DOI QR코드

DOI QR Code

Assessment of dental age estimation using dentinal translucency in ground sections of single rooted teeth: a digital image analysis

  • Abelene Maria Durand (Department of Oral and Maxillofacial Pathology and Microbiology, S.R.M Dental College) ;
  • Madhu Narayan (Department of Oral and Maxillofacial Pathology and Microbiology, S.R.M Dental College) ;
  • Raghavendhar Karthik (Department of Oral and Maxillofacial Pathology and Microbiology, S.R.M Dental College) ;
  • Rajkumar Krishnan (Department of Oral and Maxillofacial Pathology and Microbiology, S.R.M Dental College) ;
  • Narasimhan Srinivasan (Hamad Dental Center, Hamad Medical Corporation) ;
  • Dinesh Kumar (Department of Oral and Maxillofacial Pathology and Microbiology, S.R.M Dental College)
  • 투고 : 2023.11.07
  • 심사 : 2024.02.14
  • 발행 : 2024.06.30

초록

Human dentition is unique to individuals and helps in identification of individuals in forensic odontology. This study proposes to study the manually ground sections of single rooted teeth using digital methods for dental age estimation. To assess the dentinal translucency from the scanned digital images of manually ground section of teeth using commercially available image edition software. Corroborating the root dentinal translucency length and region of interest (ROI) of translucency zone in pixels (as a marker of dental age) with the chronological age of the subject, as stratified by different age groups. Twenty single-rooted extracted teeth from 20 patients each from 6 groups divided as per age. Manual sectioning of the teeth followed by scanning the sections was done. Root area in pixels and ROI of translucency zone were measured. From the observed values, translucency length percentage (TLP) and percentage of ROI in pixels (TPP) was calculated and tabulated. Pearson's correlation coefficients were obtained for age with TLP and TPP. Positive correlation existed between age and TLP and also between age and TPP. With the obtained data, multilinear regression equations for specific age groups based on 10-year intervals were derived. By a step-down analysis method, age was estimated with an average error of around ±7.9 years. This study gives a novel method for age-estimation that can be applied in real-time forensic sciences.

키워드

참고문헌

  1. Bommannavar S, Kulkarni M. Comparative study of age estimation using dentinal translucency by digital and conventional methods. J Forensic Dent Sci 2015;7:71-5.
  2. Avon SL. Forensic odontology: the roles and responsibilities of the dentist. J Can Dent Assoc 2004;70:453-8.
  3. Acharya AB. A new digital approach for measuring dentin translucency in forensic age estimation. Am J Forensic Med Pathol 2010;31:133-7.
  4. Acharya AB. Forensic dental age estimation by measuring root dentin translucency area using a new digital technique. J Forensic Sci 2014;59:763-8.
  5. Bajpai M, Pardhe N, Kumar M, Agrawal S. A comparative evaluation of Gustafson's formula and new formula for age estimation in India - a forensic study. Prague Med Rep 2015;116:203-9.
  6. Drusini A, Calliari I, Volpe A. Root dentine transparency: age determination of human teeth using computerized densitometric analysis. Am J Phys Anthropol 1991;85:25-30.
  7. Acharya AB, Vimi S. Effectiveness of Bang and Ramm's formulae in age assessment of Indians from dentin translucency length. Int J Legal Med 2009;123:483-8.
  8. Kattappagari KK, Kommalapati RK, Katuri D, Murakonda RS, Chitturi RT, Reddy BV. Age estimation by assessment of dentin translucency in single rooted permanent teeth. J Int Oral Health 2014;6:37-40.
  9. Robbins Schug G, Brandt ET, Lukacs JR. Cementum annulations, age estimation, and demographic dynamics in MidHolocene foragers of North India. Homo 2012;63:94-109.
  10. Bang G, Ramm E. Determination of age in humans from root dentin transparency. Acta Odontol Scand 1970;28:3-35.
  11. Gustafson G. Microscopic examination of teeth as a means of identification in forensic medicine. J Am Dent Assoc 1947;35:720-4.
  12. Miles AEW. Dentition in the estimation of age. J Dent Res 1963;42:255-63.
  13. Singh S, Venkatapathy R, Balamurali P, Charles N, Suganya R. Digital approach for measuring dentin translucency in forensic age estimation. J Forensic Dent Sci 2013;5:47-51.
  14. Thomas GJ, Whittaker DK, Embery G. A comparative study of translucent apical dentine in vital and non-vital human teeth. Arch Oral Biol 1994;39:29-34.
  15. Dalitz GD. Age determination of adult human remains by teeth examination. J Forensic Sci Soc 1962;3:11-21.
  16. Solheim T. Dental root translucency as an indicator of age. Scand J Dent Res 1989;97:189-97.
  17. Gorard S. Revisiting a 90-year-old debate: the advantages of the mean deviation. Br J Educ Stud 2005;53:417-30.
  18. Schmeling A, Geserick G, Reisinger W, Olze A. Age estimation. Forensic Sci Int 2007;165:178-81.
  19. Solheim T, Sundnes PK. Dental age estimation of Norwegian adults - a comparison of different methods. Forensic Sci Int 1980;16:7-17.
  20. Gupta S, Chandra A, Agnihotri A, Gupta OP, Maurya N. Age estimation by dentin translucency measurement using digital method: an institutional study. J Forensic Dent Sci 2017;9:42.
  21. Shah JS, Ranghani AF, Limdiwala PG. Age estimation by assessment of dentin translucency in permanent teeth. Indian J Dent Res 2020;31:31-6.
  22. Parra RC, Ubelaker DH, Adserias-Garriga J, Escalante-Florez KJ, Condori LA, Buikstra JE. Root dentin translucency and forensic international dental database: methodology for estimation age-at-death in adults using single-rooted teeth. Forensic Sci Int 2020;317:110572.