Three‐dimensional topography of facial soft tissues for the safer and effective threading procedures

2021 ◽  
Author(s):  
Kang‐Woo Lee ◽  
Jeung Hyun Yoon ◽  
Ji‐Soo Kim ◽  
Kyung‐Seok Hu ◽  
Hee‐Jin Kim
Keyword(s):  
Soft Tissues ◽  
Three Dimensional ◽  
Facial Soft Tissues

A Quantitative Three-Dimensional Assessment of Abnormal Variations in Facial Soft Tissues of Adult Patients with Cleft Lip and Palate

2003 ◽  
Vol 40 (5) ◽  
pp. 544-549 ◽  
Author(s):  
Virgilio F. Ferrario ◽  
Chiarella Sforza ◽  
Claudia Dellavia ◽  
Gianluca M. Tartaglia ◽  
Davide Sozzi ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Cleft Lip ◽  
Soft Tissues ◽  
Cleft Lip And Palate ◽  
Three Dimensional ◽  
Z Score ◽  
Soft Tissue Profile ◽  
Variability Index ◽  
The Mean ◽  
Facial Soft Tissues

Objective To supply quantitative information about the facial soft tissues of adult operated patients with cleft lip and palate (CLP). Design, Setting, and Patients The three-dimensional coordinates of soft tissue facial landmarks were obtained using an electromagnetic digitizer in 18 Caucasian patients with CLP (11 males and 7 females aged 19 to 27 years) and 162 healthy controls (73 females and 89 males aged 18 to 30 years). From the landmarks, 15 facial dimensions and two angles were calculated. Data were compared with those collected in healthy individuals by computing z-scores. Two summary anthropometric measurements for quantifying craniofacial variations were assessed in both the patients and reference subjects: the mean z-score (an index of overall facial size), and its SD, called the craniofacial variability index (an index of facial harmony). Results In treated patients with CLP, facial size was somewhat smaller than in normal individuals, but in all occasions the mean z-score fell inside the normal interval (mean ± 2 SD). Almost all patients had a craniofacial variability index larger than the normal interval, indicating a global disharmonious appearance. Overall, in patients pronasale, subnasale, and pogonion were more posterior, the nose was shorter and larger, the face was narrower, and the soft tissue profile and upper lip were flatter than in the reference population. Conclusions The facial soft tissue structures of adult operated patients with CLP differed from those of normal controls of the same age, sex, and ethnic group. In this patient group, surgical corrections of CLP failed to provide a completely harmonious appearance, even if the deviations from the reference were limited. Further analyses of larger groups of patients are needed.

A Quantitative Three-Dimensional Assessment of Abnormal Variations in the Facial Soft Tissues of Individuals with down Syndrome

2005 ◽  
Vol 42 (4) ◽  
pp. 410-416 ◽  
Author(s):  
Chiarella Sforza ◽  
Claudia Dellavia ◽  
Claudia Dolci ◽  
Elena Donetti ◽  
Virgilio F. Ferrario
Keyword(s):  
Down Syndrome ◽  
Soft Tissue ◽  
Soft Tissues ◽  
Three Dimensional ◽  
Calculated Data ◽  
Anthropometric Measurements ◽  
Z Score ◽  
Variability Index ◽  
The Mean ◽  
Facial Soft Tissues

Objective To supply quantitative information about the facial soft tissues of subjects with Down syndrome by using summary anthropometric measurements. Design, Setting, and Patients The three-dimensional coordinates of soft tissue facial landmarks were obtained using a computerized digitizer in 28 subjects with Down syndrome (11 girls and women and 17 boys and men aged 12 to 45 years) and 429 healthy controls matched for sex, age, and ethnicity. From the landmarks, 18 facial dimensions were calculated. Data were compared with those collected in healthy individuals by computing z-scores. Two summary anthropometric measurements for quantifying craniofacial variations were assessed in both the subjects with Down syndrome and the reference subjects: the mean z-score (an index of overall facial size) and its standard deviation, craniofacial variability index (an index of facial harmony). Results In subjects with Down syndrome, facial size was smaller than in normal individuals, and in 17 subjects the mean z-score fell outside the normal interval (mean ± 2 SD). Twenty subjects had a craniofacial variability index larger than the normal interval. Conclusions The facial soft tissue structures of subjects with Down syndrome differed from those of normal controls of the same age, sex, and ethnic group: a reduced facial size was coupled with a global anomalous relationship between individual measurements. The two indices allowed discriminating more than 89% of subjects with Down syndrome when compared with normal subjects.

Three-dimensional surface models of the facial soft tissues acquired with a low-cost scanner

2018 ◽  
Vol 47 (9) ◽  
pp. 1219-1225 ◽  
Author(s):  
C.P.R. Maués ◽  
M.V.S. Casagrande ◽  
R.C.C. Almeida ◽  
M.A.O. Almeida ◽  
F.A.R. Carvalho
Keyword(s):  
Soft Tissues ◽  
Low Cost ◽  
Three Dimensional ◽  
Surface Models ◽  
Facial Soft Tissues ◽  
Dimensional Surface

scholarly journals The influence of mild versus severe hypodontia on facial soft tissues? A three-dimensional optical laser scanning-based cohort study

2020 ◽  
pp. 146531252096701
Author(s):  
Ama Johal ◽  
Eiman Hasan ◽  
Li Fong Zou ◽  
Ferranti Wong ◽  
Shakeel Shahdad ◽  
...  
Keyword(s):  
Cohort Study ◽  
Soft Tissue ◽  
Soft Tissues ◽  
Three Dimensional ◽  
Equal Distribution ◽  
Tissue Morphology ◽  
Facial Height ◽  
Alar Base ◽  
Nasolabial Angle ◽  
Facial Soft Tissues

Objective: To determine whether there are differences in the facial soft tissue morphology between participants with mild (up to two) or severe (six or more) hypodontia. Design and Setting: A prospective hospital-based cohort study. Participants and Methods: Ninety-two participants, aged 11–16 years, with confirmed hypodontia were recruited. Participants were sub-grouped based on the severity (mild, two or less and severe, six or more) and distribution of the missing teeth and age. They underwent a three-dimensional (3D) optical surface scan of the facial soft tissues. Facial surface scans were compared quantitatively, applying landmark measurements and surface-based analysis. Results: In total, 92 participants, with an equal distribution between the mild (n=46) and severe (n=46) categories, were recruited. Patients with severe hypodontia displayed a reduced alar base, lower facial height, nasolabial angle ( P = 0.02) and transgonial width ( P < 0.001) compared to those with milder hypodontia. Furthermore, significant differences were observed between mild-male and severe-female groups regarding alar base, lower anterior face height and transgonial width and between mild-male and mild-female groups regarding nasolabial angle and transgonial width. Conclusion: Significant reductions were seen in the 3D soft tissue morphology of participants with severe hypodontia, in terms of the nasolabial angle, lower facial height, alar base and transgonial widths, emphasising the importance of using facial scanning as a relatively simple non-invasive method of assessment.

A Quantitative Three-Dimensional Assessment of Abnormal Variations in Facial Soft Tissues of Adult Patients With Cleft Lip and Palate

2003 ◽  
Vol 40 (5) ◽  
pp. 544-549 ◽  
Author(s):  
Virgilio F. Ferrario ◽  
Chiarella Sforza ◽  
Claudia Dellavia ◽  
Gianluca M. Tartaglia ◽  
Davide Sozzi ◽  
...  
Keyword(s):  
Cleft Lip ◽  
Soft Tissues ◽  
Cleft Lip And Palate ◽  
Three Dimensional ◽  
Adult Patients ◽  
Facial Soft Tissues ◽  
Dimensional Assessment

scholarly journals Impairment in facial expression generation in patients with repaired unilateral cleft lip: Effects of the physical properties of facial soft tissues

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249961
Author(s):  
Donghoon Lee ◽  
Chihiro Tanikawa ◽  
Takashi Yamashiro
Keyword(s):  
Physical Properties ◽  
Cleft Lip ◽  
Soft Tissues ◽  
Three Dimensional ◽  
Control Groups ◽  
Lower Lip ◽  
Facial Motion ◽  
Facial Soft Tissues ◽  
And Control ◽  
The Relationship

Patients with repaired unilateral cleft lip with palate (UCLP) often show dysmorphology and distorted facial motion clinically, which can cause psychological issues. However, no report has clarified the details concerning distorted facial motion and the corresponding possible causative factors. In this study, we hypothesized that the physical properties of the scar and surrounding facial soft tissue might affect facial displacement while smiling in patients with UCLP (Cleft group). We thus examined the three-dimensional (3D) facial displacement while smiling in the Cleft and Control groups in order to determine whether or not the physical properties of facial soft tissues differ between the Cleft and Control groups and to examine the relationship between the physical properties of facial soft tissues on 3D facial displacement while smiling. Three-dimensional images at rest and while smiling as well as the facial physical properties (e.g. viscoelasticity) of both groups were recorded. Differences in terms of physical properties and facial displacement while smiling between the two groups were examined. To examine the relationship between facial surface displacement while smiling and physical properties, a canonical correlation analysis (CCA) was conducted. As a result, three typical abnormal features of smiling in the Cleft group compared with the Control group were noted: less upward and backward displacement on the scar area, downward movement of the lower lip, and a greater asymmetric displacement, including greater lateral displacement of the subalar on the cleft side while smiling and greater alar backward displacement on the non-cleft side. The Cleft group also showed greater elastic modulus at the upper lip on the cleft side, suggesting hardened soft tissue at the scar. The CCA showed that this hard scar significantly affected facial displacement, inducing less upward and backward displacement on the scar area and downward movement of the lower lip in patients with UCLP (correlation coefficient = 0.82, p = 0.04); however, there was no significant relationship between greater nasal alar lateral movement and physical properties of the skin at the scar. Based on these results, personalizing treatment options for dysfunction in facial expression generation may require quantification of the 3D facial morphology and physical properties of facial soft tissues.

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