open access

Vol 81, No 2 (2022)
Original article
Submitted: 2021-01-12
Accepted: 2021-03-03
Published online: 2021-03-22
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The influence of mandibular divergence on facial soft tissue thickness in class I patients: a cephalometric study

T. M. Perović12, M. Blažej3, I. Jovanović1
·
Pubmed: 33778942
·
Folia Morphol 2022;81(2):472-480.
Affiliations
  1. Faculty of Medicine, University of Niš, Niš, Serbia
  2. Dental Clinic, Department for Orthodontics, Niš, Serbia
  3. Private Dental Clinic, Smiledent, Niš, Niš, Serbia

open access

Vol 81, No 2 (2022)
ORIGINAL ARTICLES
Submitted: 2021-01-12
Accepted: 2021-03-03
Published online: 2021-03-22

Abstract

Background: The aims of this study were to evaluate the association between mandibular divergence and facial soft tissue thickness (FSTT) measured at different profile levels, and the gender difference in FSTT.
Materials and methods: Lateral cephalograms were used to examine nine linear distances: the glabella area (G-G1), nasal (N-N1) and subnasal area (A-Sn), upper (Sd-Ls) and lower lip thickness (Id-Li), mentolabial sulcus (B-Sm), chin area (Pg-Pg1), gnathion area (Gn-Gn1) and menton area (Me-Me1) in 155 adult Caucasian subjects (79 males, 76 females) from the central Balkan area. Subjects were divided into three groups according to the ANB angle, Wit’s appraisal and SN/GoGn angle into normodivergent (28 male, 27 female subjects), hypodivergent (26 males, 25 females) and hyperdivergent (25 males, 24 females).
Results: Progressive decreasing in the soft tissue thickness from hypo- towards hyperdivergent group was established in N-N1, A-Sn, Gn-Gn1, Me-Me1. There are significant differences in Gn-Gn1 and Me-Me1 (p < 0.02). Progressive increasing of FSTT happens only at the level of mentolabial sulcus and these differences are significant. Significant gender differences were established for the following distances: N-N1 in hyperdivergent, A-Sn in all three examined groups, the upper lip thickness in normo- and hyperdivergent, the lower lip thickness in hypodivergent, the thickness of mentolabial sulcus in hypo- and normodivergent, Pg-Pg1 in hyperdivergent and Me-Me1 in normodivergent subjects (p < 0.05).
Conclusions: Facial soft tissue thickness showed a various degree of dependence on vertical developmental pattern at different levels of measurement. The areas whose thickness is significantly conditioned by this pattern were established: the chin area at level Gn-Gn1, Me-Me1 and the region of the mentolabial sulcus (B-Sm). At most levels, male subjects have thicker soft tissues and these differences are significant for all three groups in the subnasal area.

Abstract

Background: The aims of this study were to evaluate the association between mandibular divergence and facial soft tissue thickness (FSTT) measured at different profile levels, and the gender difference in FSTT.
Materials and methods: Lateral cephalograms were used to examine nine linear distances: the glabella area (G-G1), nasal (N-N1) and subnasal area (A-Sn), upper (Sd-Ls) and lower lip thickness (Id-Li), mentolabial sulcus (B-Sm), chin area (Pg-Pg1), gnathion area (Gn-Gn1) and menton area (Me-Me1) in 155 adult Caucasian subjects (79 males, 76 females) from the central Balkan area. Subjects were divided into three groups according to the ANB angle, Wit’s appraisal and SN/GoGn angle into normodivergent (28 male, 27 female subjects), hypodivergent (26 males, 25 females) and hyperdivergent (25 males, 24 females).
Results: Progressive decreasing in the soft tissue thickness from hypo- towards hyperdivergent group was established in N-N1, A-Sn, Gn-Gn1, Me-Me1. There are significant differences in Gn-Gn1 and Me-Me1 (p < 0.02). Progressive increasing of FSTT happens only at the level of mentolabial sulcus and these differences are significant. Significant gender differences were established for the following distances: N-N1 in hyperdivergent, A-Sn in all three examined groups, the upper lip thickness in normo- and hyperdivergent, the lower lip thickness in hypodivergent, the thickness of mentolabial sulcus in hypo- and normodivergent, Pg-Pg1 in hyperdivergent and Me-Me1 in normodivergent subjects (p < 0.05).
Conclusions: Facial soft tissue thickness showed a various degree of dependence on vertical developmental pattern at different levels of measurement. The areas whose thickness is significantly conditioned by this pattern were established: the chin area at level Gn-Gn1, Me-Me1 and the region of the mentolabial sulcus (B-Sm). At most levels, male subjects have thicker soft tissues and these differences are significant for all three groups in the subnasal area.

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Keywords

mandibular divergence, soft tissue thickness, face

About this article
Title

The influence of mandibular divergence on facial soft tissue thickness in class I patients: a cephalometric study

Journal

Folia Morphologica

Issue

Vol 81, No 2 (2022)

Article type

Original article

Pages

472-480

Published online

2021-03-22

Page views

5331

Article views/downloads

1517

DOI

10.5603/FM.a2021.0029

Pubmed

33778942

Bibliographic record

Folia Morphol 2022;81(2):472-480.

Keywords

mandibular divergence
soft tissue thickness
face

Authors

T. M. Perović
M. Blažej
I. Jovanović

References (25)
  1. Ahmed M, Shaikh A, Fida M. Diagnostic performance of various cephalometric parameters for the assessment of vertical growth pattern. Dental Press J Orthod. 2016; 21(4): 41–49.
  2. Ajwa N, Alkhars FA, AlMubarak FH, et al. Correlation between sex and facial soft tissue characteristics among young Saudi patients with various orthodontic skeletal malocclusions. Med Sci Monit. 2020; 26: e919771.
  3. Al-Sayagh NM, Saleem NR, Abdul–Qadir MY. Analysis of soft tissue facial profile in different vertical growth patterns. Al–Rafidain Dent J. 2011; 11(2): 346–356.
  4. Al-Mashhadany S, Al-Chalabi H, Nadih M. Evaluation of facial soft tissue thickness in normal adults with different vertical discrepancies. Int J Sci Res. 2017; 6(2): 938–942.
  5. Anam S, Imtiaz A, Taskeen K. Assessment of the soft tissue chins thickness with different skeletal vertical patterns in Pakistani adults. J Dentistry Oral Hygiene. 2018; 10(1): 1–6.
  6. Ashraf K, Kulshrestha R, Azam A, et al. Soft tissue analysis of chin, upper lip length and thickness in patients with different mandibular divergent patterns: a cephalometric study. Indian J Orthodontics Dentofacial Res. 2020; 4(2): 88–93.
  7. Celikoglu M, Buyuk SK, Ekizer A, et al. Assessment of the soft tissue thickness at the lower anterior face in adult patients with different skeletal vertical patterns using cone-beam computed tomography. Angle Orthod. 2015; 85(2): 211–217.
  8. Cezairli N. Comparisons of soft tissue thickness measurements in adult patients with various vertical patterns. Meandros Med Dental J. 2017; 18(2): 120–129.
  9. Feres M, Hitos S, Sousa H, et al. Comparação das dimensões de tecido mole entre padrões faciais distintos. Dental Press J Orthodontics. 2010; 15(4): 84–93.
  10. Jazmati HM, Ajaj MA, Hajeer MY. Assessment of facial soft tissue dimensions in adult patients with different sagittal skeletal classes using cone beam computed tomography. J Contemp Dent Pract. 2016; 17(7): 542–548.
  11. Jeelani W, Fida M, Shaikh A, et al. Facial soft tissue thickness among various vertical facial patterns in adult Pakistani subjects. Forensic Sci Int. 2015; 257(1): 517.e1–517.e6.
  12. Kamak H, Celikoglu M. Facial soft tissue thickness among skeletal malocclusions: is there a difference? Korean J Orthod. 2012; 42(1): 23–31.
  13. Khare V, Niwlikar KB. Effect of vertical maxillary skelatal pattern on nasal morphology in high and low angle cases. Int J Oral Health Med Res. 2017; 3(6): 75–79.
  14. Khatri JM, Sanap NB. Comparative evaluation of perioral soft tissue of skeletal normal Class I and Class II Division 1 subjects: A lateral cephalometric study. Int J Orthod Rehabil. 2020; 11(1): 1.
  15. Macari AT, Hanna AE. Comparisons of soft tissue chin thickness in adult patients with various mandibular divergence patterns. Angle Orthod. 2014; 84(4): 708–714.
  16. Meundi M, David C. Facial soft tissue thickness in South Indian adults with varied occlusions: a cone beam computed tomography study. J Indian Acad Oral Med Radiol. 2019; 31(3): 194.
  17. Oyonarte R, Hurtado M, Castro MV. Evolution of ANB and SN-GoGn angles during craniofacial growth: A retrospective longitudinal study. APOS Trends Orthod. 2016; 6: 295–301.
  18. Perović T, Blažej Z. Male and female characteristics of facial soft tissue thickness in different orthodontic malocclusions evaluated by cephalometric radiography. Med Sci Monit. 2018; 24: 3415–3424.
  19. Ramesh G, Sreedhar NG, Narayanappa M. Facial soft tissue thickness in forensic facial reconstruction: is it enough if norms set? J Forensic Res. 2015; 06(05).
  20. Rasool G, Hussain T, Hussain U, et al. Comparisons of soft tissue chin thickness in adult patients with various mandibular divergence patterns. Pakistan Orthodontic J. 2016; 8(1): 53–57.
  21. Shinde N, Jethe S, Agarkar S, et al. Comparative evaluation of soft tissue chin thickness in skeletal class i and class II adults with three mandibular divergence: a cephalometric study. J Adv Med Dent Scie Res. 2019; 7(2): 33–40.
  22. Sodawala J, Akolkar A, Sodawala F, et al. Comparison of soft tissue chin thickness at different levels of chin in subjects with various growth patterns. Indian J Dent Res. 2020; 31(2): 224–228.
  23. Khan MU, Somaiah S, Muddaiah S, et al. Comparison of soft tissue chin thickness in adult patients with various mandibular divergence patterns in Kodava population. Int J Orthod Rehabil. 2017; 8(2): 51.
  24. Subramaniam S, Karthi M, Kumar K, et al. Comparison of soft tissue chin prominence in various mandibular divergence patterns of Tamil Nadu population. J Indian Acad Dent Spec Res. 2016; 3(2): 39.
  25. Yemitan TA, Oludare YS, Ogunbanjo BO, et al. Vertical facial height and its correlation with skeletal pattern among young nigerian orthodontic patients. Int J Dentistry Oral Sci. 2018: 661–666.

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