Age and sex estimation using fractal analysis in Brazilian adults: a discriminant analysis

Authors

DOI:

https://doi.org/10.33448/rsd-v10i15.22726

Keywords:

Forensic Dentistry; Image Processing, Computer-Assisted; Age Determination by Skeleton; Sex Determination Analysis.

Abstract

This study assessed the accuracy of fractal analysis (FA) to estimate chronological age and sex in Brazilian adults for forensic investigations. The gender-balanced sample comprised lateral cephalometric radiographs of 120 individuals, stratified according to age (20-29, 30-39, 40-49, 50-59 years) and sex (female and male). A trained calibrated examiner measured the fractal dimension (FD) of the mandibular ramus and mandibular angle. Linear regression and multiple logistic discriminant analysis were carried out to explore the accuracy of FA. For all analyses, p-values < .05 indicated statistical significance. Overall, mean FD values were 1.49±0.10 for the mandibular ramus and 1.48±0.09 for mandibular angle. Results were more accurate in males than females for discriminating age and sex. The multiple discriminant analysis indicated that FA distinguished sex in 61.7% males and 58.3% females. In addition, the mean difference between actual and predicted value was 9.5 years and 10.1 years for men and women, respectively. Fractal analysis accurately identified sex- and age-related differences in the trabecular pattern of the mandible of Brazilian adults, confirming its utility for forensic investigations. Further studies investigating other populations are needed to assess the accuracy of FA for Forensic Dentistry.

References

Andrade, A. M. da C., Gomes, J. de A., Oliveira, L. K. B. F., Santos, L. R. S., Silva, S. R. C. da, Moura, V. S. de, & Romão, D. A. (2021). Legal dentistry – the role of the Odontolegist in the identification of cadaveres: an integrating review. Research, Society and Development, 10(2 SE-), e29210212465. https://doi.org/10.33448/rsd-v10i2.12465

Angadi, P. V, Hemani, S., Prabhu, S., & Acharya, A. B. (2013). Analyses of odontometric sexual dimorphism and sex assessment accuracy on a large sample. Journal of Forensic and Legal Medicine, 20(6), 673–677. https://doi.org/10.1016/j.jflm.2013.03.040

Ata-Ali, J., & Ata-Ali, F. (2014). Forensic dentistry in human identification: A review of the literature. Journal of Clinical and Experimental Dentistry, 6(2), e162-7. https://doi.org/10.4317/jced.51387

Azevedo, A. de C. S., Alves, N. Z., Michel-Crosato, E., Rocha, M., Cameriere, R., & Biazevic, M. G. H. (2015). Dental age estimation in a Brazilian adult population using Cameriere’s method. Brazilian Oral Research, 29. https://doi.org/10.1590/1807-3107BOR-2015.vol29.0016

Barcellos, A. (1984). The fractal geometry of Mandelbrot. The Two-Year College Mathematics Journal, 15(2), 98–114.

Basavarajappa, S., Konddajji Ramachandra, V., & Kumar, S. (2021). Fractal dimension and lacunarity analysis of mandibular bone on digital panoramic radiographs of tobacco users. Journal of Dental Research, Dental Clinics, Dental Prospects, 15(2), 140–146. https://doi.org/10.34172/joddd.2021.024

Cameriere, R., Ferrante, L., & Cingolani, M. (2004). Variations in pulp/tooth area ratio as an indicator of age: a preliminary study. Journal of Forensic Sciences, 49(2), 317–319.

Chen, S.-K., Oviir, T., Lin, C.-H., Leu, L.-J., Cho, B.-H., & Hollender, L. (2005). Digital imaging analysis with mathematical morphology and fractal dimension for evaluation of periapical lesions following endodontic treatment. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics, 100(4), 467–472. https://doi.org/10.1016/j.tripleo.2005.05.075

Coşgunarslan, A., Canger, E. M., Soydan Çabuk, D., & Kış, H. C. (2020). The evaluation of the mandibular bone structure changes related to lactation with fractal analysis. Oral Radiology, 36(3), 238–247. https://doi.org/10.1007/s11282-019-00400-6

Cross, S. S. (1997). Fractals in pathology. The Journal of Pathology, 182(1), 1–8.

Cunha, E., & Wasterlain, S. (2015). Estimativa da idade por métodos dentários. In Estimativa da idade por métodos dentários. Coimbra: Imprensa da Universidade de Coimbra.

da Luz, L. C. P., Anzulović, D., Benedicto, E. N., Galić, I., Brkić, H., & Biazevic, M. G. H. (2019). Accuracy of four dental age estimation methodologies in Brazilian and Croatian children. Science & Justice, 59(4), 442–447. https://doi.org/https://doi.org/10.1016/j.scijus.2019.02.005

Divakar, K. P. (2017). Forensic Odontology: The New Dimension in Dental Analysis. International Journal of Biomedical Science : IJBS, 13(1), 1–5.

Dong, H., Deng, M., Wang, W., Zhang, J., Mu, J., & Zhu, G. (2015). Sexual dimorphism of the mandible in a contemporary Chinese Han population. Forensic Science International, 255, 9–15. https://doi.org/10.1016/j.forsciint.2015.06.010

Farahibozorg, S., Hashemi-Golpayegani, S. M., & Ashburner, J. (2015). Age- and sex-related variations in the brain white matter fractal dimension throughout adulthood: an MRI study. Clinical Neuroradiology, 25(1), 19–32. https://doi.org/10.1007/s00062-013-0273-3

Geraets, W. G., & Van der Stelt, P. F. (2000). Fractal properties of bone. Dentomaxillofacial Radiology, 29(3), 144–153.

Gioster-Ramos, M., Silva, E., Nascimento, C., Fernandes, C., & Serra, M. (2021). Técnicas de identificação humana em Odontologia Legal. Research, Society and Development, 10, e20310313200. https://doi.org/10.33448/rsd-v10i3.13200

Gustafson, G. (1950). Age determination on teeth. Journal of the American Dental Association (1939), 41(1), 45–54. https://doi.org/10.14219/jada.archive.1950.0132

Hazari, P., Hazari, R. S., Mishra, S. K., Agrawal, S., & Yadav, M. (2016). Is there enough evidence so that mandible can be used as a tool for sex dimorphism? A systematic review. Journal of Forensic Dental Sciences, 8(3), 174. https://doi.org/10.4103/0975-1475.195111

Heo, M.-S., Park, K.-S., Lee, S.-S., Choi, S.-C., Koak, J.-Y., Heo, S.-J., … Kim, J.-D. (2002). Fractal analysis of mandibular bony healing after orthognathic surgery. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics, 94(6), 763–767. https://doi.org/10.1067/moe.2002.128972

Kato, C. N., Barra, S. G., Tavares, N. P., Amaral, T. M., Brasileiro, C. B., Mesquita, R. A., & Abreu, L. G. (2019). Use of fractal analysis in dental images: a systematic review. Dento Maxillo Facial Radiology, 20180457. https://doi.org/10.1259/dmfr.20180457

Kvaal, S. I., Kolltveit, K. M., Thomsen, I. O., & Solheim, T. (1995). Age estimation of adults from dental radiographs. Forensic Science International, 74(3), 175–185. https://doi.org/10.1016/0379-0738(95)01760-g

Kwak, K. H., Kim, S. S., Kim, Y.-I., & Kim, Y.-D. (2016). Quantitative evaluation of midpalatal suture maturation via fractal analysis. Korean Journal of Orthodontics, 46(5), 323–330. https://doi.org/10.4041/kjod.2016.46.5.323

Lamendin, H., Baccino, E., Humbert, J. F., Tavernier, J. C., Nossintchouk, R. M., & Zerilli, A. (1992). A simple technique for age estimation in adult corpses: the two criteria dental method. Journal of Forensic Sciences, 37(5), 1373–1379.

Lee, D.-H., Ku, Y., Rhyu, I.-C., Hong, J.-U., Lee, C.-W., Heo, M.-S., & Huh, K.-H. (2010). A clinical study of alveolar bone quality using the fractal dimension and the implant stability quotient. Journal of Periodontal & Implant Science, 40(1), 19–24. https://doi.org/10.5051/jpis.2010.40.1.19

Lopez Capp, T. T., Paiva, L. A. S. de, Buscatti, M. Y., Michel Crosato, E., & Biazevic, M. G. H. (2021). Sex estimation of Brazilian skulls using discriminant analysis of cranial measurements. Research, Society and Development, 10(10 SE-), e266101018760. https://doi.org/10.33448/rsd-v10i10.18760

Marroquin, T. Y., Karkhanis, S., Kvaal, S. I., Vasudavan, S., Kruger, E., & Tennant, M. (2017). Age estimation in adults by dental imaging assessment systematic review. Forensic Science International, 275, 203–211. https://doi.org/10.1016/j.forsciint.2017.03.007

Ohtani, S., & Yamamoto, T. (2010). Age estimation by amino acid racemization in human teeth. Journal of Forensic Sciences, 55(6), 1630–1633. https://doi.org/10.1111/j.1556-4029.2010.01472.x

Okkesim, A., & Sezen Erhamza, T. (2020). Assessment of mandibular ramus for sex determination: Retrospective study. Journal of Oral Biology and Craniofacial Research, 10(4), 569–572. https://doi.org/10.1016/j.jobcr.2020.07.019

Otis, L. L., Hong, J. S. H., & Tuncay, O. C. (2004). Bone structure effect on root resorption. Orthodontics & Craniofacial Research, 7(3), 165–177. https://doi.org/https://doi.org/10.1111/j.1601-6343.2004.00282.x

Pârvu, A. E., Ţălu, Ş., Crăciun, C., & Alb, S. F. (2014). Evaluation of scaling and root planing effect in generalized chronic periodontitis by fractal and multifractal analysis. Journal of Periodontal Research, 49(2), 186–196. https://doi.org/10.1111/jre.12093

Prajapati, G., Sarode, S. C., Sarode, G. S., Shelke, P., Awan, K. H., & Patil, S. (2018). Role of forensic odontology in the identification of victims of major mass disasters across the world: A systematic review. PloS One, 13(6), e0199791. https://doi.org/10.1371/journal.pone.0199791

Ruttimann, U. E., Webber, R. L., & Hazelrig, J. B. (1992). Fractal dimension from radiographs of peridental alveolar bone. A possible diagnostic indicator of osteoporosis. Oral Surgery, Oral Medicine, and Oral Pathology, 74(1), 98–110.

Sairam, V., Geethamalika, M. V, Kumar, P. B., Naresh, G., & Raju, G. P. (2016). Determination of sexual dimorphism in humans by measurements of mandible on digital panoramic radiograph. Contemporary Clinical Dentistry, 7(4), 434–439. https://doi.org/10.4103/0976-237X.194110

Sanchez, I., & Uzcategui, G. (2011). Fractals in dentistry. Journal of Dentistry, 39(4), 273–292. https://doi.org/10.1016/j.jdent.2011.01.010

Silva, M. (1997). Compêndio de odontologia legal. Rio de Janeiro, RJ: MEDSI.

Soltani, P., Sami, S., Yaghini, J., Golkar, E., Riccitiello, F., & Spagnuolo, G. (2021). Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis. International Journal of Dentistry, 2021, 3221448. https://doi.org/10.1155/2021/3221448

Suazo Galdames, I. C., San Pedro Valenzuela, J., Schilling Quezada, N. A., Celis Contreras, C. E., Hidalgo Rivas, J. A., & Cantín López, M. (2008). Ortopantomographic Blind Test of Mandibular Ramus Flexure as a Morphological Indicator of Sex in Chilean Young Adults. International Journal of Morphology , vol. 26, pp. 89–92.

Tözüm, T. F., Dursun, E., & Uysal, S. (2016). Radiographic Fractal and Clinical Resonance Frequency Analyses of Posterior Mandibular Dental Implants: Their Possible Association With Mandibular Cortical Index With 12-Month Follow-up. Implant Dentistry, 25(6), 789–795. https://doi.org/10.1097/ID.0000000000000496

Uğur Aydın, Z., Toptaş, O., Göller Bulut, D., Akay, N., Kara, T., & Akbulut, N. (2019). Effects of root-end filling on the fractal dimension of the periapical bone after periapical surgery: retrospective study. Clinical Oral Investigations, 23(9), 3645–3651. https://doi.org/10.1007/s00784-019-02967-0

White, S. C., & Rudolph, D. J. (1999). Alterations of the trabecular pattern of the jaws in patients with osteoporosis. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics, 88(5), 628–635. https://doi.org/10.1016/s1079-2104(99)70097-1

Yu, Y.-Y., Chen, H., Lin, C.-H., Chen, C.-M., Oviir, T., Chen, S.-K., & Hollender, L. (2009). Fractal dimension analysis of periapical reactive bone in response to root canal treatment. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics, 107(2), 283–288. https://doi.org/10.1016/j.tripleo.2008.05.047

Downloads

Published

25/11/2021

How to Cite

MENEZES, F. dos S.; DINÍSIO, T. de M. .; OLIVEIRA, T. F. L. de; OLIVEIRA, A. M. B. de; COSTA, C. .; MICHEL-CROSATO, E. .; BIAZEVIC, M. G. H. . Age and sex estimation using fractal analysis in Brazilian adults: a discriminant analysis. Research, Society and Development, [S. l.], v. 10, n. 15, p. e240101522726, 2021. DOI: 10.33448/rsd-v10i15.22726. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/22726. Acesso em: 23 nov. 2024.

Issue

Section

Health Sciences