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Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?

INTRODUCTION: The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL), and untextured (NTL) 3D facial models. MATERIALS AND METHODS: The face of 50 subjects...

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Autores principales: Gibelli, Daniele, Cappella, Annalisa, Bertozzi, Filippo, Sala, Davide, Sitta, Sara, Tasso, Damiano Rosario, Tomasi, Francesca, Dolci, Claudia, Sforza, Chiarella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292572/
https://www.ncbi.nlm.nih.gov/pubmed/33867510
http://dx.doi.org/10.1097/SCS.0000000000007687
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author Gibelli, Daniele
Cappella, Annalisa
Bertozzi, Filippo
Sala, Davide
Sitta, Sara
Tasso, Damiano Rosario
Tomasi, Francesca
Dolci, Claudia
Sforza, Chiarella
author_facet Gibelli, Daniele
Cappella, Annalisa
Bertozzi, Filippo
Sala, Davide
Sitta, Sara
Tasso, Damiano Rosario
Tomasi, Francesca
Dolci, Claudia
Sforza, Chiarella
author_sort Gibelli, Daniele
collection PubMed
description INTRODUCTION: The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL), and untextured (NTL) 3D facial models. MATERIALS AND METHODS: The face of 50 subjects was acquired through stereophotogrammetry. Landmark coordinates were extracted from TL, NL, and NTL facial models, and 33 linear and angular measurements were calculated, together with surface area and volume. Accuracy of measurements among TL, NL, and NTL models was assessed through calculation of relative technical error of measurement (rTEM). The intra- and inter-observer errors for each type of facial model were calculated. RESULTS: Intra- and inter-observer error of measurements increased passing from textured to NTL and NL 3D models. Average rTEMs between TL models, and NTL and NL models were 4.5 ± 2.6% and 4.7 ± 2.8%, respectively, almost all measurements being classified as “very good” or “good.” Only for orbital height and its inclination, mandibular ramus length, nasal convexity, alar slope angle, and facial divergence, rTEM was classified as “moderate” or “poor.” CONCLUSIONS: Accuracy and precision of measurements decrease when landmarks are not previously labeled; attention must be taken when measurements have a low magnitude or involve landmarks requiring palpation.
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spelling pubmed-102925722023-06-27 Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference? Gibelli, Daniele Cappella, Annalisa Bertozzi, Filippo Sala, Davide Sitta, Sara Tasso, Damiano Rosario Tomasi, Francesca Dolci, Claudia Sforza, Chiarella J Craniofac Surg Clinical Studies INTRODUCTION: The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL), and untextured (NTL) 3D facial models. MATERIALS AND METHODS: The face of 50 subjects was acquired through stereophotogrammetry. Landmark coordinates were extracted from TL, NL, and NTL facial models, and 33 linear and angular measurements were calculated, together with surface area and volume. Accuracy of measurements among TL, NL, and NTL models was assessed through calculation of relative technical error of measurement (rTEM). The intra- and inter-observer errors for each type of facial model were calculated. RESULTS: Intra- and inter-observer error of measurements increased passing from textured to NTL and NL 3D models. Average rTEMs between TL models, and NTL and NL models were 4.5 ± 2.6% and 4.7 ± 2.8%, respectively, almost all measurements being classified as “very good” or “good.” Only for orbital height and its inclination, mandibular ramus length, nasal convexity, alar slope angle, and facial divergence, rTEM was classified as “moderate” or “poor.” CONCLUSIONS: Accuracy and precision of measurements decrease when landmarks are not previously labeled; attention must be taken when measurements have a low magnitude or involve landmarks requiring palpation. Lippincott Williams & Wilkins 2022 2021-04-15 /pmc/articles/PMC10292572/ /pubmed/33867510 http://dx.doi.org/10.1097/SCS.0000000000007687 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/) (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Clinical Studies
Gibelli, Daniele
Cappella, Annalisa
Bertozzi, Filippo
Sala, Davide
Sitta, Sara
Tasso, Damiano Rosario
Tomasi, Francesca
Dolci, Claudia
Sforza, Chiarella
Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title_full Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title_fullStr Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title_full_unstemmed Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title_short Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?
title_sort three-dimensional facial anthropometric analysis with and without landmark labelling: is there a real difference?
topic Clinical Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292572/
https://www.ncbi.nlm.nih.gov/pubmed/33867510
http://dx.doi.org/10.1097/SCS.0000000000007687
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