Anat Cell Biol
Published online July 30, 2020
Copyright © Korean Association of ANATOMISTS.
1PhD Degree Program in Anatomy, Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, 2Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, 3College of Arts Media and Technology, Chiang Mai University, Chiang Mai, 4Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, 5Forensic Osteology Research Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 6Excellence in Osteology Research and Training Center (ORTC), Chiang Mai University, Chiang Mai, Thailand
Correspondence to:Pasuk Mahakkanukrauh
Department of Anatomy, Faculty of Medicine & Research Cluster in Osteology Research and Training Center (ORTC), Chiang Mai University, Chiang Mai 50200, Thailand
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Image analysis has an increasing role in the identification of individuals in forensic application. Beside the bones, microstructural of arteries can be used in age estimation study. Aorta is the largest elastic artery which consists of many elastic fibers. Elastin in arterial wall highly resist to chemical and physical influence. The purposes of the study were to quantify elastic fibers in tunica media in each location of the aorta and examine the correlation between elastic fibers and age by using image analysis program. A total of 36 human aortas were dissected in 4 locations. The aortas were obtained from cadavers with an age range of 20 to 90 years. Specimens were stained with Elastic Van Gieson staining. Histological images were investigated about elastic fibers using light microscope with cellSens program and aorta image analysis was used for the evaluation of data. The results showed that the mean percentage density of elastic fibers in the ascending aorta and the aortic arch increased. However, the mean percentage density of elastic fibers decreased in the 31 to 40 years age group in the thoracic aorta and the abdominal aorta and decreased in each location of aorta continuously until 81 to 90 years. The abdominal aorta showed the highest correlation with age (r=0.732) followed by the thoracic aorta, the aortic arch and the ascending aorta, respectively. Changes in the percentage density of elastic fibers in the tunica media of the aortic wall can be used to add information to age estimation for identification purposes.
Keywords: Aorta, Elastic fibers, Age estimation, Image analysis, Tunica media