Age Estimation Through Radiographs
DOI:
https://doi.org/10.55524/Keywords:
Age Estimation, Forensic Anthropologists, Forensic, Radiographic MethodsAbstract
The skeleton is an important part of the human body. It provides a definite shape and definesthe stature of the human body along with it also plays an important role in forensic science. It aids forensic anthropologists in determining the age, sex and post mortem interval of the deceased person, if only the skeletal remains are found. This article reviews the techniques used for age estimation from different bones of human body. Forensic anthropologyis study of human skeletal remains
to help determine the identity of the missing persons andto estimate time since death and age. There are various bones which help to determine the age range of the deceased like skull, clavicle and the pelvisregion. Radiographic methods arehelpful in examining these bones. There are around 300 bones present in a new born and as a person grows these bones start to fuse. At the age of 40 years all the bones fuse to make atotal of 206 bones. Bones start to ossify as the person ages and hence by studying the ossification of bones we can determine an age range for a person.
Downloads
References
S. Madhu, “Age estimation through finger radiographs,” Medico-Legal Updat., 2006.
I. S. Sasmita, L. Epsilawati, and F. U. A. Rahman, “Deksripsi kesesuaian usia kronologis dan usia dentalis melalui estimasi pertumbuhan ujung akar gigi premolar,” J. Radiol. Dentomaksilofasial Indones., 2020, doi: 10.32793/jrdi.v4i1.476.
N. Haj Salem et al., “Age estimation at death by the study of chest plate radiographs: establishing a Tunisian male score,” Int. J. Legal Med., 2019, doi: 10.1007/s00414-019- 02101-5.
R. Alves da Silva, “Dental Age Estimation Methods in Forensic Dentistry: Literature Review,” Forensic Sci. Today, 2016, doi: 10.17352/pjfst.000005.
L. Hackman, C. M. Davies, and S. Black, “Age Estimation Using Foot Radiographs from a Modern Scottish Population,” J. Forensic Sci., 2013, doi: 10.1111/1556- 4029.12004.
T. Y. Marroquin et al., “Determining the effectiveness of adult measures of standardised age estimation on juveniles in a Western Australian population,” Aust. J. Forensic Sci., 2017, doi: 10.1080/00450618.2016.1177593.
F. Aguilera-Muñoz, A. Garay-Barrientos, I. Moreno Lazcano, P. Navarro-Cáceres, and G. M. Fonseca, “Estimación de Edad Mediante la Relación Área Pulpa/Diente en Caninos Mandibulares: Estudio en una Muestra Chilena Utilizando el Método de Cameriere,” Int. J. Morphol., 2020, doi: 10.4067/s0717- 95022020000200322.
F. Aguilera-Muñoz, A. Garay-Barrientos, I. Moreno Lazcano, P. Navarro-Cáceres, and G. M. Fonseca, “Dental age estimation by pulp/tooth ratio in mandibular canines: Study in a chilean sample by camerierer’s method,” Int. J. Morphol., 2020, doi: 10.4067/S0717- 95022020000200322.
A. de C. S. Azevedo, E. Michel-Crosato, and M. G. H. Biazevic, “Radiographic evaluation of dental and cervical vertebral development for age estimation in a young
Brazilian population,” J. Forensic Odontostomatol., 2018. [10] S. Bhadana, K. R. Indushekar, B. G. Saraf, D. Sardana, and N. Sheoran, “Comparative assessment of chronological, dental, and skeletal age in children,” Indian J. Dent. Res., 2019, doi: 10.4103/ijdr.IJDR_698_17.
I. Pan, H. H. Thodberg, S. S. Halabi, J. Kalpathy-Cramer, and D. B. Larson, “Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge,” Radiol. Artif. Intell., 2019, doi: 10.1148/ryai.2019190053.
N. A. Perlaza, “Sex determination from the frontal bone: A geometric morphometric study,” J. Forensic Sci., 2014, doi: 10.1111/1556-4029.12467.
P. Kanchan-Talreja, A. B. Acharya, and V. G. Naikmasur, “An assessment of the versatility of Kvaal’s method of adult dental age estimation in Indians,” Arch. Oral Biol., 2012, doi: 10.1016/j.archoralbio.2011.08.020.
O. S. Kim et al., “Digital panoramic radiographs are useful for diagnosis of osteoporosis in Korean postmenopausal women,” Gerodontology, 2016, doi: 10.1111/ger.12134.
J. Y. Jeon, C. S. Kim, J. S. Kim, and S. H. Choi, “Correlation and correspondence between skeletal maturation indicators in hand-wrist and cervical vertebra analyses and skeletal maturity score in korean adolescents,” Children, 2021, doi: 10.3390/children8100910.
Downloads
Published
Issue
Section
How to Cite
