Dental Age Estimation in Down Syndrome Children, Using Schour-Massler and the Blenkin-Taylor Method in Jember Region
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Abstract
Background: Dental age estimation plays a vital role in today's medical world. There are various methods for determining the approximate age of a person. Dental age estimation seen from the growth of the teeth can be measured by looking at the clinical condition of the individual's oral cavity or through panoramic photos. There are many studies related to the estimation of individual age through the teeth but not yet in children with Down Syndrome. Purpose: The purpose of this study was to analyze the differences in the dental estimated ages of Down syndrome children using the Schour-Massler and the Blenkin-Taylor method in Jember Region.
Material and Methods: The research was cross-sectional. The research subjects were people with Down Syndrome 10-17 years old and taking panoramic photos. Calculating dental age using the method of Schour- Massler and Blenkin-Taylor by 3 observers. Data analysis using Kolmogorov Smirnov and Paired T-Test.
Results: The mean difference between the age of the sample and the age of the teeth in the Schour -Massler method is 2.0-3.1 years and the difference between the age of the sample and the age of the teeth in the Blenkin-Taylor method is 1.6-3.2 years.
Conclusion: There was a delay in the teeth age, especially in Down Syndrome children using both the Schour-Massler measurement method and the Blenkin-Taylor method.
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References
I. Chamidah, Nur. Deteksi Dini Gangguan Pertumbuhan dan Perkembangan Anak. Artikel. Universitas Negeri Yogyakarta. 2009.
II. Nussbaum RL, McInnes RR, Willard HF. Thomson & Thomson Genetics in Medicine. Seventh Ed. Philadelphia, Saunders Co. 2007.
III. Jeffry S.Nevid, et al. Psikologi Abnormal. Jakarta : Erlangga, 2005. hlm.150
IV. Nadel L. Down's syndrome: a genetic disorder in biobehavioral perspective. Genes Brain Behav. 2003;2:156-166.
V. Hafez, A. A., Shaomian Yao dan Gary E.Wise. Effects of BMP Signaling on osteogenic Difeferentiation and Tooth Eruption. The FASEB Journal. 2017.
VI. Webster, A. Off We Go to the Dentist. Bethesda, MD: Woodbine House. 2007.
VII. Ajmal M, Mody B, Kumar G. Age estimation using three established methods: A study on Indian population. Forensic Sci Int 2001; 122(2-3): 150-4.
VIII. Thevissen P., Fieuws S., Willems G. Human Dental Age Estimation Using Third Molar Developmental Stages: Does a Bayesian Approach Out Perform Regression Models to Discriminate Between Juvenile and Adults? Int J Legal Med. 2010; 1: 35-42.
IX. Shanin, K. Cardiovascular effect Of Saffron: An Evidence-Based Review. Journal Teheran Heart Centre. 2011; 6(2): 59-61.
X. Ebrahim E, Prasanna K, Laxmikanth C. Dental Age Estimation Using Schour and Massler Method in South Indian Children’Sch. J App Med Sci. 2014; 2(5C):1669-1674.
XI. Blenkin, M., Taylor, J., Age Estimation Charts for Modern Australian Population. Forensic Science International 221. 2012. 106-112.
XII. Messer, L. B., Till, M. J. A. Agenetic Contribution to Dental Caries, Occlusion, and Morphology as Demonstrated by Twin reared apart. J Dent Res. 1988; 67 (9): 1150-5.
XIII. Smit, E. L., A Test of Ubelaker's Method of Estimating Subadult Age from the Dentition. Human Biology Journal. 2005.
XIV. Quendangen A.A.R. Memperkirakan Usia Gigi Melalui Gigi dengan Menggunakan Metode Schour dan Massler pada Anak Usia 5 Sampai dengan 16 Tahun. http://repository.unmas.ac.id/journal/detail/938. 2016.
XV. Lantu, Virginia A. R., Kawengian, Shirley E. S., dan Wowor, Vonny N. S. Hubungan Status Gizi Dengan Erupsi Gigi Permanen Siswa SD Negeri 70 Manado. Jurnal E-Gigi. 2015; 3(1).
XVI. Wise GE, Fan W. Changes in the tartrate-resistant acid phosphatase cell population in dental follicles and bony crypts of rat molars during tooth eruption. J Dent Res. 1989; 68:150–156.
XVII. Liu D, Yao S, Pan F, Wise GE. Chronology and regulation of gene expression of RANKL in the rat dental follicle. Eur J Oral Sci. 2005;113:404–9.
XVIII. Joziasse, Irene C., Kelly A. S., Sonja C., Marteen D., Victor G., Jasper J. D., Edwin C., Peter D., Barbara J. M. M., Cheryl L. M., Benjamin R., Pieter A. D., and Jeroen B. ALK-2 Mutation in Patients with Down Syndrome and a Congenital Heart Defect. European Journal of Human Genetics. 2011; 19: 389-393.
XIX. Wang, R. N., Jordan Green, Zhongliang Wang, Youlin Deng, Min Qiao, Michael Peabody, Qian Zhang, Jixing Ye, Zhengjian Yan, Sahitya Denduluri, Olumuyiwa Idowu, Melissa Li, Christine Shen, Alan Hu, Rex C. Haydon, Richard Kang, James Mok, Michael J. Lee, Hue L. Luu, Lewis L. Shi. Bone Morphogenetic Protein (BMP) Signaling in Development and Human Disease. Genes and Diases. United States of America: The University of Chicago Medical Center. 2014.
XX. Aberg, T., John Wozney., and Irma Thesleff. Expression Patterns of Bone Morphogenetic Proteins (Bmps) in the Developing Mouse Tooth Suggest Roles in Morphogenesis and Cell Differentiation. Developmental Dynamics Journal. 2000; 210:383-396.
XXI. Setyawati, Siti M., Agussalim, D. Security Complex Indonesia-Australia dan Pengaruhnya terhadap Dinamika Hubungan Kedua Negara. JSP Jurnal Ilmu Sosial dan Ilmu Politik. 2015; 19:111-124.