC%; defined as BICA divided by pBICA) in relation to the implant length on initial implant stability were studied. Correlations between these parameter...

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Autores principales: Hsu, Jui-Ting, Wu, Aaron Yu-Jen, Fuh, Lih-Jyh, Huang, Heng-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697107/
https://www.ncbi.nlm.nih.gov/pubmed/29157247
http://dx.doi.org/10.1186/s12903-017-0422-1
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author Hsu, Jui-Ting
Wu, Aaron Yu-Jen
Fuh, Lih-Jyh
Huang, Heng-Li
author_facet Hsu, Jui-Ting
Wu, Aaron Yu-Jen
Fuh, Lih-Jyh
Huang, Heng-Li
author_sort Hsu, Jui-Ting
collection PubMed
description BACKGROUND: The influences of potential bone-to-implant contact (BIC) area (pBICA), BIC area (BICA), and three dimensional (3D) BIC percentage (3D BIC%; defined as BICA divided by pBICA) in relation to the implant length on initial implant stability were studied. Correlations between these parameters were also evaluated. METHODS: Implants with lengths of 8.5, 10, 11.5, and 13 mm were placed in artificial bone specimens to measure three indexes of the initial implant stability: insertion torque value (ITV), Periotest value (PTV), and implant stability quotient (ISQ). The implants and bone specimens were also scanned by microcomputed tomography, and the obtained images were imported into Mimics software to reconstruct the 3D models and calculate the parameters of 3D bone-to-implant contact including pBICA, BICA, and 3D BIC%. The Kruskal-Wallis test, Wilcoxon rank-sum test with Bonferroni adjustment, and Spearman correlations were applied for statistical and correlation analyses. RESULTS: The implant length affected ITV more than PTV and ISQ, and significantly affected pBICA, BICA, and 3D BIC%. A longer implant increased pBICA and BICA but decreased 3D BIC%. The Spearman coefficients were high (>0.78) for the correlations between the three 3D BIC parameters and the three indexes of the initial implant stability. CONCLUSIONS: pBICA, BICA, and 3D BIC% are useful when deciding on treatment plans related to various implant lengths, since these 3D BIC parameters are predictive of the initial implant stability.
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spelling pubmed-56971072017-12-01 Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study Hsu, Jui-Ting Wu, Aaron Yu-Jen Fuh, Lih-Jyh Huang, Heng-Li BMC Oral Health Research Article BACKGROUND: The influences of potential bone-to-implant contact (BIC) area (pBICA), BIC area (BICA), and three dimensional (3D) BIC percentage (3D BIC%; defined as BICA divided by pBICA) in relation to the implant length on initial implant stability were studied. Correlations between these parameters were also evaluated. METHODS: Implants with lengths of 8.5, 10, 11.5, and 13 mm were placed in artificial bone specimens to measure three indexes of the initial implant stability: insertion torque value (ITV), Periotest value (PTV), and implant stability quotient (ISQ). The implants and bone specimens were also scanned by microcomputed tomography, and the obtained images were imported into Mimics software to reconstruct the 3D models and calculate the parameters of 3D bone-to-implant contact including pBICA, BICA, and 3D BIC%. The Kruskal-Wallis test, Wilcoxon rank-sum test with Bonferroni adjustment, and Spearman correlations were applied for statistical and correlation analyses. RESULTS: The implant length affected ITV more than PTV and ISQ, and significantly affected pBICA, BICA, and 3D BIC%. A longer implant increased pBICA and BICA but decreased 3D BIC%. The Spearman coefficients were high (>0.78) for the correlations between the three 3D BIC parameters and the three indexes of the initial implant stability. CONCLUSIONS: pBICA, BICA, and 3D BIC% are useful when deciding on treatment plans related to various implant lengths, since these 3D BIC parameters are predictive of the initial implant stability. BioMed Central 2017-11-21 /pmc/articles/PMC5697107/ /pubmed/29157247 http://dx.doi.org/10.1186/s12903-017-0422-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hsu, Jui-Ting
Wu, Aaron Yu-Jen
Fuh, Lih-Jyh
Huang, Heng-Li
Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title_full Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title_fullStr Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title_full_unstemmed Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title_short Effects of implant length and 3D bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
title_sort effects of implant length and 3d bone-to-implant contact on initial stabilities of dental implant: a microcomputed tomography study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697107/
https://www.ncbi.nlm.nih.gov/pubmed/29157247
http://dx.doi.org/10.1186/s12903-017-0422-1
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