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Influence of bone condition on implant placement accuracy with computer-guided surgery

BACKGROUND: The impact of the jaw bone condition, such as bone quantity and quality in the implant placement site, affecting the accuracy of implant placement with computer-guided surgery (CGS) remains unclear. Therefore, this study aimed to evaluate the influence of bone condition, i.e., bone densi...

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Autores principales: Putra, Ramadhan Hardani, Yoda, Nobuhiro, Iikubo, Masahiro, Kataoka, Yoshihiro, Yamauchi, Kensuke, Koyama, Shigeto, Cooray, Upul, Astuti, Eha Renwi, Takahashi, Tetsu, Sasaki, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502099/
https://www.ncbi.nlm.nih.gov/pubmed/32951152
http://dx.doi.org/10.1186/s40729-020-00249-z
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author Putra, Ramadhan Hardani
Yoda, Nobuhiro
Iikubo, Masahiro
Kataoka, Yoshihiro
Yamauchi, Kensuke
Koyama, Shigeto
Cooray, Upul
Astuti, Eha Renwi
Takahashi, Tetsu
Sasaki, Keiichi
author_facet Putra, Ramadhan Hardani
Yoda, Nobuhiro
Iikubo, Masahiro
Kataoka, Yoshihiro
Yamauchi, Kensuke
Koyama, Shigeto
Cooray, Upul
Astuti, Eha Renwi
Takahashi, Tetsu
Sasaki, Keiichi
author_sort Putra, Ramadhan Hardani
collection PubMed
description BACKGROUND: The impact of the jaw bone condition, such as bone quantity and quality in the implant placement site, affecting the accuracy of implant placement with computer-guided surgery (CGS) remains unclear. Therefore, this study aimed to evaluate the influence of bone condition, i.e., bone density, bone width, and cortical bone thickness at the crestal bone on the accuracy of implant placement with CGS. METHODS: A total of 47 tissue-level implants from 25 patients placed in the posterior mandibular area were studied. Implant placement position was planned on the simulation software, Simplant® Pro 16, by superimposing preoperative computed tomography images with stereolithography data of diagnostic wax-up on the dental cast. Implant placement surgery was performed using the surgical guide plate to reflect the planned implant position. The post-surgical dental cast was scanned to determine the position of the placed implant. Linear and vertical deviations between planned and placed implants were calculated. Deviations at both platform and apical of the implant were measured in the bucco-lingual and mesio-distal directions. Intra- and inter-observer variabilities were calculated to ensure measurement reliability. Multiple linear regression analysis was employed to investigate the effect of the bone condition, such as density, width, and cortical bone thickness at the implant site area, on the accuracy of implant placement (α = 0.05). RESULT: Intra- and inter-observer variabilities of these measurements showed excellent agreement (intra class correlation coefficient ± 0.90). Bone condition significantly influenced the accuracy of implant placement using CGS (p < 0.05). Both bone density and width were found to be significant predictors. CONCLUSIONS: Low bone density and/or narrow bucco-lingual width near the alveolar bone crest in the implant placement site might be a risk factor influencing the accuracy of implant placement with CGS.
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spelling pubmed-75020992020-10-01 Influence of bone condition on implant placement accuracy with computer-guided surgery Putra, Ramadhan Hardani Yoda, Nobuhiro Iikubo, Masahiro Kataoka, Yoshihiro Yamauchi, Kensuke Koyama, Shigeto Cooray, Upul Astuti, Eha Renwi Takahashi, Tetsu Sasaki, Keiichi Int J Implant Dent Research BACKGROUND: The impact of the jaw bone condition, such as bone quantity and quality in the implant placement site, affecting the accuracy of implant placement with computer-guided surgery (CGS) remains unclear. Therefore, this study aimed to evaluate the influence of bone condition, i.e., bone density, bone width, and cortical bone thickness at the crestal bone on the accuracy of implant placement with CGS. METHODS: A total of 47 tissue-level implants from 25 patients placed in the posterior mandibular area were studied. Implant placement position was planned on the simulation software, Simplant® Pro 16, by superimposing preoperative computed tomography images with stereolithography data of diagnostic wax-up on the dental cast. Implant placement surgery was performed using the surgical guide plate to reflect the planned implant position. The post-surgical dental cast was scanned to determine the position of the placed implant. Linear and vertical deviations between planned and placed implants were calculated. Deviations at both platform and apical of the implant were measured in the bucco-lingual and mesio-distal directions. Intra- and inter-observer variabilities were calculated to ensure measurement reliability. Multiple linear regression analysis was employed to investigate the effect of the bone condition, such as density, width, and cortical bone thickness at the implant site area, on the accuracy of implant placement (α = 0.05). RESULT: Intra- and inter-observer variabilities of these measurements showed excellent agreement (intra class correlation coefficient ± 0.90). Bone condition significantly influenced the accuracy of implant placement using CGS (p < 0.05). Both bone density and width were found to be significant predictors. CONCLUSIONS: Low bone density and/or narrow bucco-lingual width near the alveolar bone crest in the implant placement site might be a risk factor influencing the accuracy of implant placement with CGS. Springer Berlin Heidelberg 2020-09-20 /pmc/articles/PMC7502099/ /pubmed/32951152 http://dx.doi.org/10.1186/s40729-020-00249-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Putra, Ramadhan Hardani
Yoda, Nobuhiro
Iikubo, Masahiro
Kataoka, Yoshihiro
Yamauchi, Kensuke
Koyama, Shigeto
Cooray, Upul
Astuti, Eha Renwi
Takahashi, Tetsu
Sasaki, Keiichi
Influence of bone condition on implant placement accuracy with computer-guided surgery
title Influence of bone condition on implant placement accuracy with computer-guided surgery
title_full Influence of bone condition on implant placement accuracy with computer-guided surgery
title_fullStr Influence of bone condition on implant placement accuracy with computer-guided surgery
title_full_unstemmed Influence of bone condition on implant placement accuracy with computer-guided surgery
title_short Influence of bone condition on implant placement accuracy with computer-guided surgery
title_sort influence of bone condition on implant placement accuracy with computer-guided surgery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502099/
https://www.ncbi.nlm.nih.gov/pubmed/32951152
http://dx.doi.org/10.1186/s40729-020-00249-z
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