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Predictability of orthodontic tooth movement with aligners: effect of treatment design

BACKGROUNDS: The present study was designed to define: (1) which are the less predictable OTM with Invisalign aligners when the treatment plan is designed by expert operators, (2) if the presence and shape of attachments influence the predictability of OTM and (3) if patients’ demographics influence...

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Autores principales: Castroflorio, Tommaso, Sedran, Ambra, Parrini, Simone, Garino, Francesco, Reverdito, Matteo, Capuozzo, Riccardo, Mutinelli, Sabrina, Grybauskas, Simonas, Vaitiekūnas, Mantas, Deregibus, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840984/
https://www.ncbi.nlm.nih.gov/pubmed/36642743
http://dx.doi.org/10.1186/s40510-022-00453-0
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author Castroflorio, Tommaso
Sedran, Ambra
Parrini, Simone
Garino, Francesco
Reverdito, Matteo
Capuozzo, Riccardo
Mutinelli, Sabrina
Grybauskas, Simonas
Vaitiekūnas, Mantas
Deregibus, Andrea
author_facet Castroflorio, Tommaso
Sedran, Ambra
Parrini, Simone
Garino, Francesco
Reverdito, Matteo
Capuozzo, Riccardo
Mutinelli, Sabrina
Grybauskas, Simonas
Vaitiekūnas, Mantas
Deregibus, Andrea
author_sort Castroflorio, Tommaso
collection PubMed
description BACKGROUNDS: The present study was designed to define: (1) which are the less predictable OTM with Invisalign aligners when the treatment plan is designed by expert operators, (2) if the presence and shape of attachments influence the predictability of OTM and (3) if patients’ demographics influence OTM predictability. The sample comprises 79 prospectively recruited patients (mean age 30.8 years; SD 12.0; 23 M, 56 F), treated by expert operators with an average of 27 aligners (SD 15) in the maxillary arch and 25 aligners (SD 11) in the mandibular arch. Post-treatment digital models and final virtual treatment plan models were exported from ClinCheck(®) software as STL files and subsequently imported into Geomagic Qualify (®)software, to compare final teeth positions. The differences were calculated and tested for statistical significance for each tooth in the mesial–distal, vestibular–lingual and occlusal–gingival directions, as well as for angulation, inclination and rotation. In addition, the statistical significance of categorical variables was tested. RESULTS: The lack of correction was significant for all movements and in all group of teeth (P < 0.01) except for the rotation of maxillary first molar. The prescribed OTM, the group of teeth and movement, the frequency of aligner change and the use of attachment influence the outcome. The greatest discrepancies in predicted and achieved tooth position were found for angular movements and rotation of teeth characterized by round-shaped crowns, for a ratio of approximately 0.4° per 1° prescribed. Optimized attachments for upper canines and lower premolar rotation seem not working properly. Second molar movements are mostly unexpressed. Furthermore, changing the aligner every 14 days will reduce the lack of correction of the 12% with respect to 7 days aligner change. CONCLUSIONS: Predictability of orthodontic movement with aligners still has limitations related to the biomechanics of the system: the shape of some attachments and the characteristics of aligner material need to be redefined. However, the results of this study allow to properly design the virtual treatment plan, revealing how much overcorrection is needed and which attachments are most effective.
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spelling pubmed-98409842023-01-17 Predictability of orthodontic tooth movement with aligners: effect of treatment design Castroflorio, Tommaso Sedran, Ambra Parrini, Simone Garino, Francesco Reverdito, Matteo Capuozzo, Riccardo Mutinelli, Sabrina Grybauskas, Simonas Vaitiekūnas, Mantas Deregibus, Andrea Prog Orthod Research BACKGROUNDS: The present study was designed to define: (1) which are the less predictable OTM with Invisalign aligners when the treatment plan is designed by expert operators, (2) if the presence and shape of attachments influence the predictability of OTM and (3) if patients’ demographics influence OTM predictability. The sample comprises 79 prospectively recruited patients (mean age 30.8 years; SD 12.0; 23 M, 56 F), treated by expert operators with an average of 27 aligners (SD 15) in the maxillary arch and 25 aligners (SD 11) in the mandibular arch. Post-treatment digital models and final virtual treatment plan models were exported from ClinCheck(®) software as STL files and subsequently imported into Geomagic Qualify (®)software, to compare final teeth positions. The differences were calculated and tested for statistical significance for each tooth in the mesial–distal, vestibular–lingual and occlusal–gingival directions, as well as for angulation, inclination and rotation. In addition, the statistical significance of categorical variables was tested. RESULTS: The lack of correction was significant for all movements and in all group of teeth (P < 0.01) except for the rotation of maxillary first molar. The prescribed OTM, the group of teeth and movement, the frequency of aligner change and the use of attachment influence the outcome. The greatest discrepancies in predicted and achieved tooth position were found for angular movements and rotation of teeth characterized by round-shaped crowns, for a ratio of approximately 0.4° per 1° prescribed. Optimized attachments for upper canines and lower premolar rotation seem not working properly. Second molar movements are mostly unexpressed. Furthermore, changing the aligner every 14 days will reduce the lack of correction of the 12% with respect to 7 days aligner change. CONCLUSIONS: Predictability of orthodontic movement with aligners still has limitations related to the biomechanics of the system: the shape of some attachments and the characteristics of aligner material need to be redefined. However, the results of this study allow to properly design the virtual treatment plan, revealing how much overcorrection is needed and which attachments are most effective. Springer Berlin Heidelberg 2023-01-16 /pmc/articles/PMC9840984/ /pubmed/36642743 http://dx.doi.org/10.1186/s40510-022-00453-0 Text en © The Author(s) 2022, corrected publication 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/) .
spellingShingle Research
Castroflorio, Tommaso
Sedran, Ambra
Parrini, Simone
Garino, Francesco
Reverdito, Matteo
Capuozzo, Riccardo
Mutinelli, Sabrina
Grybauskas, Simonas
Vaitiekūnas, Mantas
Deregibus, Andrea
Predictability of orthodontic tooth movement with aligners: effect of treatment design
title Predictability of orthodontic tooth movement with aligners: effect of treatment design
title_full Predictability of orthodontic tooth movement with aligners: effect of treatment design
title_fullStr Predictability of orthodontic tooth movement with aligners: effect of treatment design
title_full_unstemmed Predictability of orthodontic tooth movement with aligners: effect of treatment design
title_short Predictability of orthodontic tooth movement with aligners: effect of treatment design
title_sort predictability of orthodontic tooth movement with aligners: effect of treatment design
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840984/
https://www.ncbi.nlm.nih.gov/pubmed/36642743
http://dx.doi.org/10.1186/s40510-022-00453-0
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