Age estimation, Mandibular canine, Mandibular premolars, Odisha population, Pulp/tooth area ratio
Citation Information :
Behura SS, Nishat R, Mukherjee S, Kumar V, Swain S, Raghuvanshi M. A Digital Radiographic Study of Age Estimation Using Area-specific Formula in Odisha Population. J Contemp Dent Pract 2021; 22 (8):928-932.
Aim: The aim of the article was to evaluate the feasibility of pulp/tooth area ratio in three mandibular teeth, namely left canine, left first premolar, and left second premolar (33, 34, and 35), as an indicator of age using digital panoramic radiograph and Kvaal\'s parameters. The study also aimed at computing an area-specific formula for age estimation in Odisha population.
Materials and methods: Observation and analysis of 50 digital orthopantomographs (OPGs) and clinical data of patients were made. These images were saved as high-resolution JPEG files. Using the Adobe Photoshop CS3 (extended) image editing software program (Adobe Systems Inc, San Jose, California, United States), the pulp/tooth area ratio of 33, 34, and 35 was analyzed. These ratios were substituted in Odisha population-specific formula, derived using principal component regression analysis.
Results: The mean chronological age was 33.24 years. Principal component regression analysis was used to derive multiple regression formulae for individual teeth as well as a combined formula. R2 (coefficient of determination) for combined three mandibular teeth was highest (0.7769) with a standard error of 4.5969 years and thus was a better predictor of age in the population of Odisha. In terms of an individual tooth, comparison between chronological and predicted age revealed that left second mandibular premolar (35) had highest correlation to actual age. Karl Pearson\'s correlation coefficient showed correlation between age and the mean of ratios from combined three mandibular teeth was stronger than that of single tooth.
Conclusion: In the present study, second left mandibular premolar showed highest correlation to actual age when used alone. The use of three teeth in combination increased the correlation. This Odisha-specific formula showed promising results and can be used for forensic applications in this population.
Clinical significance: Using three different teeth for age estimation proved to be a better predictor of age in the Odisha population. Moreover, the obtained formula can act as a standard and be used for anthropological or forensic investigations in the said population.
Mathew DG, Rajesh S, Koshi E, et al. Adult forensic age estimation using mandibular first molar radiographs: a novel technique. J Forensic Dent Sci 2013;5(1):56–59. DOI: 10.4103/0975-1475.114552.
Ubelaker DH, Khosrowshahi H. Estimation of age in forensic anthropology: historical perspective and recent methodological advances. Forensic Sci Res 2019;4(1):1–9. DOI: 10.1080/20961790.2018.1549711.
Behura SS, Mukherjee S, Nishat R, et al. Assessment of the awareness of knowledge of dental records in forensic dentistry among undergraduate dental students. Indian J Forensic Med Toxicol 2020;14(1):123–129. DOI: 10.37506/v14/i1/2020/ijfmt/192879.
Chaudhary RK, Doggalli N. Commonly used different dental age estimation methods in children and adolescents. Int J Forensic Odontol 2018;3(2):50–54. DOI: 10.4103/ijfo.ijfo_18_18.
Alkass K, Buchholz BA, Ohtani S, et al. Age estimation in forensic sciences: application of combined aspartic acid racemization and radiocarbon analysis. Mol Cell Proteomics 2010;9(5):1022–1030. DOI: 10.1074/mcp.M900525-MCP200.
Babshet M, Acharya AB, Naikmasur VG. Age estimation in Indians from pulp/tooth ratio of mandibular canines. Forensic Sci Int 2010;197(1–3):125.e1–125.e4. DOI: 10.1016/j.forsciint.2009.12.065.
Panchbhai AS. Dental radiographic indicators: a key to age estimation. Dentomaxillofac Radiol 2011;40(4):199–212. DOI: 10.1259/dmfr/19478385.
Cameriere R, Ferrante L, Belcastro MG, et al. Age estimation by pulp/tooth ratio in canines by peri-apical X-rays. J Forensic Sci 2007;52(1):166–170. DOI: 10.1111/j.1556-4029.2006.00336.x.
Kvaal SI, Kolltveit KM, Thomsen IO, et al. Age estimation of adults from dental radiographs. Forensic Sci Int 1995;74(3):175–185. DOI: 10.1016/0379-0738(95)01760-g.
Saxena S. Age estimation of Indian adults from orthopantomographs. Braz Oral Res 2011;25(3):225–229. DOI: 10.1590/s1806-83242011005000009.
Bosmans N, Ann P, Aly M, et al. The application of Kvaal's dental age calculation technique on panoramic dental radiographs. Forensic Sci Int 2005;153(2–3):208–212. DOI: 10.1016/j.forsciint.2004.08.017.
Aboshi H, Takahashi T, Komuro T. Age estimation using microfocus x-ray computed tomography of lower premolars. Forensic Sci Int 2010;200(1–3):35–40. DOI: 10.1016/j.forsciint.2010.03.024.
Acharya AB. Age estimation in Indians using Demirjian's 8-teeth method. J Forensic Sci 2011;56(1):124–127. DOI: 10.1111/j.1556-4029.2010.01566.x.
Arora J, Talwar I, Sahni D, et al. Secondary dentine as a sole parameter for age estimation: Comparison and reliability of qualitative and quantitative methods among North Western adult Indians. Egyptian J Forensic Sci 2016;6(2):170–178. DOI: 10.1016/j.ejfs.2016.05.006.
Pinchi V, Pradella F, Buti J, et al. A new age estimation procedure based on the 3D CBCT study of the pulp cavity and hard tissues of the teeth for forensic purposes: a pilot study. J Forensic Leg Med 2015;36:150–157. DOI: 10.1016/j.jflm.2015.09.015.
Marroquin Penaloza TY, Karkhanis S, Kvaal SI, et al. Application of the Kvaal method for adult dental age estimation using cone beam computed tomography (CBCT). J Forensic Leg Med 2016;44:178–182. DOI: 10.1016/j.jflm.2016.10.013.
Timme M, Borker J, Nagelmann N, et al. Evaluation of secondary dentin formation for forensic age assessment by means of semi-automatic segmented ultrahigh field 9.4 T UTE MRI datasets. Int J Legal Med 2020;134(6):2283–2288. DOI: 10.1007/s00414-020-02425-7.
Juneja M, Devi YB, Rakesh N, et al. Age estimation using pulp/tooth area ratio in maxillary canines: a digital image analysis. J Forensic Dent Sci 2014;6(3):160–165. DOI: 10.4103/0975-1475.137047.
Jagannathan N, Neelakantan P, Thiruvengadam C, et al. Age estimation in an Indian population using pulp/tooth volume ratio of mandibular canines obtained from cone beam computed tomography. J Forensic Odontostomatol 2011;29(1):1–6. PMID: 21841263; PMCID: PMC5734837.
Kumar M, Choudhary S. Age estimation using pulp tooth area ratio in North Indian population. J Indian Acad Oral Med Radiol 2019;31(4):359–362. DOI: 10.4103/jiaomr.jiaomr_148_19.
Jeevan MB, Kale AD, Angadi PV, et al. Age estimation by pulp/tooth area ratio in canines: Cameriere's method assessed in an Indian sample using radiovisiography. Forensic Sci Int 2011;204(1–3):209.e1–209.e5. DOI: 10.1016/j.forsciint.2010.08.017.
Dehghani M, Shadkam E, Ahrari F, et al. Age estimation by canines’ pulp/tooth ratio in an Iranian population using digital panoramic radiography. Forensic Sci Int 2018;285:44–49. DOI: 10.1016/j.forsciint.2018.01.016.
Ravipati S, Guttikonda VR. Age estimation using pulp/tooth area ratio of permanent mandibular first premolar. J NTR Univ Health Sci 2019;8(3):192–197. DOI: 10.4103/JDRNTRUHS.JDRNTRUHS_51_19.
Chandan PK, Arora KS, Das M, et al. Assessment of validity and reliability of Kvaal's method for age estimation among a population sample – a retrospective study. Indian J Dent Res 2020;31(2):186–190. DOI: 10.4103/ijdr.IJDR_209_18.
Singal K, Sharma N, Narula SC, et al. Evaluation of age by Kvaal's modified measurements (KMM) using computer-aided imaging software and digitized parameters. Forensic Sci Int Rep 2019;1:100020. DOI: 10.1016/j.fsir.2019.100020.
Gulsahi A, Kulah CK, Bakirarar B, et al. Age estimation based on pulp/tooth volume ratio measured on cone-beam CT images. Dentomaxillofac Radiol 2018;47(1):20170239. DOI: 10.1259/dmfr.20170239.
Salemi F, Farhadian M, Sabzkouhi BA, et al. Age estimation by pulp to tooth area ratio in canine teeth using cone-beam computed tomography. Egypt J Forensic Sci 2020;10(2). DOI: 10.1186/s41935-019-0176-9.