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

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          Abstract

          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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          Most cited references34

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          Current state of the art of computer-guided implant surgery

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            The accuracy of static computer-aided implant surgery: A systematic review and meta-analysis

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              Bone classification: an objective scale of bone density using the computerized tomography scan.

              Dental implants are subject to masticatory loads of varying magnitude. Implant performance is closely related to load transmission at the bone-to-implant interface where bone quality will be highly variable. The type and architecture of bone is known to influence its load bearing capacity and it has been demonstrated that poorer quality bone is associated with higher failure rates. To date, bone classifications have only provided rough subjective methods for pre-operative assessment, which can prove unreliable. The results of an extensive analysis of computerized tomography scans using Simplant software (Columbia Scientific Inc., Columbia, MD, USA) demonstrate that an objective scale of bone density based on the Houndsfield scale, can be established and that there is a strong correlation between bone density value and subjective quality score (P = 0.002) as well as between the bone density score and the region of the mouth (P < 0.001).
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                Author and article information

                Contributors
                nobuhiro.yoda.e2@tohoku.ac.jp
                Journal
                Int J Implant Dent
                Int J Implant Dent
                International Journal of Implant Dentistry
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2198-4034
                20 September 2020
                20 September 2020
                December 2020
                : 6
                : 62
                Affiliations
                [1 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Division of Advanced Prosthetic Dentistry, , Tohoku University Graduate School of Dentistry, ; 4-1, Seiryo-machi, Sendai, Miyagi 980-8575 Japan
                [2 ]GRID grid.440745.6, ISNI 0000 0001 0152 762X, Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, , Universitas Airlangga, ; Surabaya, Indonesia
                [3 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Division of Oral Diagnosis, , Tohoku University Graduate School of Dentistry, ; Sendai, Japan
                [4 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Division of Oral and Maxillofacial Surgery, , Tohoku University Graduate School of Dentistry, ; Sendai, Japan
                [5 ]GRID grid.412757.2, ISNI 0000 0004 0641 778X, Maxillofacial Prosthetics Clinic, , Tohoku University Hospital, ; Sendai, Japan
                [6 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Division of International and Community Oral Health, , Tohoku University Graduate School of Dentistry, ; Sendai, Japan
                Author information
                http://orcid.org/0000-0001-6342-4503
                Article
                249
                10.1186/s40729-020-00249-z
                7502099
                32951152
                81294155-3274-4128-b28b-5f284c493abc
                © 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/.

                History
                : 3 May 2020
                : 12 August 2020
                Funding
                Funded by: Japan Ministry of Education, Culture, Sports, Science and Technology
                Award ID: 18K09651
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                mandible,dental implant,computer-assisted surgery,computed tomography

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