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Three-dimensional characterization of root morphology for maxillary incisors

The aim of this study was to test the reproducibility of three-dimensional (3D) surface models of maxillary incisors and to propose a characterization of root morphology. The sample was comprised of pre-treatment cone-beam computed tomography (CBCT) images of fifty-five patients. The CBCTs were used...

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Autores principales: Ahlbrecht, Carly A., Ruellas, Antonio Carlos de Oliveira, Paniagua, Beatriz, Schilling, Juan A., McNamara, James A., Cevidanes, Lucia Helena Soares
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464764/
https://www.ncbi.nlm.nih.gov/pubmed/28594852
http://dx.doi.org/10.1371/journal.pone.0178728
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author Ahlbrecht, Carly A.
Ruellas, Antonio Carlos de Oliveira
Paniagua, Beatriz
Schilling, Juan A.
McNamara, James A.
Cevidanes, Lucia Helena Soares
author_facet Ahlbrecht, Carly A.
Ruellas, Antonio Carlos de Oliveira
Paniagua, Beatriz
Schilling, Juan A.
McNamara, James A.
Cevidanes, Lucia Helena Soares
author_sort Ahlbrecht, Carly A.
collection PubMed
description The aim of this study was to test the reproducibility of three-dimensional (3D) surface models of maxillary incisors and to propose a characterization of root morphology. The sample was comprised of pre-treatment cone-beam computed tomography (CBCT) images of fifty-five patients. The CBCTs were used to construct 3D surface models of the maxillary incisors. The reproducibility of surface models was tested by repeated construction of them by two observers. A 3D surface model that corresponded to the average of all lateral and all central incisors was generated. 3D surface distances and vector differences were calculated for each individual tooth and the average of the teeth considered. The corresponding points on the 3D surface mesh for each subgroup were compared statistically to those of the neutral subgroup using shape analysis MANCOVA and Hotelling’s t-statistic (p < 0.05). Repeated construction of surface models demonstrated adequate inter-rater reproducibility. The distribution of 3D models into root morphology subgroups was: blunt (11% and 26% of the central and lateral incisors, respectively), conical (15% of the central incisors), long (27% and 20% of the central and lateral incisors, respectively), and short (15% and 4% of the central and lateral incisors, respectively). Compared to the neutral average, statistically significant differences in root morphology were found for blunt, long, conical, and short central incisors and for blunt, long, and short lateral incisors. We can conclude that 3D surface models construction for upper incisors is reproducible. 3D shape analysis using CBCT images allows a phenotypic characterization of incisor root morphology.
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spelling pubmed-54647642017-06-22 Three-dimensional characterization of root morphology for maxillary incisors Ahlbrecht, Carly A. Ruellas, Antonio Carlos de Oliveira Paniagua, Beatriz Schilling, Juan A. McNamara, James A. Cevidanes, Lucia Helena Soares PLoS One Research Article The aim of this study was to test the reproducibility of three-dimensional (3D) surface models of maxillary incisors and to propose a characterization of root morphology. The sample was comprised of pre-treatment cone-beam computed tomography (CBCT) images of fifty-five patients. The CBCTs were used to construct 3D surface models of the maxillary incisors. The reproducibility of surface models was tested by repeated construction of them by two observers. A 3D surface model that corresponded to the average of all lateral and all central incisors was generated. 3D surface distances and vector differences were calculated for each individual tooth and the average of the teeth considered. The corresponding points on the 3D surface mesh for each subgroup were compared statistically to those of the neutral subgroup using shape analysis MANCOVA and Hotelling’s t-statistic (p < 0.05). Repeated construction of surface models demonstrated adequate inter-rater reproducibility. The distribution of 3D models into root morphology subgroups was: blunt (11% and 26% of the central and lateral incisors, respectively), conical (15% of the central incisors), long (27% and 20% of the central and lateral incisors, respectively), and short (15% and 4% of the central and lateral incisors, respectively). Compared to the neutral average, statistically significant differences in root morphology were found for blunt, long, conical, and short central incisors and for blunt, long, and short lateral incisors. We can conclude that 3D surface models construction for upper incisors is reproducible. 3D shape analysis using CBCT images allows a phenotypic characterization of incisor root morphology. Public Library of Science 2017-06-08 /pmc/articles/PMC5464764/ /pubmed/28594852 http://dx.doi.org/10.1371/journal.pone.0178728 Text en © 2017 Ahlbrecht et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ahlbrecht, Carly A.
Ruellas, Antonio Carlos de Oliveira
Paniagua, Beatriz
Schilling, Juan A.
McNamara, James A.
Cevidanes, Lucia Helena Soares
Three-dimensional characterization of root morphology for maxillary incisors
title Three-dimensional characterization of root morphology for maxillary incisors
title_full Three-dimensional characterization of root morphology for maxillary incisors
title_fullStr Three-dimensional characterization of root morphology for maxillary incisors
title_full_unstemmed Three-dimensional characterization of root morphology for maxillary incisors
title_short Three-dimensional characterization of root morphology for maxillary incisors
title_sort three-dimensional characterization of root morphology for maxillary incisors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464764/
https://www.ncbi.nlm.nih.gov/pubmed/28594852
http://dx.doi.org/10.1371/journal.pone.0178728
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