Anatomical evaluation of the craniometric points and dimensions among adult’s populations of the South-Eastern Nigerians and its implication for intracranial surgical procedures
Main Article Content
Abstract
Background: The understanding of Craniometry with its associated craniometric points and dimensions have found immense applicable relevance in anthropology and neuroscience, ranging from growth determination, estimation of cranial deformities, personal biological profile identification and facial reconstructive surgeries, analysis of evolution of the human species in archeology as well as age variations.
Objective: The aim of this study was to evaluate the craniometric dimensions among adults’ subjects in Eastern Nigerian State.
Methods: Research data was collected from Computed Tomography scans in the Radiological Department of Federal Medical Centre, Umuahia, Nigeria with strict adherence to inclusive and exclusive factors. A total number of 150 human CT scans were used in the findings. Craniometric parameters were calculated - derived from the two and three coordinate points for linear and angular measurements respectively.
Results: Results revealed that age group 36-45 had the lowest cranial parameters and age group 56-65 had the highest cranial parameters.
Conclusion: It was concluded that cranial parameters does not increase as age increases throughout life. The study findings will be useful to the anatomists, anthropologists and neuroscientists.
Downloads
Article Details
Copyright (c) 2021 David LK, et al.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Kanchan T, Krishan K, Gupta A, Acharya J (2014) A Study of Cranial Variations Based on Craniometric Indices in a South Indian Population. J Craniofac Surg 25: 1645-1649. Link: https://bit.ly/3GlOKrc
Christensen AM, Crowder CM (2009) Evidentiary standards for forensic anthropology. J Forensic Sci 54: 1211-1216. Link: https://bit.ly/3GmLpZ2
Golalipour MJ, Haidari K, Jahanshahi M, Frahani MR (2006) The shapes of head and face in normal male newborns in South-East of Caspian Sea (Iran-Gorgan). Anatomy Society India 52: 28-31. Link: https://bit.ly/3EedTSM
Coon CS (1971) A fossilized human mandibular fragment from Kangatotha, Kenya, East Africa. Am J Phys Anthropol 34: 157-163. Link: https://bit.ly/3EkxsZQ
Haack DC, Meihoff EC (1971) A method for estimation of cranial capacity from cephalometric Roentgenograms. Am J Phys Anthropol 34: 447-452. Link: https://bit.ly/2ZgHVGh
Stephan CN, Simpson EK (2008) Facial soft tissue depths in craniofacial identification (part I): an analytical review of the published adult data. J Forensic Sci 53:1257-1272. Link: https://bit.ly/3nr7ay9
Stewart RF, Edgar H, Tatlock C, Kroth PJ (2008) Developing a standardized cephalometric vocabulary: choices and possible strategies. J Dent Educ 72: 989–997. Link: https://bit.ly/3jCBGnH
Tyebkahan G (2003) Declaration of Helsinki. The ethical cornerstone of human clinical research. Indian J Dermatol Venereol Leprol 69: 245-247. Link: https://bit.ly/3GnZrt5
Shah GV, Jadhav HR (2004) The study of cephalic index in students of Gujarat. Journal of Anatomy Society India 53: 25-26. Link: https://bit.ly/2ZzcTK6
Vidona WB, Oviosun A, David LK (2021) Craniometry Patterns of Nigerians and its correlation with chronological age. Journal of Phylogenetics and Evolutionary Biology 9: 212. Link: https://bit.ly/3pHzTkT
Ramamoorthy B, Pai MM, Prabhu LV, Muralimanju BV, Rai R (2016) Assessment of craniometric traits in South Indian dry skulls for sex determination. J Forensic Leg Med 37: 8-14. Link: https://bit.ly/3Eiq80w
Leaky LSB (1935) The Stone Age races of Kenya. (1st Edition). Oxford University Press, London. 150. Link: https://bit.ly/3pDJKbt
Farkas LG, Posnick JC, Hreczko TM (1992) Anthropometric growth study of the head. The Cleft Palate-Craniofacial Journal 29: 303-308. Link: https://bit.ly/3vITt1j
Hiernaux J (1968) Bantu expansion: the evidence from physical anthropology confronted with linguistic and archaeological evidence. Journal of African History 9: 505-515. Link: https://bit.ly/3CkJX6T