Kolumna Vertebral sebagai Parameter Estimasi Usia dan Determinasi Jenis Kelamin

Authors

  • Roben S. Pasaribu Universitas Indonesia
  • Ria Puspitawati Universitas Indonesia
  • Ayu Rahmadhani Universitas Indonesia

DOI:

https://doi.org/10.35790/msj.v5i2.49892

Abstract

Abstract: Age estimation and sex determination using bone parameters have high accuracy. Vertebral column is a group of five types of bones; each type has specific characteristics, shape, and properties. The unique and specific characteristics of each type of vertebra differ between sexes and change with age. This phenomenon makes the vertebral column as a potential parameter for age estimation and sex determination. This was a literature review study aimed to discuss about using vertebral column as the parameter of age estimation and sex determination. The results showed that age estimation using vertebral column parameters by observing osteophyte formation had a correlation of r=0.7 and p<0.01. Maturation of the vertebral column and age showed a correlation of r=0.695 and p<0.001. Age estimation by observing the vertebral column maturation in the age group 15-22 years showed 95% accuracy. Sex determination using vertebral column parameters showed high accuracy, reaching 93% in the lumbar vertebrae and 86-89.7% in the cervical vertebrae. In conclusion, vertebral column has great potential in the forensic investigation since it can be used as a parameter for age estimation and sex determination.

Keywords: vertebral column; age; sex; bone maturation; osteophyte; forensic identification

 

Abstrak: Estimasi usia dan determinasi jenis kelamin dengan menggunakan parameter tulang memiliki akurasi yang baik. Kolumna vertebral tersusun dari lima kelompok jenis tulang yang memiliki ciri, bentuk, dan karakteristik yang spesifik. Karakteristik unik dan spesifik dari masing-masing jenis tulang vertebra dapat menunjukkan perbedaan antar jenis kelamin dan perubahan seiring bertambahnya usia. Fenomena demikian menjadikan kolumna vertebral berpotensi sebagai parameter dalam estimasi usia dan determinasi jenis kelamin. Studi ini merupakan suatu literature review yang bertujuan untuk mengetahui penggunaan  kolumna vertebral sebagai parameter estimasi usia dan determinasi jenis kelamin. Hasil studi mendapatkan estimasi usia menggunakan parameter kolumna vertebral dengan melihat pembentukan osteofit menunjukkan korelasi r=0,7 dan signifikansi p<0,01. Maturasi kolumna vertebral dan usia menunjukkan korelasi r=0,695 dan p<0,001. Estimasi usia dengan melihat maturasi kolumna vertebral pada rentang usia 15-22 tahun memberikan akurasi mencapai 95%. Determinasi jenis kelamin menggunakan parameter kolumna vertebral menunjukkan akurasi tinggi mencapai 93% pada kolumna vetebral bagian lumbar dan 86-89,7% pada bagian servikal. Simpulan studi ini ialah kolumna vertebral merupakan salah satu jenis tulang yang memiliki potensi besar dalam dunia forensik untuk dijadikan sebagai parameter estimasi usia dan determinasi jenis kelamin.

Kata kunci: kolumna vertebral; usia; jenis kelamin; maturasi tulang; osteofit; identifikasi forensik

Author Biographies

Roben S. Pasaribu, Universitas Indonesia

Divisi Odontologi Forensik Departemen Biologi Oral Fakultas Kedokteran Gigi Universitas Indonesia, Jakarta, Indonesia

Ria Puspitawati, Universitas Indonesia

Divisi Odontologi Forensik Departemen Biologi Oral Fakultas Kedokteran Gigi Universitas Indonesia, Jakarta, Indonesia

Ayu Rahmadhani, Universitas Indonesia

Divisi Odontologi Forensik Departemen Biologi Oral Fakultas Kedokteran Gigi Universitas Indonesia, Jakarta, Indonesia

References

Burns KR. Forensic Anthropology Training Manual (3rd ed). Taylor & Francis; 2012.

Praneatpolgrang S, Das S, Navic P, Mahakkanukrauh P. Age-related changes in the vertebral osteophytes:a review. Int Med J. 2020;27(2):181-4.

Wong SHJ, Yuen CK, Hoi YC. Review article: osteophytes. Journal of Orthopaedic Surgery. 2016; 24(3):403–10.

Van der Merwe AE, Işcan MY, L’Abbè EN. The pattern of vertebral osteophyte development in a South African population. Int J Osteoarchaeol. 2006;16(5):459–64.

Watanabe S, Terazawa K. Age estimation from the degree of osteophyte formation of vertebral columns in Japanese. Leg Med. 2006;8(3):156–60.

Chanapa P, Mahakkanukrauh P. Location and lengths of osteophytes in the cervical vertebrae. Rev Arg de Anat Clin. 2011;3(1):15-21.

Listi GA, Manhein MH. The use of vertebral osteoarthritis and osteophytosis in age estimation. J Forensic Sci. 2012 ;57(6):1537–40.

Chanapa P, Yoshiyuki T, Mahakkanukrauh P. Distribution and length of osteophytes in the lumbar vertebrae and risk of rupture of abdominal aortic aneurysms: a study of dry bones from Chiang Mai, Thailand. Anat Cell Biol. 2014;47(3):157–61.

Wescott DJ. Sex variation in the second cervical vertebra. J Forensic Sci. 2001;45(2):14707J.

Marlow EJ, Pastor RF. Sex determination using the second cervical vertebra-a test of the method. J Forensic Sci. 2011;56(1):165–9.

Belavý DL, Bansmann PM, Böhme G, Frings-Meuthen P, Heer M, Rittweger J, et al. Changes in intervertebral disc morphology persist 5 mo after 21-day bed rest. J Appl Physiol. 2011;111(5): 1304–14. Available from: www.random.org. Doi: 10.1152/japplphysiol. 00695.2011.

Yenukoti R. Clinical anatomy of vertebral column. [Internet]. 2015. Available from: https://www. researchgate.net/publication/328163417

Utama V, Soedarsono N, Yuniastuti M. Assessment of agreement between cervical vertebrae skeletal and dental age estimation with chronological age in an Indonesian population. Journal of Forensic Odonto-Stomatology. 2020;38(3):16–24.

Praneatpolgrang S, Prasitwattanaseree S, Mahakkanukrauh P. Age estimation equations using vertebral osteophyte formation in a Thai population: comparison and modified osteophyte scoring method. Anat Cell Biol. 2019;52(2):149–60.

Van der Kraan PM, van den Berg WB. Osteophytes: relevance and biology. Osteoarthritis and Cartilage. 2007;15(3):237–44.

Magat G, Ozcan S. Assessment of maturation stages and the accuracy of age estimation methods in a Turkish population: a comparative study. Imaging Sci Dent. 2022;5291):83-91.

Schoretsaniti L, Mitsea A, Karayianni K, Sifakakis I. Cervical vertebral maturation method: reproducibility and efficiency of chronological age estimation. Applied Sci (Switzerland). 2021; 11(7):3160.

Kim DK, Kim MJ, Kim YS, Oh CS, Shin DH. Vertebral osteophyte of pre-modern Korean skeletons from Joseon tombs. Anat Cell Biol. 2012;45(4):274-81.

Gocmen-Mas N, Karabekir H, Ertekin T. Evaluation of lumbar vertebral body and disc: a stereological morphometric. Int J Morphol. 2010;28(3):841-7.

Skórzewska A, Grzymislawska M, Bruska M, Lupicka J, Woźniak W. Ossification of the vertebral column in human foetuses: Histological and computed tomography studies. Folia Morphologica (Poland). 2013;72(3):230–8.

Cole TJ, Rousham EK, Hawley NL, Cameron N, Norris SA, Pettifor JM. Ethnic and sex differences in skeletal maturation among the Birth to Twenty cohort in South Africa. Arch Dis Child. 2015; 100(2):138–43.

Uys A, Bernitz H, Pretorius S, Steyn M. Age estimation from anterior cervical vertebral ring apophysis ossification in South Africans. Int J Legal Med. 2019;133(6):1935–48.

Costa L, de Reuver S, Kan L, Seevinck P, Kruyt MC, Schlosser TPC, et al. Ossification and fusion of the vertebral ring apophysis as an important part of spinal maturation. J Clin Med. 2021;10(15):3217.

Mito T, Sato K, Mitani H. Cervical vertebral bone age in girls. American Journal of Orthodontics and Dentofacial Orthopedics. 2002;122(4):380–5.

Chalkoo DrAH, Illahi DrB. Cervical vertebral bone age estimation and its correlation to chronological age. Int J Applied Dental Sci. 2022;8(4):113–6.

Patil V, Vineetha R, Vatsa S, Shetty DK, Raju A, Naik N, et al. Artificial neural network for gender determination using mandibular morphometric parameters: a comparative retrospective study. Cogent Eng. 2020;7(1):1723783.

Downloads

Published

2023-09-10

How to Cite

Pasaribu, R. S., Puspitawati, R., & Rahmadhani, A. (2023). Kolumna Vertebral sebagai Parameter Estimasi Usia dan Determinasi Jenis Kelamin. Medical Scope Journal, 5(2), 294–304. https://doi.org/10.35790/msj.v5i2.49892