Size and Shape of Soft-Tissue Facial Profile: Effects of Age, Gender, and Skeletal Class

1997 ◽  
Vol 34 (6) ◽  
pp. 498-504 ◽  
Author(s):  
Virgilio F. Ferrario ◽  
Chiarella Sforza
Keyword(s):  
Soft Tissue ◽  
Polar Coordinates ◽  
Facial Growth ◽  
Facial Soft Tissue ◽  
Skeletal Class ◽  
Size And Shape ◽  
Soft Tissue Thickness ◽  
Facial Shape ◽  
Soft Tissue Profile ◽  
A Minor

Objective: A method for the quantitative and qualitative analysis of the facial soft-tissue profile has been developed, and applied to analyze the pretreatment lateral head films of 240 orthodontic patients aged 8 to 14 years. Methods: Patients were subdivided for sex, age, and skeletal class. To standardize for different facial sizes, soft-tissue profiles from nasion to pogonion were traced in polar coordinates without modifications of facial shape, and standardized for an equal skeletal vertical dimension. Results: The method allowed a simple and rapid quantitative evaluation of soft-tissue profiles during facial growth. An approximate evaluation of the soft-tissue thickness at nose, lips, and chin was also possible. No particular mathematical knowledge was required at any step of the analysis. Conclusions: Facial soft-tissue size and shape were influenced by age and sex, and to a minor extent by skeletal class.

scholarly journals Variation of Facial Soft Tissue Thickness in Nepalese Adult Orthodontic Subjects

2018 ◽  
Vol 8 (2) ◽  
pp. 22-28
Author(s):  
Ravi Kumar Mahto ◽  
Dashrath Kafle ◽  
Pankaj Kumar Singh ◽  
Sonika Khanal ◽  
Siddhartha Khanal
Keyword(s):  
Soft Tissue ◽  
Measurement Data ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Male And Female ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Soft Tissue Thickness ◽  
Significant Difference ◽  
Female Subjects

Introduction: Variations in facial soft tissue thickness have been established previously by studies conducted in different population. Hence, it is essential to obtain facial soft tissue thickness measurement data specific to a population and develop individual standards. The objective of this research is to obtain facial soft tissue thickness data of Nepalese adult male and female subjects seeking orthodontic treatment with different sagittal skeletal malocclusion and evaluate variations in facial soft tissue thickness. Materials & Method: Facial soft tissue thicknesses was measured manually on ninety pretreatment lateral cephalogram at eleven points (Glabella, Nasion, Rhinion, Subnasale, Labrale superius, Stomion, Labrale inferius, Labiomentale, Pogonion,Gnathion and Menton). One-way Analysis of variances [one-way ANOVA] followed by Least significant difference (LSD) post hoc test was used to determine difference in facial soft tissue thickness measurements among three sagittal skeletal group for both sexes. In addition, Student’s t-test was used to find difference in facial soft tissue thickness between the male and female subjects in each skeletal Class. Result: Statistically significant differences were found at points Rhinion, Subnasale, Labrale superius, Stomion and Gnathion in males and at Subnasale, Labrale superius, Stomion and Labrale inferius in females while comparing facial soft tissue thickness among three sagittal skeletal classes. Also, it was observed that mean facial soft tissue thickness was greater for males as compared to female subjects with significant differences at Subnasale, Labrale superius, and Labrale inferius in each skeletal Class. Conclusion: Facial soft tissue thickness varies considerably among different population group, sex and sagittal relationship of jaws.

scholarly journals Soft tissue thickness of face profile conditioning by dento-skeletal anomalies

2011 ◽  
Vol 139 (7-8) ◽  
pp. 439-445
Author(s):  
Tatjana Tanic ◽  
Zorica Blazej ◽  
Vladimir Mitic
Keyword(s):  
Soft Tissue ◽  
Class Ii ◽  
Class Iii ◽  
Upper Lip ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Lower Lip ◽  
Skeletal Anomalies ◽  
Soft Tissue Thickness ◽  
Soft Tissue Profile

Introduction. Orthodontic treatment of dento-skeletal anomalies is generally based on the correction of teeth and jaws relationship, while it is expected that soft facial tissue spontaneously adapts to therapeutically achieved relationship and to accompany hard tissue changes. Objective. To establish facial soft tissue thickness conditioning by the presence of dento-skeletal anomalies. Methods. The study was performed at the Dental Clinic of Nis, and involved the analysis of cephalometric rendgenograms in 121 patients, aged 12-18 years, with no previous orthodontical treatment. According to dento-skeletal relationship between teeth and jaws the patients were divided into four groups; class I (control group), class II of division 1, class II of division 2 and class III. The standard analysis of dento-skeletal profile was done according to Steiner and soft tissue profile according to Burstone was done in all. Results. The patients of class II/1 had a significantly thinner upper lip (t=2.650; p<0.05) and thinner upper lip sulcus (t=1.999; p<0.05). The patients of class II/2 had a significantly thicker upper lip (t=2.912; p<0.01), while those of class III had a significantly thinner lower lip (t=3.900; p<0.001). Conclusion. The thickness of facial soft tissue considerably influences facial profile appearance in persons with a dento-skeletal anomaly. Not only do soft tissues adapt to the existing jaws relationship, but can also camouflage present anomalies.

scholarly journals Modifications of Midfacial Soft-Tissue Thickness Among Different Skeletal Classes in Italian Children

2018 ◽  
Vol 10 (1) ◽  
pp. 1-8
Author(s):  
Daniele Gibelli ◽  
Matteo Zago ◽  
Annalisa Cappella ◽  
Claudia Dolci ◽  
Chiarella Sforza
Keyword(s):  
Soft Tissue ◽  
Soft Tissues ◽  
Class Ii ◽  
Class Iii ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Skeletal Class ◽  
Soft Tissue Thickness ◽  
Italian Children ◽  
The Relationship

Background: The anatomical assessment of the arrangement of facial soft tissues has important applications in different fields from orthodontics to plastic surgery. One of the issues concerns the relationship between facial soft tissue thickness and skeletal class. Literature mainly deals with adult populations, whereas very few studies have been focused on children. Objective: This study aims at investigating the relationship between midline facial soft tissue thickness and skeletal classes in Italian pre-treatment orthodontic child patients. Methods: Lateral cephalometric X-ray films were obtained from 220 healthy Caucasoid children (91 males and 129 females), aged between 6 and 18 years (Class I: 41 males and 70 females; Class II: 18 males and 25 females; Class III: 32 males and 34 females). All the films were digitized and 14 soft tissue thicknesses were measured on the midface; in addition, the skeletal class was assessed according to the corrected ANB angle (ANBc). Differences in facial soft tissue thickness according to sex and skeletal class were assessed through two-way ANOVA test (p<0.01). Results: Statistically significant differences according to sex were found for labrale superius, stomion and labrale inferius, with thicker soft tissues in males than in females (p<0.01). Only measurements at labrale superius and gnathion showed statistically significant differences according to skeletal class, with thicker soft tissues in Class III children and thinner ones in Class II children (p<0.01). Conclusion: The limited number of investigations, as well as the differences in protocols, renders the comparison of results from different studies difficult, suggesting further investigations to enlighten this complex and debated anatomical issue.

scholarly journals Diagnose Anthropologique A Partir Des Caractéristiques Dento-Squelettiques Et D’épaisseurs Des Tissus Mous Du Profil Facial: Etude Comparative Entre Population Autochtone Et Diaspora Etrangère

2016 ◽  
Vol 12 (36) ◽  
pp. 286
Author(s):  
Assi Ar ◽  
Beugre. Jb ◽  
Gnadoh Jj ◽  
Beugre-Kouassi Al
Keyword(s):  
Soft Tissue ◽  
Vertical Direction ◽  
Facial Growth ◽  
Tissue Thickness ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Soft Tissue Thickness ◽  
Tissus Mous ◽  
Thickness Measurements ◽  
Error Method

Objective : The aim of this study was to search for the particularities in the dento-skeletal and soft tissue thickness of the facial cutaneous profile of Black Ivorians and White Lebanese. Material and methods: This cross-sectional and descriptive study, concerned with numerical radiographs extracted from medical files of 119 adolescent patients [62 Ivorians (34 females and 28 males) and 57 Lebanese (31 females and 26 males)], from 11 to 16 years old, with skeletal class I and normodivergent faces, in first orthodontic surgery. From a drawing on acetate paper (Kodatrace type) and the materialization of true vertical and true horizontal (TVL and THL), 30 landmarks (19 cephalometric and 11 facial cutaneous profile landmarks) allowed the construction of lines and plans as well as 17 dento-skeletal measurements (10 angular et 7 linear) and 12 soft tissue thickness measurements. The data reliability was verified by Dahlberg’s error method, while the t of student on independent series (signification threshold at 0,05) allowed to compare dento-skeletal characteristics and soft tissue thickness of the two groups. The Results : Compared to White Lebanese, Black Ivorians present a facial prognathism resulting in more pronounced protrusion of alveolar bases (SNA= 85,714°, SNB= 81,321°, A-NPerp= 5,768°) and vestibuloversion of central incisives (I/i= 111,679°, I/NA= 7,214mm, i/NB= 9,036mm, NA and NB (I/NA= 27,952° and i/NB= 36,266°) responsible of the obtuser facial convexity (NA-Pog= 169,338°). Indeed, this facial convexity reveals a very low prominence of the chin (Pog-NB= -0,565 mm). Also, the maxillomandibular discrepancy observed (FMA= 24,516°, greater), implies a more important facial growth kinetic in vertical direction with black Ivoirians. This is considerably reduced with females, with a less pronounced FMA angle compared to Lebanese females [FMA° (P=0,211 ns)]. The cutaneous effect of that dento-skeletal prognathism, is tangible through more protrusive lips – hence, thicker - lips (Id-Ls= 13,677 mm and id-Li= 15,919 mm). In this way, the observed substantial thickness is justified, of supporting peri-buccal soft tissue [lower lip’s base (B-Sm= 13,742 mm) and the most inferior part of the chin (Me-Me'= 7,984 mm)]. The two males groups present, however, a soft tissue thickness relatively similar on all the chin surface [Pog-Pog’ (P= 0,393 ns); Gn-Gn’ (P=0,251 ns); Me-Me’ (P=0,245 ns)]. The Black Ivorians’ nose, platyrrhines, low and diving, present a thicker back (Rhi-Rhi’= 3,741 mm) and thin supporting peripheral soft tissue thickness (ENA-Prn = 22,468 mm, Prn perp/Sn-N’=12,935 mm, A-Sn= 13,097 mm) in general. In addition to those specific characteristics of Black Ivorians, males have a thicker soft tissue on the root of the nose (N-N’= 6,769 mm). Among the two female groups, the characteristics of soft tissue thickness are much more contrasted. Thus, besides the traditional morphological features (nose more prominent - so, thicker - with Lebanese females, and thicker lips with Ivorian females), the forehead (G-G’= 6,441mm) and the chin (Pog-Pog’= 13,941mm, GnGn’= 10,471mm, Me-Me’= 8,618mm) of Ivorian females are thicker. Conclusion : The characteristics of dento-skeletal and soft tissue thickness of Black Ivorians and White Lebanese, reflect the anthropological diagnosis of their original ethnical groups. Facial prognathism and acuteness of facial convexity are observed, as well as greater soft tissue thickness of the inferior facial third (especially in females) traditionally particularizing the negroAfricans. However, a morphological proximity of the two ethnic groups is noticeable among males, concerning the soft tissue thickness of the chin, but also in females as for facial divergence. This study, because of what the results highlightened, has a forensic anthropology interest, and reveals the importance of radiological cephalometry.

scholarly journals Evaluation of facial soft tissue thickness in asymmetric mandibular deformities after orthognathic surgery

2021 ◽  
Vol 43 (1) ◽  
Author(s):  
Luo Huang ◽  
Zhicong Li ◽  
Jing Yan ◽  
Lunqiu Chen ◽  
Zheng-guo Piao
Keyword(s):  
Soft Tissue ◽  
Orthognathic Surgery ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Thickness Change ◽  
Skeletal Class ◽  
Soft Tissue Thickness ◽  
The Face

Abstract Objectives The purpose of this study was to compare differences in facial soft tissue thickness in three-dimensional (3D) images before and after orthognathic surgery in patients with skeletal Class III malocclusion and to obtain a better understanding of the relationship between hard and soft tissue changes after surgery. Materials and method The present retrospective study included 31 patients with skeletal Class III malocclusion with mandibular chin deviation greater than 4 mm who had undergone cone-beam computed tomography before and 6 months after surgery. Seven bilateral points were established. Measurements were taken from software-generated multiplanar reconstructions. The predictor variables were timing (pre- and postoperatively) and side (deviated vs. nondedicated). A regression model and correlation analysis were conducted for statistical analysis. Results The difference of bilateral facial soft tissue thickness was statistically significantly different between deviated and nondeviated sides (P < 0.05), with lower values observed on the deviated side. The soft tissue thickness has become nearly symmetric at local regions of the lower thirds of the face after orthognathic surgery. However, most measurements showed a negative correlation between changes in soft tissue thickness and changes in bone tissues. Conclusions Skeletal Class III malocclusion with facial asymmetry is accompanied by differences in soft tissue thickness when comparing Dev and N-Dev sides of the posterior region of the mandible, where soft tissues are thinner on the Dev side. Soft tissue thickness can compensate for or camouflage the underlying asymmetric mandible. In addition, the asymmetric soft tissue thickness on the lower third of the face can be partially improved by orthognathic surgery, but the amount of soft tissue thickness change is not consistent with that of hard tissue positional change.

A dense approach for computation of facial soft tissue thickness data

2021 ◽  
pp. 200460
Author(s):  
Diana Toneva ◽  
Silviya Nikolova ◽  
Stanislav Harizanov ◽  
Dora Zlatareva ◽  
Vassil Hadjidekov
Keyword(s):  
Soft Tissue ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Soft Tissue Thickness

Midsagittal facial soft tissue thickness norms in an adult Mediterranean population

2019 ◽  
Vol 294 ◽  
pp. 217.e1-217.e7 ◽  
Author(s):  
Fouad Ayoub ◽  
Maria Saadeh ◽  
Georges Rouhana ◽  
Ramzi Haddad
Keyword(s):  
Soft Tissue ◽  
Mediterranean Population ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Soft Tissue Thickness

Testing regression and mean model approaches to facial soft-tissue thickness estimation

2020 ◽  
pp. 002580242097701
Author(s):  
Tobias MR Houlton ◽  
Nicolene Jooste ◽  
Maryna Steyn
Keyword(s):  
Soft Tissue ◽  
Regression Model ◽  
South African ◽  
Goodness Of Fit ◽  
Regression Equations ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Soft Tissue Thickness ◽  
Subject Specific ◽  
Model Approach

Average facial soft-tissue thickness (FSTT) databanks are continuously developed and applied within craniofacial identification. This study considered and tested a subject-specific regression model alternative for estimating the FSTT values for oral midline landmarks using skeletal projection measurements. Measurements were taken from cone-beam computed tomography scans of 100 South African individuals (60 male, 40 female; Mage = 35 years). Regression equations incorporating sex categories were generated. This significantly improved the goodness-of-fit ( r2-value). Validation tests compared the constructed regression models with mean FSTT data collected from this study, existing South African FSTT data, a universal total weighted mean approach with pooled demographic data and collection techniques and a regression model approach that uses bizygomatic width and maximum cranial breadth dimensions. The generated regression equations demonstrated individualised results, presenting a total mean inaccuracy (TMI) of 1.53 mm using dental projection measurements and 1.55 mm using cemento-enamel junction projection measurements. These slightly outperformed most tested mean models (TMI ranged from 1.42 to 4.43 mm), and substantially outperformed the pre-existing regression model approach (TMI = 5.12 mm). The newly devised regressions offer a subject-specific solution to FSTT estimation within a South African population. A continued development in sample size and validation testing may help substantiate its application within craniofacial identification.

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