For Immediate Release
Forensic anthropology researchers at North Carolina State University have developed a technique that can provide an approximate age for juveniles and young people based on an X-ray of the frontal sinus region of the skull. The technique can be used to help identify human remains in forensic cases, as well as to determine age ranges in archaeological research or for living people for whom no records are available.
In adults, the frontal sinus is a large cavity in the skull just behind the forehead. But it doesn’t start that way – the cavity develops gradually over time.
To determine whether the development of the sinus could be used to determine age, the researchers evaluated frontal sinus X-ray images of 392 people between infancy and age 18. They found four distinct stages of development.
Until around the age of 6, the skull is in Stage 0, in which the frontal sinus cannot be detected at all. In Stage 1, two small cavities – with a gap between them – appear behind the central part of the forehead. Stage 1 generally lasts from ages 6 to 8, with a mean age of 6.5.
In Stage 2, the cavities expand, with a clear line showing where the cavities touch – but don’t merge. This stage tends to appear between the ages of 7 and 10, with a mean age of 8.
Stage 3 is a fully developed frontal sinus, characterized by the two cavities merging and expanding. This tends to occur between the ages of 12 and 18, with a mean age of 16.
“This is a proof-of-concept study demonstrating that frontal sinus X-rays offer a viable, noninvasive technique for estimating the age range of juvenile remains,” says Ann Ross, a professor of biological sciences at NC State and senior author of a paper describing the work. “This approach should be particularly valuable when working with incomplete remains.”
In addition, Ross says, the technique could be used to help estimate the age of living children and young adults for whom no records are available.
“The next step is to look at a larger sample of X-rays to further fine-tune the technique,” Ross says. “It’s useful now, but it would be even more valuable if we could improve its specificity.”
The paper, “Frontal Sinus Development and Juvenile Age Estimation,” is published in The Anatomical Record. Lead author of the paper is Kaitlin Moore, a former graduate student at NC State. Data collection that made the work possible was supported by the National Institute of Justice under grant number 2010-DN-BX-K214.
Note to Editors: The study abstract follows.
“Frontal Sinus Development and Juvenile Age Estimation”
Authors: Kaitlin Moore and Ann Ross, North Carolina State University
Published: May 19, The Anatomical Record
Abstract: Assessment of development is an important component of age estimation in juveniles. One area that has not been fully investigated as a possible aging method is the development of the frontal sinus. The frontal sinuses form when the ectocranial table of the frontal bone separates from the endocranial table forming an air pocket in the bone. The endocranial table ceases growth with the brain, while the ectocranial table is displaced anteriorly as the facial bones continue growth.
In order to examine growth and the utility of the frontal sinuses for age estimation, 392 radiographs were examined (♀=159 and ♂=233) from the Juvenile Radiograph Database at North Carolina State University and the Patricia Database from Mercyhurst University. The sample included individuals who range in age from 0 to 18 years old. Anterior view radiographs were examined and were then grouped based upon the presence or absence of the frontal sinus. Based on this, individuals were divided into four age categories.
A one-way ANOVA was performed to test whether developmental phase was related to age. Results from the ANOVA show that developmental phase is significantly related to age (p <.0001). An ordinal logistic regression was conducted to examine whether developmental phase could be used to predict age. The results of the logistic regression suggest that developmental phase is an accurate indicator of age (p <.0001, df = 1, Chi-Squared = 537.2428); however, the age ranges received can be quite wide and should be utilized alongside other established methods of age estimation. This article is protected by copyright. All rights reserved.