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The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study

BACKGROUND: Dynamic navigation systems have a broad application prospect in digital implanting field. This study aimed to explore and compare the dynamic navigation system learning curve of dentists with different implant surgery experience through dental models. METHODS: The nine participants from...

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Autores principales: Xu, Zonghe, Zhou, Lin, Zheng, Ming, Lin, Yanjun, Huang, Wenxiu, Chen, Jiang, Li, Yan, Wu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926829/
https://www.ncbi.nlm.nih.gov/pubmed/36782192
http://dx.doi.org/10.1186/s12903-023-02792-8
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author Xu, Zonghe
Zhou, Lin
Zheng, Ming
Lin, Yanjun
Huang, Wenxiu
Chen, Jiang
Li, Yan
Wu, Dong
author_facet Xu, Zonghe
Zhou, Lin
Zheng, Ming
Lin, Yanjun
Huang, Wenxiu
Chen, Jiang
Li, Yan
Wu, Dong
author_sort Xu, Zonghe
collection PubMed
description BACKGROUND: Dynamic navigation systems have a broad application prospect in digital implanting field. This study aimed to explore and compare the dynamic navigation system learning curve of dentists with different implant surgery experience through dental models. METHODS: The nine participants from the same hospital were divided equally into three groups. Group 1 (G1) and Group 2 (G2) were dentists who had more than 5 years of implant surgery experience. G1 also had more than 3 years of experience with dynamic navigation, while G2 had no experience with dynamic navigation. Group 3 (G3) consisted of dentists with no implant surgery experience and no experience with dynamic navigation. Each participant sequentially placed two implants (31 and 36) on dental models according to four practice courses (1–3, 4–6, 7–9, 10–12 exercises). Each dentist completed 1–3, 4–6 exercises in one day, and then 7–9 and 10–12 exercises 7 ± 1 days later. The preparation time, surgery time and related implant accuracy were analyzed. RESULTS: Three groups placed 216 implants in four practice courses. The regressions for preparation time (F = 10.294, R(2) = 0.284), coronal deviation (F = 4.117, R(2) = 0.071), apical deviation (F = 13.016, R(2) = 0.194) and axial deviation (F = 30.736, R(2) = 0.363) were statistically significant in G2. The regressions for preparation time (F = 9.544, R(2) = 0.269), surgery time (F = 45.032, R(2) = 0.455), apical deviation (F = 4.295, R(2) = 0.074) and axial deviation (F = 21.656, R(2) = 0.286) were statistically significant in G3. Regarding preparation and surgery time, differences were found between G1 and G3, G2 and G3. Regarding implant accuracy, differences were found in the first two practice courses between G1 and G3. CONCLUSIONS: The operation process of dynamic navigation system is relatively simple and easy to use. The linear regression analysis showed there is a dynamic navigation learning curve for dentists with or without implant experience and the learning curve of surgery time for dentists with implant experience fluctuates. However, dentists with implant experience learn more efficiently and have a shorter learning curve.
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spelling pubmed-99268292023-02-15 The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study Xu, Zonghe Zhou, Lin Zheng, Ming Lin, Yanjun Huang, Wenxiu Chen, Jiang Li, Yan Wu, Dong BMC Oral Health Research BACKGROUND: Dynamic navigation systems have a broad application prospect in digital implanting field. This study aimed to explore and compare the dynamic navigation system learning curve of dentists with different implant surgery experience through dental models. METHODS: The nine participants from the same hospital were divided equally into three groups. Group 1 (G1) and Group 2 (G2) were dentists who had more than 5 years of implant surgery experience. G1 also had more than 3 years of experience with dynamic navigation, while G2 had no experience with dynamic navigation. Group 3 (G3) consisted of dentists with no implant surgery experience and no experience with dynamic navigation. Each participant sequentially placed two implants (31 and 36) on dental models according to four practice courses (1–3, 4–6, 7–9, 10–12 exercises). Each dentist completed 1–3, 4–6 exercises in one day, and then 7–9 and 10–12 exercises 7 ± 1 days later. The preparation time, surgery time and related implant accuracy were analyzed. RESULTS: Three groups placed 216 implants in four practice courses. The regressions for preparation time (F = 10.294, R(2) = 0.284), coronal deviation (F = 4.117, R(2) = 0.071), apical deviation (F = 13.016, R(2) = 0.194) and axial deviation (F = 30.736, R(2) = 0.363) were statistically significant in G2. The regressions for preparation time (F = 9.544, R(2) = 0.269), surgery time (F = 45.032, R(2) = 0.455), apical deviation (F = 4.295, R(2) = 0.074) and axial deviation (F = 21.656, R(2) = 0.286) were statistically significant in G3. Regarding preparation and surgery time, differences were found between G1 and G3, G2 and G3. Regarding implant accuracy, differences were found in the first two practice courses between G1 and G3. CONCLUSIONS: The operation process of dynamic navigation system is relatively simple and easy to use. The linear regression analysis showed there is a dynamic navigation learning curve for dentists with or without implant experience and the learning curve of surgery time for dentists with implant experience fluctuates. However, dentists with implant experience learn more efficiently and have a shorter learning curve. BioMed Central 2023-02-13 /pmc/articles/PMC9926829/ /pubmed/36782192 http://dx.doi.org/10.1186/s12903-023-02792-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xu, Zonghe
Zhou, Lin
Zheng, Ming
Lin, Yanjun
Huang, Wenxiu
Chen, Jiang
Li, Yan
Wu, Dong
The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title_full The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title_fullStr The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title_full_unstemmed The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title_short The effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
title_sort effect of implant surgery experience on the learning curve of a dynamic navigation system: an in vitro study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926829/
https://www.ncbi.nlm.nih.gov/pubmed/36782192
http://dx.doi.org/10.1186/s12903-023-02792-8
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