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Estimation of stature from cranial sutures in a South Indian male population.

Abstract
The aim of this study was to investigate the possibility of estimating height from length of coronal and sagittal sutures of the skull for the positive identification of the height in forensic investigations concerned with fragmentary skeletal remains. The study was conducted on 87 male bodies subjected to medicolegal autopsy in the Department of Forensic Medicine, Kasturba Medical College, Manipal, South India and the Department of Forensic Medicine, Kasturba Medical College, Mangalore, South India. Length of coronal suture was measured from left pterion at the junction of sphenoparietal with the sphenofrontal suture, along the coronal plane, over the coronal suture to the pterion on the right side. Length of sagittal suture was measured from bregma along the sagittal plane over the sagittal suture to the lambda. The data collected were subjected to statistical methods. Significant correlation was found between height and coronal suture length in males, when compared to sagittal suture. The correlation coefficient between height and coronal suture was 0.363. The correlation coefficient between height and sagittal suture was 0.090. Linear regression equations for stature estimation were derived from coronal suture length in male population. Coronal suture length gives more accurate results in estimating stature than sagittal suture. However, in cases where identification is required by means of only skull, this method could prove useful.
AuthorsP P Jagadish Rao, Jagadish Sowmya, K Yoganarasimha, Ritesh G Menezes, Tanuj Kanchan, R Aswinidutt
JournalInternational journal of legal medicine (Int J Legal Med) Vol. 123 Issue 3 Pg. 271-6 (May 2009) ISSN: 1437-1596 [Electronic] Germany
PMID19139914 (Publication Type: Journal Article)
Topics
  • Adult
  • Autopsy (legislation & jurisprudence)
  • Body Height (physiology)
  • Cranial Sutures (anatomy & histology)
  • Female
  • Forensic Anthropology
  • Humans
  • India
  • Linear Models
  • Male
  • Middle Aged
  • Statistics as Topic

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