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Forensic age estimation in adults by pubic bone mineral density using multidetector computed tomography

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Abstract

Radiology plays a crucial role in forensic anthropology for age estimation. However, most studies rely on morphological methods. This study aims to investigate the feasibility of using pubic bone mineral density (BMD) as a new age estimation method in the Chinese population. 468 pubic bone CT scans from living individuals in a Chinese hospital aged 18 to 87 years old were used to measure pubic BMD. The BMD of the bilateral pubic bone was measured using the Mimics software on cross-sectional CT images and the mean BMD of the bilateral pubic bone was also calculated. Regression analysis was performed to assess the correlation between pubic BMD and chronological age and to develop mathematical models for age estimation. We evaluated the accuracy of the best regression model using an independent validation sample by calculating the mean absolute error (MAE). Among all established models, the cubic regression model had the highest R2 value in both genders, with R2 = 0.550 for males and R2 = 0.634 for females. The results of the best model test showed that the MAE for predicting age using pubic BMD was 8.66 years in males and 7.69 years in females. This study highlights the potential of pubic BMD as a useful objective indicator for adult age estimation and could be used as an alternative in forensic practice when other better indicators are lacking.

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Data Availability

The data presented in this study are available on reasonable request from the corresponding author.

References

  1. Rissech C, Wilson J, Winburn AP, Turbón D, Steadman D (2012) A comparison of three established age estimation methods on an adult Spanish sample. Int J Legal Med 126:145–155. https://doi.org/10.1007/s00414-011-0586-1

    Article  PubMed  Google Scholar 

  2. Savall F, Rérolle C, Hérin F et al (2016) Reliability of the Suchey-Brooks method for a French contemporary population. Forensic Sci Int 266:586.e1-586.e5. https://doi.org/10.1016/j.forsciint.2016.04.030

    Article  PubMed  Google Scholar 

  3. Todd TW (1921) Age changes in the pubic bone. Am J Phys Anthropol 4:1–70. https://doi.org/10.1002/ajpa.1330040102

    Article  Google Scholar 

  4. McKern TW, Stewart TD (1957) Skeletal age changes in young American males analysed from the standpoint of age identification. Am Antiq 24:198–199. https://doi.org/10.2307/277495

    Article  Google Scholar 

  5. Gilbert BM (1973) Misapplication to females of the standard for aging the male Os pubis. Am J Phys Anthropol 38:39–40. https://doi.org/10.1002/ajpa.1330380110

    Article  CAS  PubMed  Google Scholar 

  6. Brooks S, Suchey JM (1990) Skeletal age determination based on the os pubis: A comparison of the Acsádi-Nemeskéri and Suchey-Brooks methods. Hum Evol 5:227–238. https://doi.org/10.1007/BF02437238

    Article  Google Scholar 

  7. Chiba F, Makino Y, Motomura A et al (2014) Age estimation by quantitative features of pubic symphysis using multidetector computed tomography. Int J Legal Med 128:667–673. https://doi.org/10.1007/s00414-014-1010-4

    Article  PubMed  Google Scholar 

  8. López-Alcaraz M, González PM, Aguilera IA, López MB (2015) Image analysis of pubic bone for age estimation in a computed tomography sample. Int J Legal Med 129:335–346. https://doi.org/10.1007/s00414-014-1034-9

    Article  PubMed  Google Scholar 

  9. Bascou A, Dubourg O, Telmon N et al (2021) Age estimation based on computed tomography exploration: a combined method. Int J Legal Med 135:2447–2455. https://doi.org/10.1007/s00414-021-02666-0

    Article  PubMed  Google Scholar 

  10. Dubourg O, Faruch-Bilfeld M, Telmon N et al (2020) Technical note: age estimation by using pubic bone densitometry according to a twofold mode of CT measurement. Int J Legal Med 134:2275–2281. https://doi.org/10.1007/s00414-020-02349-2

    Article  PubMed  Google Scholar 

  11. Dubourg O, Faruch-Bilfeld M, Telmon N et al (2019) Correlation between pubic bone mineral density and age from a computed tomography sample. Forensic Sci Int 298:345–350. https://doi.org/10.1016/j.forsciint.2019.03.018

    Article  PubMed  Google Scholar 

  12. Buckberry JL, Chamberlain AT (2002) Age estimation from the auricular surface of the ilium: a revised method. Am J Phys Anthropol 119:231–239. https://doi.org/10.1002/ajpa.10130

    Article  CAS  PubMed  Google Scholar 

  13. Bellver M, Del Rio L, Jovell E et al (2019) Bone mineral density and bone mineral content among female elite athletes. Bone 127:393–400. https://doi.org/10.1016/j.bone.2019.06.030

    Article  CAS  PubMed  Google Scholar 

  14. Seeman E (2002) An exercise in geometry. J Bone Miner Res 17:373–380. https://doi.org/10.1359/jbmr.2002.17.3.373

    Article  PubMed  Google Scholar 

  15. Genisa M, Shuib S, Rajion ZA et al (2018) Density estimation based on the Hounsfield unit value of cone beam computed tomography imaging of the jawbone system. Proc Inst Mech Eng H 11:954411918806333. https://doi.org/10.1177/0954411918806333

    Article  Google Scholar 

  16. Schreiber JJ, Anderson PA, Hsu WK (2014) Use of computed tomography for assessing bone mineral density. Neurosurg Focus 37:E4. https://doi.org/10.3171/2014.5.FOCUS1483

    Article  PubMed  Google Scholar 

  17. Toutin R, Bilfeld MF, Raspaud C et al (2022) Contribution of the use of clavicle bone density in age estimation. Int J Legal Med 136:1017–1025. https://doi.org/10.1007/s00414-021-02741-6

    Article  PubMed  Google Scholar 

  18. Hisham S, Abdullah N, Mohamad Noor MH et al (2019) Quantification of pubic symphysis metamorphosis based on the analysis of clinical MDCT scans in a contemporary Malaysian population. J Forensic Sci 64:1803–1811. https://doi.org/10.1111/1556-4029.14125

    Article  PubMed  Google Scholar 

  19. Wink AE (2014) Pubic symphyseal age estimation from three-dimensional reconstructions of pelvic CT scans of live individuals. J Forensic Sci 59:696–702. https://doi.org/10.1111/1556-4029.12369

    Article  PubMed  Google Scholar 

  20. Pattamapaspong N, Kanthawang T, Singsuwan P et al (2019) Efficacy of three-dimensional cinematic rendering computed tomography images in visualizing features related to age estimation in pelvic bones. Forensic Sci Int 294:48–56. https://doi.org/10.1016/j.forsciint.2018.10.003

    Article  PubMed  Google Scholar 

  21. Castillo RF, Ruiz Mdel C (2011) Assessment of age and sex by means of DXA bone densitometry: application in forensic anthropology. Forensic Sci Int 209:53–58. https://doi.org/10.1016/j.forsciint.2010.12.008

    Article  PubMed  Google Scholar 

  22. Ford JM, Kumm TR, Decker SJ (2020) An analysis of Hounsfield unit values and volumetrics from computerized tomography of the proximal femur for sex and age estimation. J Forensic Sci 65:591–596. https://doi.org/10.1111/1556-4029.14216

    Article  CAS  PubMed  Google Scholar 

  23. Ganjaei KG, Soler ZM, Mappus ED et al (2018) Novel radiographic assessment of the cribriform plate. Am J Rhinol Allergy 32:175–180. https://doi.org/10.1177/1945892418768159

    Article  PubMed  PubMed Central  Google Scholar 

  24. Curate F, Albuquerque A, Cunha EM (2013) Age at death estimation using bone densitometry: testing the Fernández Castillo and López Ruiz method in two documented skeletal samples from Portugal. Forensic Sci Int 226:296.e1–6. https://doi.org/10.1016/j.forsciint.2012.12.002

    Article  PubMed  Google Scholar 

  25. Kotěrová A, Navega D, Štepanovský M et al (2018) Age estimation of adult human remains from hip bones using advanced methods. Forensic Sci Int 287:163–175. https://doi.org/10.1016/j.forsciint.2018.03.047

    Article  PubMed  Google Scholar 

  26. Shi L, Zhou Y, Lu T et al (2022) Dental age estimation of Tibetan children and adolescents: Comparison of Demirjian, Willems methods and a newly modified Demirjian method. Leg Med (Tokyo) 55:102013. https://doi.org/10.1016/j.legalmed.2022.102013

    Article  PubMed  Google Scholar 

  27. Van Vlierberghe M, Bołtacz-Rzepkowska E, Van Langenhove L et al (2010) A comparative study of two different regression methods for radiographs in Polish youngsters estimating chronological age on third molars. Forensic Sci Int 201:86–94. https://doi.org/10.1016/j.forsciint.2010.04.019

    Article  PubMed  Google Scholar 

  28. Darmawan MF, Yusuf SM, Abdul Kadir MR, Haron H (2015) Age estimation based on bone length using 12 regression models of left hand X-ray images for Asian children below 19 years old. Leg Med (Tokyo) 17:71–78. https://doi.org/10.1016/j.legalmed.2014.09.006

    Article  CAS  PubMed  Google Scholar 

  29. Saric R, Kevric J, Hadziabdic N et al (2022) Dental age assessment based on CBCT images using machine learning algorithms. Forensic Sci Int 334:111245. https://doi.org/10.1016/j.forsciint.2022.111245

    Article  PubMed  Google Scholar 

  30. Štern D, Payer C, Urschler M (2019) Automated age estimation from MRI volumes of the hand. Med Image Anal 58:101538. https://doi.org/10.1016/j.media.2019.101538

    Article  PubMed  Google Scholar 

  31. Zhan MJ, Chen XG, Shi L et al (2021) Age estimation in Western Chinese adults by pulp–tooth volume ratios using cone-beam computed tomography. Aust J Forensic Sci 53:681–692. https://doi.org/10.1080/00450618.2020.1729415

    Article  Google Scholar 

  32. Zhang K, Dong XA, Fan F, Deng ZH (2016) Age estimation based on pelvic ossification using regression models from conventional radiography. Int J Legal Med 130:1143–1148. https://doi.org/10.1007/s00414-016-1383-7

    Article  PubMed  Google Scholar 

  33. Egger C, Vaucher P, Doenz F et al (2012) Development and validation of a postmortem radiological alteration index: the RA-Index. Int J Legal Med 4:559–66. https://doi.org/10.1007/s00414-012-0686-6

    Article  Google Scholar 

  34. Willey P, Galloway A, Snyder L (1997) Bone mineral density and survival of elements and element portions in the bones of the Crow Creek massacre victims. Am J Phys Anthropol 104(4):513–528. https://doi.org/10.1002/(SICI)1096-8644(199712)104:4%3c513::AID-AJPA6%3e3.0.CO;2-S

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This study was funded by the National Natural Science Foundation of China (No. 81971801), the Open Fund Project of Shanghai Key Lab of Forensic Medicine and Key Lab of Forensic Science (No. KF202209), and the Fundamental Research Funds for the Central Universities (No. 2023SCU12037).

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Correspondence to Zhen-hua Deng or Meng‑jun Zhan.

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Luo, S., Fan, F., Zhang, X. et al. Forensic age estimation in adults by pubic bone mineral density using multidetector computed tomography. Int J Legal Med 137, 1527–1533 (2023). https://doi.org/10.1007/s00414-023-03067-1

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