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Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner

BACKGROUND/PURPOSE: With the rise of digitalization in dentistry, intraoral scanners and digital impressions have recently been adopted by many clinicians. The aim of this study was to investigate surface topography of prepared teeth and the accuracy of digital impressions. MATERIALS AND METHODS: Tw...

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Autores principales: Asar, Neset Volkan, Yun, Sarah, Schwartz, Shelby, Turkyilmaz, Ilser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Dental Sciences of the Republic of China 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740072/
https://www.ncbi.nlm.nih.gov/pubmed/35028082
http://dx.doi.org/10.1016/j.jds.2021.07.013
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author Asar, Neset Volkan
Yun, Sarah
Schwartz, Shelby
Turkyilmaz, Ilser
author_facet Asar, Neset Volkan
Yun, Sarah
Schwartz, Shelby
Turkyilmaz, Ilser
author_sort Asar, Neset Volkan
collection PubMed
description BACKGROUND/PURPOSE: With the rise of digitalization in dentistry, intraoral scanners and digital impressions have recently been adopted by many clinicians. The aim of this study was to investigate surface topography of prepared teeth and the accuracy of digital impressions. MATERIALS AND METHODS: Twenty mandibular typodonts, containing left first premolar and left first molar abutment teeth manufactured by using CAD/CAM, were used in this study. An intraoral scanner was used to scan each typodont, and each STL file generated was exported in high resolution (Group H), moderate resolution (Group M), and low resolution (Group L). All 60 files were inspected in a 3-D mesh processing software. For each file, the number of triangulation points in the meshwork were obtained for both abutment teeth. RESULTS: The measurements obtained from the 3-D mesh processing software revealed that the mean number of triangulation points on the 3-D surface of the abutment teeth (20 premolars + 20 M) were 790,625 ± 98,890 dots in Group H, 592,283 ± 74,881 dots in Group M, and 198,067 ± 19,328 dots in Group L. Significant differences were found between Group H and M (p < 0.05), Group H and L (p < 0.001), and Group M and L (p < 0.01). CONCLUSION: The outcomes of this study reveal that there are strong correlations between the data quality of digital impressions and surface topography of prepared teeth. Therefore, the utilization of STL files in high resolution format is the recommended choice for clinicians engaging in a digital workflow process.
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spelling pubmed-87400722022-01-12 Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner Asar, Neset Volkan Yun, Sarah Schwartz, Shelby Turkyilmaz, Ilser J Dent Sci Original Article BACKGROUND/PURPOSE: With the rise of digitalization in dentistry, intraoral scanners and digital impressions have recently been adopted by many clinicians. The aim of this study was to investigate surface topography of prepared teeth and the accuracy of digital impressions. MATERIALS AND METHODS: Twenty mandibular typodonts, containing left first premolar and left first molar abutment teeth manufactured by using CAD/CAM, were used in this study. An intraoral scanner was used to scan each typodont, and each STL file generated was exported in high resolution (Group H), moderate resolution (Group M), and low resolution (Group L). All 60 files were inspected in a 3-D mesh processing software. For each file, the number of triangulation points in the meshwork were obtained for both abutment teeth. RESULTS: The measurements obtained from the 3-D mesh processing software revealed that the mean number of triangulation points on the 3-D surface of the abutment teeth (20 premolars + 20 M) were 790,625 ± 98,890 dots in Group H, 592,283 ± 74,881 dots in Group M, and 198,067 ± 19,328 dots in Group L. Significant differences were found between Group H and M (p < 0.05), Group H and L (p < 0.001), and Group M and L (p < 0.01). CONCLUSION: The outcomes of this study reveal that there are strong correlations between the data quality of digital impressions and surface topography of prepared teeth. Therefore, the utilization of STL files in high resolution format is the recommended choice for clinicians engaging in a digital workflow process. Association for Dental Sciences of the Republic of China 2022-01 2021-07-31 /pmc/articles/PMC8740072/ /pubmed/35028082 http://dx.doi.org/10.1016/j.jds.2021.07.013 Text en © 2021 Association for Dental Sciences of the Republic of China. Publishing services by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Asar, Neset Volkan
Yun, Sarah
Schwartz, Shelby
Turkyilmaz, Ilser
Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title_full Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title_fullStr Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title_full_unstemmed Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title_short Analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
title_sort analysis of the relationship between the surface topography of prepared tooth surfaces and data quality of digital impressions from an intraoral scanner
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740072/
https://www.ncbi.nlm.nih.gov/pubmed/35028082
http://dx.doi.org/10.1016/j.jds.2021.07.013
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