International Journal of Dental Sciences & Research - Volumes & Issues - Volume 2: July 2022, Issue 1

Radiographic assessment of facial soft tissue thickness on lateral cephalogram in young adult

  • Published: July 2022
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Authors

Sandeep Pritam, K Arvinda, Amit K Nayar, Ruchi Nayar, Deepanshu Garg

DOI Number

–

Keywords

Body mass index, soft tissue, ultrasound, facial reconstruction

Abstract

Aims: The aims of present study are: 1. To assess Facial soft tissue thicknesses for males and females of different skeletal classes on Lateral cephalograms.2. To assess any possible correlation between Facial soft tissue thicknesses, gender and skeletal class es.3. To assess any possible correlation between Facial soft tissue thicknesses and Body Mass Index.

Materials & methods: Sample included patients reported to department of Orthodontics. Total sample of 200 patients including 100 males and 100 females was taken. Body mass index (BMI) of each individual was calculated and soft tissue thickness at different facial points was measured from lateral cephalograms.

Results and conclusion: Facial soft tissue thickness (FSTT) was significantly different among class I, II and III females for point Sn. Highly significant positive correlations between FSTT and BMI were obtained for points G, Lm, Po, Gn in males while in females, significant correlations were observed at points G, Na, Lm and Po.

References

  1. N. Stephan, Beyond the sphere of the english facial approximation literature: ramifications of german papers on western method concepts, J. Forensic Sci. 51 (4) (2006) 736–739.
  2. Codinha S. Facial soft tissue thicknesses for the Portugese adult population, Forensic Sci Int. 2009; 184:80.e1–80.e7, doi:10.1016/j.forsciint.2008.11.011.
  3. Vanezis, M. Vanezis, G.Mc. Combe, T. Niblett, Facial reconsruction using 3-D computer graphics, Forensic Sci. Int. 108 (2000) 87–95.
  4. El-Mehallawi IH, Soliman EM. Ultrasonic assessment of facial soft tissue thickness in adult Egyptians. Forensic Sci Int 2001; 1117:99-107.
  5. Utsuno H, Kageyama T, Deguchi T, Yoshino M, Miyazawa H, Inoue K. Facial soft tissue thickness in Japanese female children. Forensic Sci Int 2005;152:e101-7.
  6. Heiko V, Tina R, Klaus-Peter H. Dose reduction by direct-digital cephalometric radiography. Angle Orthod 2001; 71:e159-63.
  7. Clement JG, Marks MK, Computer Graphic Facial Reconstruction. Elsevier Aca demic Press; Amsterdam; 2005.pp.36.
  8. Utsuno H, Kageyama T, Uchida K, Yoshino M, Miyazawa H, Inoue K. Facial soft tissue thickness in Japanese children. Forensic Sci Int, 2010; 199, 109.e1-109.e6
  9. Dumont T, Simon E, Stricker M, Kahn JL, Chassagne JF. Facial fat: descriptive and functional anatomy, from a review of literature and dissections of 10 split-faces. Ann Chir Plast Esthet. 2007; 52(1):51-61, doi: 10.1016/j.anplas.2006.04.003.
  10. Simpson E, Henneberg M. Variation in soft tissue thickness on the human face and their relation to craniometric dimensions. Am J Phys Anthropol. 2002; 118:121-133 1
  11. Dumont ER. Mid-facial tissue depth of white children: an aid in facial recon struction J Forensic Sci1986; 31(4):1463–9.
  12. Starbuck JM, Ward RE. The effect of tissue depth variation on craniofa cial reconstructions, Forensic Sci Int. 2007; 172:130-136, doi: 10.1016/j.forsci int.2007.01.006.
  13. Claes P, Vandermeulen D, de Greef S, Willems G, Suetens P. Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depth: methodology and validation Forensic Sci Int 2006;159: S147–58.
  14. De Greef, P. Claes, D. Vandermeulen, W. Mollemans, P. Suetens, G. Wil lems, Large-scale in-vivo Caucasian facial soft tissue thickness database for cra niofacial reconstruction, Forensic Sci. Int. 159S (2006) S126–S146.
  15. Yagain VK; Pai SR; Kalthur SG; Chethan, P & Hemalatha I. Study of Cephalic Index in Indian Students Estudio del Índice Cefálico en Estudiantes Indios. Int J Morphol, 2012 30(1):125-129.
  16. Shetti VR, Pai SR, Sneha, G.K, Gupta C, Chethan P, Soumya. Study of Prosopic (Facial) Index of Indian and Malaysian Students Estudio del Índice Prosopo (Facial) de Estudiantes de la India y Malasia Int J Morphol 2011; 29(3):1018-21.
  17. Kotrashetti VS, Mallapur MD. Radiographic assessment of facial soft tissue thick ness in South Indian Population-An anthropological study. Journal of Forensic and Legal Medicine.2016; 39:161-8.
  18. De Greef, P. Claes, D. Vandermeulen, W. Mollemans, P. Suetens, G. Willems, Large-scale in-vivo Caucasian facial soft tissue thickness database for craniofacial re construction, Forensic Sci. Int. 159S (2006) S126–S146.
  19. Johari M, Esmaeili F, Hamidi H. Facial Soft Tissue Thickness of Midline in an Iranian Sample: MRI Study. Open Dent J. 2017; 30; 11:375-383.
  20. Wang J, Zhao X, Mi C, Raza I. The study on facial soft tissue thickness using Han population in Xinjiang. Forensic Sci Int. 2016; 266:585. e1-585.e5.
  21. Sutton PRN. Bizygomatic diameter: the thickness of the soft tissues over the zygions. Am J Phys Anthrop. 1969; 30:303-310. 22. Dong Y, Huang L, Feng Z, Bai S, Wu G, Zhao Y. Influence of sex and body mass index on facial soft tissue thickness measurements of the north.

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Journal

International Journal of Dental Sciences & Research

ISSN

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Periodicity

Bi-Annual

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