Sains Malaysiana 50(2)(2021): 419-428

http://dx.doi.org/10.17576/jsm-2021-5002-13

 

Age Estimation using Aorta Image Analysis in the Thai Population

(Penganggaran Usia menggunakan Analisis Imej Aorta dalam Populasi Thai)

 

PORNHATAI KOMUTRATTANANONT1, TREERAT GUMPANGSETH1, PARISON PALEE2, SUKON PRASITWATTANASEREE3, NORZANA ABD GHAFAR4, CHATURONG KANCHAI5 & PASUK MAHAKKANUKRAUH6,7,8*

 

1Faculty of Medicine, Chiang Mai University, Chiang Mai, 52000, Thailand

 

2College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, 50200, Thailand

 

3Department of Statistics, Faculty of Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand

 

4Department of Anatomy, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, 56000 Cheras, Kuala Lumpur, Federal Territory, Malaysia

 

5Department of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200
Thailand

6Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, 52000, Thailand

 

7Forensic Osteology Research Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand

 

8Excellence in Osteology Research and Training Center (ORTC), Chiang Mai University, Chiang Mai, 50200, Thailand

 

Received: 4 October 2019/Accepted: 3 August 2020

 

ABSTRACT

The current technology used in imaging has an increasing role in medical education. The concept of using an image analysis programme to help in estimating the age of the aorta, the largest artery, can be clearly seen to be of use, especially in establishing age changes for the identification of individuals. The purposes of the study were to investigate gross morphology, morphometric parameters, and the correlation between parameters with age of the aorta in human cadavers by using an image analysis programme. A total of 244 specimens were dissected from 4 locations of 61 human aortas from donour and autopsy cadavers with an age range of 20 to 90 years. The morphometric parameters included outer circumference, inner circumference, aortic diameter, and average thickness of all locations of the aorta. These were defined and measured by using the image analysis programme. The results of this study showed that the outer circumference (r=0.808-0.739), inner circumference (r=0.763-0.682), vertical diameter of the aorta (r=0.628-0.524) and horizontal diameter of the aorta (r=0.808-0.396) showed a significant correlation with age in all areas of the aorta. In the ascending aorta, the correlation between the outer circumference, horizontal diameter and age were higher than other variables and areas. The age equation established pertinent to the outer circumference (OC) in the ascending aorta was age = -61.648+ (1.141(OC)) with a standard error of ± 12.45 years.  The age prediction equation for the horizontal diameter (HD) in the ascending aorta was age = -35.799+ (4.134(HD)) and a standard error of ± 12.43 years. In conclusion, knowledge of the structural changes associated with age can be used for age estimation in forensic anthropology.

 

Keywords: Age changes; aorta; estimation of age; geometry; image analysis

 

ABSTRAK

Peranan teknologi pengimejan menunjukkan peningkatan yang tinggi dalam pendidikan perubatan. Konsep penggunaan program analisis imej untuk membantu penganggaran usia aorta, arteri terbesar, dapat dilihat dengan jelas dalam penggunaannya, terutama pada zaman membangun ini untuk mengenal pasti individu. Tujuan penyelidikan ini adalah untuk mengkaji morfologi gros, parameter morfometri dan kaitannya dengan usia aorta dalam badan manusia dengan menggunakan program analisis pengimejan. Sejumlah 244 spesimen dibelah dua daripada 4 tempat daripada 61 penderma aorta dan juga autopsi mayat dengan umur antara 20 hingga 90 tahun. Parameter morfometri termasuk lilitan luar, lilitan dalam, diameter aorta dan purata tebal aorta di semua lokasi. Nilai tersebut diperincikan dan diukur dengan menggunakan program analisis pengimejan. Hasil kajian ini menunjukkan bahawa lilitan luaran (r=0.808-0.739), lilitan dalaman (r=0.763-0.682), diameter sudut tegak aorta (r=0.628-0.524) dan diameter sudut mengufuk aorta (r=0.808-0.396) menunjukkan bahawa terdapat kaitan yang ketara dengan umur pada kesemua kawasan aorta. Pada aorta menaik, hubungan antara lilitan luaran, diameter sudut mengufuk dan usia adalah lebih tinggi jika dibandingkan dengan pemboleh ubah daripada kawasan yang lain. Persamaan usia telah menunjukkan bahawa ia berkait dengan lilitan luar (OC) dalam aorta menaik pada usia = -61.648+ (1.141(OC)) dengan ralat piawai ± 12.45 tahun. Kesimpulannya, ilmu berkaitan dengan perubahan struktur yang berkait dengan usia dapat digunakan untuk menganggar usia dalam forensik antropologi.

 

Kata kunci: Analisis imej; aorta; geometri; perubahan usia; penganggaran usia

 

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*Corresponding author; email: pasuk034@gmail.com

   

 

 

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