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Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography
Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks. This study aimed to assess the feasibility of different digi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313775/ https://www.ncbi.nlm.nih.gov/pubmed/37391453 http://dx.doi.org/10.1038/s41598-023-37774-x |
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author | Lee, Joo-Hee Lee, Hye-Lim Park, In-Young On, Sung-Woon Byun, Soo-Hwan Yang, Byoung-Eun |
author_facet | Lee, Joo-Hee Lee, Hye-Lim Park, In-Young On, Sung-Woon Byun, Soo-Hwan Yang, Byoung-Eun |
author_sort | Lee, Joo-Hee |
collection | PubMed |
description | Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks. This study aimed to assess the feasibility of different digital dentition models over that of plaster casts. Plaster models, alginate impressions, intraoral scan (IOS) images, and CBCT images of 20 patients were obtained. The desktop model scanner was used to scan the alginate impression twice, five minutes and two hours after impression-making. Using an IOS, the full arch was scanned in segments using CS 3600 and simultaneously with i700 wireless. The digital twins obtained from the alginate impression and IOS were superimposed with those obtained from the plaster cast. The differences and distances at each reference point were measured. Scans of alginate impressions after two hours showed the greatest discrepancies, but these were all less than the CBCT voxel size of 0.39 mm. Alginate impression scans and IOS are suitable supplements to CBCT compared to the plaster model. Accuracy can be improved by scanning the alginate impression within five minutes or by intraoral scanning of the entire arch with segmentation. |
format | Online Article Text |
id | pubmed-10313775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103137752023-07-02 Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography Lee, Joo-Hee Lee, Hye-Lim Park, In-Young On, Sung-Woon Byun, Soo-Hwan Yang, Byoung-Eun Sci Rep Article Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks. This study aimed to assess the feasibility of different digital dentition models over that of plaster casts. Plaster models, alginate impressions, intraoral scan (IOS) images, and CBCT images of 20 patients were obtained. The desktop model scanner was used to scan the alginate impression twice, five minutes and two hours after impression-making. Using an IOS, the full arch was scanned in segments using CS 3600 and simultaneously with i700 wireless. The digital twins obtained from the alginate impression and IOS were superimposed with those obtained from the plaster cast. The differences and distances at each reference point were measured. Scans of alginate impressions after two hours showed the greatest discrepancies, but these were all less than the CBCT voxel size of 0.39 mm. Alginate impression scans and IOS are suitable supplements to CBCT compared to the plaster model. Accuracy can be improved by scanning the alginate impression within five minutes or by intraoral scanning of the entire arch with segmentation. Nature Publishing Group UK 2023-06-30 /pmc/articles/PMC10313775/ /pubmed/37391453 http://dx.doi.org/10.1038/s41598-023-37774-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Lee, Joo-Hee Lee, Hye-Lim Park, In-Young On, Sung-Woon Byun, Soo-Hwan Yang, Byoung-Eun Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title | Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title_full | Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title_fullStr | Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title_full_unstemmed | Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title_short | Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
title_sort | effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313775/ https://www.ncbi.nlm.nih.gov/pubmed/37391453 http://dx.doi.org/10.1038/s41598-023-37774-x |
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