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Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images

BACKGROUND: To assess the accuracy of digital models generated using commercially available software to predict anterior teeth root inclination characteristics and compare the results to relevant data obtained from CBCT images. MATERIAL AND METHODS: Following sample size calculation and after applic...

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Autores principales: Dastoori, Mahmoud, Bouserhal, Joseph P., Halazonetis, Demetrios J., Athanasiou, Athanasios E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medicina Oral S.L. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311401/
https://www.ncbi.nlm.nih.gov/pubmed/30607223
http://dx.doi.org/10.4317/jced.55180
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author Dastoori, Mahmoud
Bouserhal, Joseph P.
Halazonetis, Demetrios J.
Athanasiou, Athanasios E.
author_facet Dastoori, Mahmoud
Bouserhal, Joseph P.
Halazonetis, Demetrios J.
Athanasiou, Athanasios E.
author_sort Dastoori, Mahmoud
collection PubMed
description BACKGROUND: To assess the accuracy of digital models generated using commercially available software to predict anterior teeth root inclination characteristics and compare the results to relevant data obtained from CBCT images. MATERIAL AND METHODS: Following sample size calculation and after application of inclusion and exclusion criteria, pre-treatment maxillary and mandibular plaster models and the corresponding CBCT scans of 31 patients attending a private orthodontic clinic were selected. The subjects were 10 males and 21 females with age range 12 to 40 years. Plaster models were scanned using the high resolution mode of an Ortho Insight 3D scanner and CBCT scans were taken using a Kodak 9500 Cone Beam 3D System machine. The teeth on the digital scans were segmented and virtual roots were predicted and constructed by the Ortho Insight 3D software. The long axes of the predicted roots and the actual roots, as segmented from the CBCT images, were computed using best-fit lines. The inter-axis angle was used to assess error in root inclination prediction by the software. Mann-Whitney and Kruskal-Wallis tests were used. Intra-examiner error was evaluated using the Bland-Altman method. RESULTS: The maximum disparity in angle between images derived from digital models and CBCT data was almost 40 degrees (upper left canine). The upper and lower canines produced the worst results, followed by the lower lateral incisors. The upper central incisors showed the best results, although the maximum angle of difference exceeded 20 degrees (with the median around 8 degrees). CONCLUSIONS: Root morphology imaging prediction is not a primary function of this software and this study confirmed its limitation as a sole tool in routine clinical applications. At present these predictions cannot be considered accurate or reliable unless correlated clinically with a radiographic image. Key words:Digital models, CBCT, tooth root inclination prediction software.
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spelling pubmed-63114012019-01-03 Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images Dastoori, Mahmoud Bouserhal, Joseph P. Halazonetis, Demetrios J. Athanasiou, Athanasios E. J Clin Exp Dent Research BACKGROUND: To assess the accuracy of digital models generated using commercially available software to predict anterior teeth root inclination characteristics and compare the results to relevant data obtained from CBCT images. MATERIAL AND METHODS: Following sample size calculation and after application of inclusion and exclusion criteria, pre-treatment maxillary and mandibular plaster models and the corresponding CBCT scans of 31 patients attending a private orthodontic clinic were selected. The subjects were 10 males and 21 females with age range 12 to 40 years. Plaster models were scanned using the high resolution mode of an Ortho Insight 3D scanner and CBCT scans were taken using a Kodak 9500 Cone Beam 3D System machine. The teeth on the digital scans were segmented and virtual roots were predicted and constructed by the Ortho Insight 3D software. The long axes of the predicted roots and the actual roots, as segmented from the CBCT images, were computed using best-fit lines. The inter-axis angle was used to assess error in root inclination prediction by the software. Mann-Whitney and Kruskal-Wallis tests were used. Intra-examiner error was evaluated using the Bland-Altman method. RESULTS: The maximum disparity in angle between images derived from digital models and CBCT data was almost 40 degrees (upper left canine). The upper and lower canines produced the worst results, followed by the lower lateral incisors. The upper central incisors showed the best results, although the maximum angle of difference exceeded 20 degrees (with the median around 8 degrees). CONCLUSIONS: Root morphology imaging prediction is not a primary function of this software and this study confirmed its limitation as a sole tool in routine clinical applications. At present these predictions cannot be considered accurate or reliable unless correlated clinically with a radiographic image. Key words:Digital models, CBCT, tooth root inclination prediction software. Medicina Oral S.L. 2018-11-01 /pmc/articles/PMC6311401/ /pubmed/30607223 http://dx.doi.org/10.4317/jced.55180 Text en Copyright: © 2018 Medicina Oral S.L. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Dastoori, Mahmoud
Bouserhal, Joseph P.
Halazonetis, Demetrios J.
Athanasiou, Athanasios E.
Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title_full Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title_fullStr Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title_full_unstemmed Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title_short Anterior teeth root inclination prediction derived from digital models: A comparative study of plaster study casts and CBCT images
title_sort anterior teeth root inclination prediction derived from digital models: a comparative study of plaster study casts and cbct images
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311401/
https://www.ncbi.nlm.nih.gov/pubmed/30607223
http://dx.doi.org/10.4317/jced.55180
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