Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents

Objective. Compare measurements of skeletal and dental areas on the CBCT to the corresponding soft-tissue measures taken from a 3D Facial Scanner. Methods. 30 patients with CBCT and 3D Facial scanner photos were selected from the orthodontic program database. 30 different distance measurements were...

Full description

Bibliographic Details
Main Authors: Da In Kim, Manuel O. Lagravère
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Dentistry
Online Access:http://dx.doi.org/10.1155/2018/8926314
id doaj-c4180bd495b349a39af32841c4e3b890
record_format Article
spelling doaj-c4180bd495b349a39af32841c4e3b8902020-11-25T02:21:21ZengHindawi LimitedInternational Journal of Dentistry1687-87281687-87362018-01-01201810.1155/2018/89263148926314Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue EquivalentsDa In Kim0Manuel O. Lagravère1School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, ECHA, 11405-87 Avenue, Edmonton, AB, T6G 1C9, CanadaSchool of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 1C9, CanadaObjective. Compare measurements of skeletal and dental areas on the CBCT to the corresponding soft-tissue measures taken from a 3D Facial Scanner. Methods. 30 patients with CBCT and 3D Facial scanner photos were selected from the orthodontic program database. 30 different distance measurements were obtained from CBCT and facial scan. OrthoInsight software was used to obtain the measurements from the facial scan images, and AVIZO software was used for corresponding CBCT landmarks. The Euclidean distance formula was used to determine the distances for the corresponding x, y, and z coordinates of the CBCT. Reliability for CBCT and Facial Scanner was completed by calculating 30 distances for 10 patients, 3 times. Once reliability was determined, all 30 distances were calculated once for CBCT and facial scanner on each patient and descriptive statistics and paired t-test were applied. Results. All distances measured presented excellent reliability, the lowest one being the left eye width for the facial scanner (ICC 0.847). The landmark with the highest mean error on the CBCT was 2.0 ± 1.6 mm on the z-axis for the spinal level landmark. The Facial Scanner’s largest mean measurement error was 1.5 ± 0.9 mm for the distance of the left corner of the mouth to gonion. All data except width between outer eye corners were statistically significant (p<0.05). The average differences between facial scan and CBCT measurements ranged between 0.77 mm (left canine to cheekbone) to 26.94 mm (left subnasale to gonion) and are thus comparable. All measurements show a reasonable standard deviation between 2.57 mm (left eye width) to 9.91 mm (left gnathion to EAM). Conclusion. Distances obtained from CBCT and facial scan present mild differences giving the perspective of a relationship between them. Understanding this difference and relationship can make it plausible to expect certain underlying skeletal distances under soft-tissue structures.http://dx.doi.org/10.1155/2018/8926314
collection DOAJ
language English
format Article
sources DOAJ
author Da In Kim
Manuel O. Lagravère
spellingShingle Da In Kim
Manuel O. Lagravère
Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
International Journal of Dentistry
author_facet Da In Kim
Manuel O. Lagravère
author_sort Da In Kim
title Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
title_short Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
title_full Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
title_fullStr Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
title_full_unstemmed Assessing the Correlation between Skeletal and Corresponding Soft-Tissue Equivalents to Determine the Relationship between CBCT Skeletal/Dental Dimensions and 3D Radiographic Soft-Tissue Equivalents
title_sort assessing the correlation between skeletal and corresponding soft-tissue equivalents to determine the relationship between cbct skeletal/dental dimensions and 3d radiographic soft-tissue equivalents
publisher Hindawi Limited
series International Journal of Dentistry
issn 1687-8728
1687-8736
publishDate 2018-01-01
description Objective. Compare measurements of skeletal and dental areas on the CBCT to the corresponding soft-tissue measures taken from a 3D Facial Scanner. Methods. 30 patients with CBCT and 3D Facial scanner photos were selected from the orthodontic program database. 30 different distance measurements were obtained from CBCT and facial scan. OrthoInsight software was used to obtain the measurements from the facial scan images, and AVIZO software was used for corresponding CBCT landmarks. The Euclidean distance formula was used to determine the distances for the corresponding x, y, and z coordinates of the CBCT. Reliability for CBCT and Facial Scanner was completed by calculating 30 distances for 10 patients, 3 times. Once reliability was determined, all 30 distances were calculated once for CBCT and facial scanner on each patient and descriptive statistics and paired t-test were applied. Results. All distances measured presented excellent reliability, the lowest one being the left eye width for the facial scanner (ICC 0.847). The landmark with the highest mean error on the CBCT was 2.0 ± 1.6 mm on the z-axis for the spinal level landmark. The Facial Scanner’s largest mean measurement error was 1.5 ± 0.9 mm for the distance of the left corner of the mouth to gonion. All data except width between outer eye corners were statistically significant (p<0.05). The average differences between facial scan and CBCT measurements ranged between 0.77 mm (left canine to cheekbone) to 26.94 mm (left subnasale to gonion) and are thus comparable. All measurements show a reasonable standard deviation between 2.57 mm (left eye width) to 9.91 mm (left gnathion to EAM). Conclusion. Distances obtained from CBCT and facial scan present mild differences giving the perspective of a relationship between them. Understanding this difference and relationship can make it plausible to expect certain underlying skeletal distances under soft-tissue structures.
url http://dx.doi.org/10.1155/2018/8926314
work_keys_str_mv AT dainkim assessingthecorrelationbetweenskeletalandcorrespondingsofttissueequivalentstodeterminetherelationshipbetweencbctskeletaldentaldimensionsand3dradiographicsofttissueequivalents
AT manuelolagravere assessingthecorrelationbetweenskeletalandcorrespondingsofttissueequivalentstodeterminetherelationshipbetweencbctskeletaldentaldimensionsand3dradiographicsofttissueequivalents
_version_ 1724866923447975936