Abstract:The objective of this study was to investigate whether it is possible to use a lateral (profile) photograph to determine the underlying skeletal Class and which reference points of the angle of convexity are most suitable for this purpose. Profile photographs and lateral cephalographs included in the baseline data for 180 orthodontic patients were retrospectively evaluated. The subjects were assigned to skeletal Classes based on Wits values obtained by radiolographic analysis. The Class I subjects were 58 pati… Show more
“…The same authors observed smaller angles for the total face angle (GL-SN-POG) in Class II than in Class I patients, which is in contrast to a reverse observation reported by Ferrario et al 16 Our results did not reveal any significant differences in total face angle for Class II children. In accordance with the findings of Godt et al, 7 however, we did notice higher values (to some extent significantly higher values) for this angle in the Class III patients than in the control group. The values those authors obtained with 95% confidence intervals (173.99u to 176.99u) were very similar to our mean values with standard deviations (168.7u to 175.2u).…”
Section: Discussionsupporting
confidence: 93%
“…These questions have not been resolved previously. 5 A number of authors [6][7][8][9][10] did find an association between soft tissue and underlying bone/tooth structures, concluding that information about skeletal and dental abnormalities can be derived from soft tissue architecture. The fact, however, that these studies primarily refer to adults illustrates that pertinent data about younger patients remain to be collected.…”
Objective: To clarify, by three-dimensional (3D) facial scans, if 4-to 6-year-old children with intraoral sagittal discrepancies and open-bite occlusion show differences in facial morphology when compared to children without anomalies. Materials and Methods: Scans of 290 children presenting with occlusal abnormalities were compared to 1772 face scans of age-matched individuals photographed with a faceSCAN IIH 3D data acquisition system. From these, three study groups were formed comprising 188 children with distal occlusion/increased overjet (Class II), 37 with mesial occlusion/inverse overjet (Class III), and 65 with open-bite occlusion. These groups were evaluated by age and gender for each group compared to the control individuals. Results: The Class II group showed statistically significant reduced dimensions of head width, upper face width, and midface length. In addition, the mean values for mouth width and lip thickness were higher, and their upper lips were located more anteriorly than in the control group. The Class III group exhibited more markedly retruded upper lips. The facial profile of female 5-year-old Class III patients was significantly more concave. Patients in the open-bite group showed reduced upper lip length, with differences only being statistically significant in male 4-year-olds. Conclusion: Dental Class II with increased overjet and dental Class III with decreased overjet influence soft tissue morphology and are represented on 3D facial scans. (Angle Orthod. 2013;83:782-789.)
“…The same authors observed smaller angles for the total face angle (GL-SN-POG) in Class II than in Class I patients, which is in contrast to a reverse observation reported by Ferrario et al 16 Our results did not reveal any significant differences in total face angle for Class II children. In accordance with the findings of Godt et al, 7 however, we did notice higher values (to some extent significantly higher values) for this angle in the Class III patients than in the control group. The values those authors obtained with 95% confidence intervals (173.99u to 176.99u) were very similar to our mean values with standard deviations (168.7u to 175.2u).…”
Section: Discussionsupporting
confidence: 93%
“…These questions have not been resolved previously. 5 A number of authors [6][7][8][9][10] did find an association between soft tissue and underlying bone/tooth structures, concluding that information about skeletal and dental abnormalities can be derived from soft tissue architecture. The fact, however, that these studies primarily refer to adults illustrates that pertinent data about younger patients remain to be collected.…”
Objective: To clarify, by three-dimensional (3D) facial scans, if 4-to 6-year-old children with intraoral sagittal discrepancies and open-bite occlusion show differences in facial morphology when compared to children without anomalies. Materials and Methods: Scans of 290 children presenting with occlusal abnormalities were compared to 1772 face scans of age-matched individuals photographed with a faceSCAN IIH 3D data acquisition system. From these, three study groups were formed comprising 188 children with distal occlusion/increased overjet (Class II), 37 with mesial occlusion/inverse overjet (Class III), and 65 with open-bite occlusion. These groups were evaluated by age and gender for each group compared to the control individuals. Results: The Class II group showed statistically significant reduced dimensions of head width, upper face width, and midface length. In addition, the mean values for mouth width and lip thickness were higher, and their upper lips were located more anteriorly than in the control group. The Class III group exhibited more markedly retruded upper lips. The facial profile of female 5-year-old Class III patients was significantly more concave. Patients in the open-bite group showed reduced upper lip length, with differences only being statistically significant in male 4-year-olds. Conclusion: Dental Class II with increased overjet and dental Class III with decreased overjet influence soft tissue morphology and are represented on 3D facial scans. (Angle Orthod. 2013;83:782-789.)
“…Godt et al 7 determined that the convexity angle most suitable for determining skeletal class was the angle subtended by Nasion-Subnasale-Pogonion N'SnPog' landmarks, as defined by Zylinski et al 1 and illustrated in Fig 1. This angle lies in the mid-sagittal plane, excludes the nose and provides an anterior-posterior assessment of the maxilla and the mandible. Manual indication of the angle was originally performed on lateral photographs 7 that provide a silhouette of the apparent midline.…”
Section: Convexity Anglementioning
confidence: 99%
“…Manual indication of the angle was originally performed on lateral photographs 7 that provide a silhouette of the apparent midline. However, with the advent of 3-D imaging, the midline has to be determined from the 3-D manifold.…”
Section: Convexity Anglementioning
confidence: 99%
“…Furthermore, new and alternative measurements on 3-D facial imaging, facilitating an efficient means to extract facial anthropometrics, are an active topic of research. 6,7 The use of linear measurements to quantify form is commonly referred to as the conventional metrical ª 2011 Australian Dental Association 141…”
Background:The facial region has traditionally been quantified using linear anthropometrics. These are well established in dentistry, but require expertise to be used effectively. The aim of this study was to augment the utility of linear anthropometrics by applying them in conjunction with modern 3-D morphometrics. Methods: Facial images of 75 males and 94 females aged 18-25 years with self-reported Caucasian ancestry were used. An anthropometric mask was applied to establish corresponding quasi-landmarks on the images in the dataset. A statistical face-space, encoding shape covariation, was established. The facial median plane was extracted facilitating both manual and automated indication of commonly used midline landmarks. From both indications, facial convexity angles were calculated and compared. The angles were related to the face-space using a regression based pathway enabling the visualization of facial form associated with convexity variation. Results: Good agreement between the manual and automated angles was found (Pearson correlation: 0.9478-0.9474, Dahlberg root mean squared error: 1.15°-1.24°). The population mean angle was 166.59°-166.29°(SD 5.09°-5.2°) for males-females. The angle-pathway provided valuable feedback. Conclusions: Linear facial anthropometrics can be extended when used in combination with a face-space derived from 3-D scans and the exploration of property pathways inferred in a statistically verifiable way.
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