Correlation between human chronological age and dentin volume of maxillary canine
Abstract
ABSTRACT
Introduction: One of the identification methods in forensic odontology is to estimate age through tooth characteristics. With age, odontoblast cells that line the pulp cavity will continue the process of secondary dentin deposition at a lower rate. Generally, maxillary canines are teeth that can survive in the oral cavity until old age and are less likely to wear out. This study aimed to determine the correlation between human chronological age and the dentin volume of the maxillary canines using CBCT radiographs. Methods: An analytic study of the Pearson correlation test was conducted on 114 samples of CBCT radiographs of the maxillary canines from the Radiology Unit of the Rumah Sakit Gigi dan Mulut, Faculty of Dentistry, Universitas Padjadjaran. The inclusion criteria for this study were canines with closed apex, no caries, no attrition, no restorations, no orthodontic treatment, and generally good health. Maxillary canine dentin volume was measured using the application ITK-SNAP version 3.8.0. The results of dentin volume were analyzed using the Pearson correlation test using SPSS IBM Statistics 25. Results: Pearson correlation analysis showed the correlation coefficient value (r= 0.270 and (r = 0.427) for the male and female samples, respectively. Conclusion: The correlation between chronological age and maxillary canine dentin volume in this study was not strong enough to be used as a single parameter in the age estimation method. Future research is expected to expand the sample size with a homogenous age distribution to obtain more consistent and accurate results.
Keywords: age estimation; dentin volume; maxillary canines; ITK-SNAP; CBCT.
Keywords
Full Text:
PDFReferences
REFERENCES
Senn DR, Stimson PG. Forensic dentistry, Second Edition. 2nd Ed. Forensic Dentistry. 2010. 1–455 p.
Taylor JA, Kieser JA. Forensic Odontology: Principles and Practice. Wiley Blackwell. Oxford; 2016. 209 p. DOI: 10.1002/9781118864418
Kurniawan A, Chusida A, Atika N, Gianosa TK, Solikhin MD, Margaretha MS, Utomo H, Marini MI, Rizky BN, Prakoeswa BFWR, Alias A, Marya A. The applicable dental age estimation methods for children and adolescents in indonesia. Int J Dent. 2022; 2022: 6761476. DOI: 10.1155/2022/6761476.
Lewis J, Senn D. Manual of forensic odontology. Fifth edit. Manual of forensic odontology, 5th Ed. 2013. 211–256 p.
Franklin D, Flavel A, Noble J, Swift L, Karkhanis S. Forensic age estimation in living individuals: methodological considerations in the context of medico-legal practice. Research and Reports in Forensic Med Sci. 2015; 5: 53-66. DOI: 10.2147/RRFMS.S75140
Pengadilan Negeri GS. Putusan Perkara Yusman Telaumbanua. 96 PK/Pid/2016 Republik Indonesia; 2016 p. 1–47.
Panchbhai AS. Dental radiographic indicators, a key to age estimation. Dentomaxillofac Radiol. 2011; 40(4): 199-212. DOI: 10.1259/dmfr/19478385.
Limdiwala PG, Shah JS. Age estimation by using dental radiographs. J Forensic Dent Sci. 2013l; 5(2): 118-22. DOI: 10.4103/0975-1475.119778.
Frommer HH, Stabulas-Savage JJ. Radiology for the Dental Professional. 9th Ed. Vol. 30. Elsevier; 2011. 112–116 p.
Scheid RC, Weiss G. Woelfel’s Dental Anatomy. 8th Ed. Lippincott Williams & Wilkins; 2012. 67–71 p.
Cobourne M. Oral anatomy, histology, and embryology. Europ J Orth. 2018; 40: 673–4.
Andrade VM, Fontenele RC, de Souza AC, Almeida CA, Vieira AC, Groppo FC, Freitas DQ, Junior ED. Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample. Dentomaxillofac Radiol. 2019; 48(7): 20190053. DOI: 10.1259/dmfr.20190053.
Gulsahi A, Kulah CK, Bakirarar B, Gulen O, Kamburoglu K. 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.
Hidayat SR, Oscandar F, Malinda Y, Sasmita IS, Dardjan M, Murniati N, et al. Human age estimation based on pulp volume of canines for chronological age estimation: Preliminary research. Padj J Dent. 2018; 30(3): 184. DOI: 10.24198/pjd.vol30no3.19302
Arora J, Talwar I, Sahni D, Rattan V. Secondary dentine as a sole parameter for age estimation: Comparison and reliability of qualitative and quantitative methods among North Western adult Indians. Egypt J Forensic Sci. 2016; 6(2): 170–8. DOI: 10.1016/j.ejfs.2016.05.006
Pinchi V, Pradella F, Buti J, Baldinotti C, Focardi M, Norelli GA. 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: 150-7. DOI: 10.1016/j.jflm.2015.09.015.
Rai Balwant and Jasdeep Kaur. Evidence-Based Forensic Dentistry. Springer Berlin Heidelberg : Imprint : Springer 2013. Insert-missing-database-name. DOI: 10.1007/978-3-642-28994-1
Verma M, Verma N, Sharma R, Sharma A. Dental age estimation methods in adult dentitions: An overview. J Forensic Dent Sci. 2019; 11(2): 57-63. DOI: 10.4103/jfo.jfds_64_19.
Carvalho TS, Lussi A. Age-related morphological, histological and functional changes in teeth. J Oral Rehabil. 2017; 44(4):291-298. DOI: 10.1111/joor.12474.
Gupta P, Kaur H, Shankari G S M, Jawanda MK, Sahi N. Human age estimation from tooth cementum and dentin. J Clin Diagn Res. 2014; 8(4): ZC07-10. DOI: 10.7860/JCDR/2014/7275.4221.
Biuki N, Razi T, Faramarzi M. Relationship between pulp-tooth volume ratios and chronological age in different anterior teeth on CBCT. J Clin Exp Dent. 2017; 9(5): e688-e693. DOI: 10.4317/jced.53654.
Ge ZP, Yang P, Li G, Zhang JZ, Ma XC. Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images. Int J Legal Med. 2016; 130(4): 1159-1167. DOI: 10.1007/s00414-016-1384-6.
García-Campos C, Modesto-Mata M, Martinón-Torres M, Martínez de Pinillos M, Martín-Francés L, Arsuaga JL, Bermúdez de Castro JM. Sexual dimorphism of the enamel and dentine dimensions of the permanent canines of the Middle Pleistocene hominins from Sima de los Huesos (Burgos, Spain). J Hum Evol. 2020; 144:102793. DOI: 10.1016/j.jhevol.2020.102793.
Monalisa W, Kokila G, Sharma H, Gopinathan P, Singh O, Kumaraswamy S. Sexual dimorphism of enamel area, coronal dentin area, bicervical diameter and dentinoenamel junction scallop area in longitudinal ground section. J Oral Maxillofac Pathol. 2018; 22(3): 423. DOI: 10.4103/jomfp.JOMFP_182_18.
Lähdesmäki RE, Alvesalo LJ. Root length in the permanent teeth of women with an additional X chromosome (47,XXX females). Acta Odontol Scand. 2010 Jul 23;68(4):223–7.
Xu T, Yan M, Wang Y, Wang Z, Xie L, Tang C, et al. Estrogen deficiency reduces the dentinogenic capacity of rat lower incisors. J Mol Histol. 2014;45(1):11–9.
Küchler EC, de Lara RM, Omori MA, Schröder A, Teodoro VB, Baratto-Filho F, et al. Estrogen deficiency affects tooth formation and gene expression in the odontogenic region of female rats. Ann Anat - Anat Anzeiger. 2021 Jul 1;236:151702.
Son Y-B, Kang Y-H, Lee H-J, Jang S-J, Bharti D, Lee S-L, et al. Evaluation of odonto/osteogenic differentiation potential from different regions derived dental tissue stem cells and effect of 17β-estradiol on efficiency. BMC Oral Health. 2021 Dec 7;21(1):15.
Woo SM, Seong KJ, Oh SJ, Park HJ, Kim SH, Kim WJ, et al. 17β-Estradiol induces odontoblastic differentiation via activation of the c-Src/MAPK pathway in human dental pulp cells. Biochem Cell Biol. 2015 Dec;93(6):587–95.
Nudel I, Pokhojaev A, Bitterman Y, Shpack N, Fiorenza L, Benazzi S, et al. Secondary Dentin Formation Mechanism: The Effect of Attrition. Int J Environ Res Public Health. 2021 Sep 22;18(19):9961.
Li M, Zhao J, Chen W, Chen X, Chu G, Chen T, Guo Y. Can canines alone be used for age estimation in Chinese individuals when applying the Kvaal method? Forensic Sci Res. 2020; 7(2): 132-7. DOI: 10.1080/20961790.2020.1717029.
Erbudak H özge, Özbek M, Uysal S, Karabulut E. Application of Kvaal et al.’s age estimation method to panoramic radiographs from Turkish individuals. Forensic Sci Int. 2012; 219(1–3): 141–6.
Kazmi S, Mânica S, Revie G, Shepherd S, Hector M. Age estimation using canine pulp volumes in adults: a CBCT image analysis. Int J Legal Med. 2019; 133(6): 1967–76.
Asif MK, Nambiar P, Mani SA, Ibrahim NB, Khan IM, Lokman NB. Dental age estimation in Malaysian adults based on volumetric analysis of pulp/tooth ratio using CBCT data. Leg Med. 2019; 36(October 2018): 50–8. DOI: 10.3109/00016357.2010.490954
Dehghani M, Shadkam E, Ahrari F, Dehghani M. Age estimation by canines’ pulp/tooth ratio in an Iranian population using digital panoramic radiography. Forensic Sci Int. 2018; 285: 44–9. DOI: 10.1016/j.forsciint.2018.01.016.
Venkatesh S, Ajmera S, Ganeshkar SV. Volumetric pulp changes after orthodontic treatment determined by cone-beam computed tomography. J Endod. 2014; 40(11): 1758-63. DOI: 10.1016/j.joen.2014.07.029.
Nath R, Daneshmand A, Sizemore D, Guo J, Enciso R. Efficacy of corticosteroids for postoperative endodontic pain: A systematic review and meta-analysis. J Dent Anesth Pain Med. 2018; 18(4): 205-21. DOI: 10.17245/jdapm.2018.18.4.205.
Santosh R, Meena N, Ashwini P, Kaiwar A, Shetty A, Naveen D. Effect of Long-term Corticosteroids on Dental Pulp. World J Dent. 2010; 1(1): 17–20. DOI: 10.5005/jp-journals-10015-1004
Weissheimer A, Menezes LME De, Sameshima GT, Enciso R, Pham J, Grauer D. Imaging software accuracy for 3-dimensional analysis of the upper airway. Am J Orthod Dentofac Orthop. 2012; 142(6): 801–13. DOI: 10.1016/j.ajodo.2012.07.015.
Farias Gomes A, Danieli ·, Brasil M, Ilídio A, Silva V, Deborah et al. Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure. Oral Radiol. 2020; 36: 183–9. DOI: 10.1007/s11282-019-00397-y.
DOI: https://doi.org/10.24198/pjd.vol34no3.43211
Refbacks
- There are currently no refbacks.
Visitor Stat
Padjadjaran Journal of Dentistry is licensed under Creative Commons Attribution 4.0 International License