Cargando…
Accurate gingival recession quantification using 3D digital dental models
OBJECTIVES: To develop and validate a method for accurate quantitative assessment of gingival recessions based on superimposition of serial 3D digital models. MATERIALS AND METHODS: Gingival recessions of mild (0.5–2 mm) and increased (3–7 mm) severity were simulated on stone casts and surface model...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102060/ https://www.ncbi.nlm.nih.gov/pubmed/36424472 http://dx.doi.org/10.1007/s00784-022-04795-1 |
_version_ | 1785025621070446592 |
---|---|
author | Dritsas, Konstantinos Halazonetis, Demetrios Ghamri, Mohammed Sculean, Anton Katsaros, Christos Gkantidis, Nikolaos |
author_facet | Dritsas, Konstantinos Halazonetis, Demetrios Ghamri, Mohammed Sculean, Anton Katsaros, Christos Gkantidis, Nikolaos |
author_sort | Dritsas, Konstantinos |
collection | PubMed |
description | OBJECTIVES: To develop and validate a method for accurate quantitative assessment of gingival recessions based on superimposition of serial 3D digital models. MATERIALS AND METHODS: Gingival recessions of mild (0.5–2 mm) and increased (3–7 mm) severity were simulated on stone casts and surface models were created. The outlines of the gingival margins of the mild (A) and severe recessions (B) were compared to the original gingival margins following 3D best fit superimposition through a gold standard technique (GS), which used intact adjacent structures, and the tested method (CC), which used single tooth crowns at the position of recessions, as superimposition reference. The primary outcome was the distance between the most apical point of each corresponding gingival margin along the respective tooth long axis. RESULTS: For mild recessions, the median difference of the test methods (CC_A) from the reference method (GS_A) was 0.008 mm (IQR: 0.093; range: − 0.143, 0.147). For severe recessions, the median difference of the test method (CC_B) from the reference method (GS_B) was 0.009 mm (IQR: 0.091; range: − 0.170, 0.198). The proposed method (CC) showed very high intra- and inter-operator reproducibility (median: 0.025 and 0.033 mm, respectively). CONCLUSIONS: The suggested method offers highly accurate monitoring of gingival margin changes and diagnosis of gingival recessions using 3D digital dental models. The method is applicable irrespective of changes in tooth position or form, allowing for assessments over any time span. CLINICAL RELEVANCE: The accurate detection and visualization of gingival margin changes in 3D will enhance diagnosis and patient-doctor communication. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00784-022-04795-1. |
format | Online Article Text |
id | pubmed-10102060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101020602023-04-15 Accurate gingival recession quantification using 3D digital dental models Dritsas, Konstantinos Halazonetis, Demetrios Ghamri, Mohammed Sculean, Anton Katsaros, Christos Gkantidis, Nikolaos Clin Oral Investig Research OBJECTIVES: To develop and validate a method for accurate quantitative assessment of gingival recessions based on superimposition of serial 3D digital models. MATERIALS AND METHODS: Gingival recessions of mild (0.5–2 mm) and increased (3–7 mm) severity were simulated on stone casts and surface models were created. The outlines of the gingival margins of the mild (A) and severe recessions (B) were compared to the original gingival margins following 3D best fit superimposition through a gold standard technique (GS), which used intact adjacent structures, and the tested method (CC), which used single tooth crowns at the position of recessions, as superimposition reference. The primary outcome was the distance between the most apical point of each corresponding gingival margin along the respective tooth long axis. RESULTS: For mild recessions, the median difference of the test methods (CC_A) from the reference method (GS_A) was 0.008 mm (IQR: 0.093; range: − 0.143, 0.147). For severe recessions, the median difference of the test method (CC_B) from the reference method (GS_B) was 0.009 mm (IQR: 0.091; range: − 0.170, 0.198). The proposed method (CC) showed very high intra- and inter-operator reproducibility (median: 0.025 and 0.033 mm, respectively). CONCLUSIONS: The suggested method offers highly accurate monitoring of gingival margin changes and diagnosis of gingival recessions using 3D digital dental models. The method is applicable irrespective of changes in tooth position or form, allowing for assessments over any time span. CLINICAL RELEVANCE: The accurate detection and visualization of gingival margin changes in 3D will enhance diagnosis and patient-doctor communication. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00784-022-04795-1. Springer Berlin Heidelberg 2022-11-23 2023 /pmc/articles/PMC10102060/ /pubmed/36424472 http://dx.doi.org/10.1007/s00784-022-04795-1 Text en © The Author(s) 2022 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/) . |
spellingShingle | Research Dritsas, Konstantinos Halazonetis, Demetrios Ghamri, Mohammed Sculean, Anton Katsaros, Christos Gkantidis, Nikolaos Accurate gingival recession quantification using 3D digital dental models |
title | Accurate gingival recession quantification using 3D digital dental models |
title_full | Accurate gingival recession quantification using 3D digital dental models |
title_fullStr | Accurate gingival recession quantification using 3D digital dental models |
title_full_unstemmed | Accurate gingival recession quantification using 3D digital dental models |
title_short | Accurate gingival recession quantification using 3D digital dental models |
title_sort | accurate gingival recession quantification using 3d digital dental models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102060/ https://www.ncbi.nlm.nih.gov/pubmed/36424472 http://dx.doi.org/10.1007/s00784-022-04795-1 |
work_keys_str_mv | AT dritsaskonstantinos accurategingivalrecessionquantificationusing3ddigitaldentalmodels AT halazonetisdemetrios accurategingivalrecessionquantificationusing3ddigitaldentalmodels AT ghamrimohammed accurategingivalrecessionquantificationusing3ddigitaldentalmodels AT sculeananton accurategingivalrecessionquantificationusing3ddigitaldentalmodels AT katsaroschristos accurategingivalrecessionquantificationusing3ddigitaldentalmodels AT gkantidisnikolaos accurategingivalrecessionquantificationusing3ddigitaldentalmodels |