Comparison of original and new South African formulae for age estimation in African Black and white children and adolescents using dental and hand-wrist methods

Adserias-Garriga J (2019) Age estimation: a multidisciplinary approach, 1st edn. Academic Press Cambridge, USA

Google Scholar 

Stats SA (2024) Migration Profile Report for South Africa, A country profile 2023, Report No. 03-09-17. In: SA S, ed

Collinson MA, Tollman SM, Kahn K (2007) Migration, settlement change and health in post-apartheid South Africa: triangulating health and demographic surveillance with national census data. Scand J Public Health Suppl 69:77–84

Article  PubMed  PubMed Central  Google Scholar 

Campbell EK (2006) Reflections on illegal immigration in Botswana and South Africa. Afr Popul Stud 21:23–44. https://doi.org/10.11564/21-2-340

Article  Google Scholar 

Angelakopoulos N, Chaitanya NCSK, Balla SB (2024) Effect of impaction on third molar development and age estimation – A study in a female black South African population. Archives Legal Med 200477. https://doi.org/10.1016/j.aolm.2024.200477

Akanle O, Alemu AE, Adesina JO (2016) The existentialities of Ethiopian and Nigerian migrants in South Africa. International Journal of African Renaissance Studies - Multi-, Inter- and Transdisciplinarity 11: 139– 58. https://doi.org/10.1080/18186874.2016.1249134

Crush J, Williams V (2001) Making up the numbers: measuring illegal immigration to South Africa. Africa Portal and Southern Africa Migration Programme

Government Gazette (2006) South Africa: Act No. 38 of 2005, Children’s Act, 19 June 2006, https://www.refworld.org/legal/legislation/natlegbod/2006/en/91914. Republic of South Africa CapeTown

Hall K, Sambu W (2019) Demography of South Africa’s children. In: Shung-King M, Lake L, Sanders D, Hendricks M, eds. South African Child Gauge 2019. Children’s Institute, University of Cape Town Cape Town. pp. 216– 20

Statistics South Africa (2012) South Africa’s young children: their family and home environment,report No. 03-10-07. Statistics SA

Orellana MF, Thorne B, Chee A, Lam WSE (2014) Transnational childhoods: the participation of children in processes of Family Migration. Soc Probl 48:572–591. https://doi.org/10.1525/sp.2001.48.4.572

Article  Google Scholar 

Kok P, O’Donovan M, Bouare O, Zyl J (2003) Post Apartheid Patterns of Internal Migration in South Africa

Richter LM, Norris SA, Swart TM, Ginsburg C (2006) In-migration and living conditions of Young adolescents in Greater Johannesburg, South Africa. Soc Dyn 32:195–216

Article  PubMed  PubMed Central  Google Scholar 

Madhavan S, Schatz E, Clark S, Collinson M (2012) Child mobility, maternal status, and household composition in rural South Africa. Demography 49:699–718

Article  PubMed  Google Scholar 

Schmeling A, Grundmann C, Fuhrmann A et al (2008) Criteria for age estimation in living individuals. Int J Legal Med 122:457–460. https://doi.org/10.1007/s00414-008-0254-2

Article  PubMed  Google Scholar 

Schour I, Massler M (1937) Rate and gradient of grown in human deciduous teeth with special reference to neonatal ring. J Dent Res 16:349–350

Google Scholar 

Schour I, Massler M (1941) The development of the human dentition. J Am Dent Assoc 28:1153–1160

Google Scholar 

Noback CR (1954) The appearance of ossification centers and the fusion of bones. Am J Phys Anthropol 12:63–70. https://doi.org/10.1002/ajpa.1330120118

Article  PubMed  Google Scholar 

Flecker H (1932) Roentgenographic observations of the Times of Appearance of Epiphyses and their Fusion with the diaphyses. J Anat 67:118–164

PubMed  PubMed Central  Google Scholar 

Haiter-Neto F, Kurita LM, Menezes AV, Casanova MS (2006) Skeletal age assessment: a comparison of 3 methods. Am J Orthod Dentofac Orthop 130:023

Article  Google Scholar 

Sciulli PW (2007) Relative dental maturity and associated skeletal maturity in prehistoric native americans of the Ohio valley area. Am J Phys Anthropol 132:545–557

Article  PubMed  Google Scholar 

Galic I, Mihanovic F, Giuliodori A, Conforti F, Cingolani M, Cameriere R (2016) Accuracy of scoring of the epiphyses at the knee joint (SKJ) for assessing legal adult age of 18 years. Int J Legal Med 130:1129–1142. https://doi.org/10.1007/s00414-016-1348-x

Article  PubMed  Google Scholar 

Cunha E, Baccino E, Martrille L et al (2009) The problem of aging human remains and living individuals: a review. Forensic Sci Int 193:1–13. https://doi.org/10.1016/j.forsciint.2009.09.008

Article  PubMed  Google Scholar 

Ritz-Timme S, Cattaneo C, Collins MJ et al (2000) Age estimation: the state of the art in relation to the specific demands of forensic practise. Int J Legal Med 113:129–136

Article  PubMed  Google Scholar 

Cameriere R, De Angelis D, Ferrante L, Scarpino F, Cingolani M (2007) Age estimation in children by measurement of open apices in teeth: a European formula. Int J Legal Med 121:449–453. https://doi.org/10.1007/s00414-007-0179-1

Article  PubMed  Google Scholar 

Cameriere R, Ferrante L, Mirtella D, Cingolani M (2006) Carpals and epiphyses of radius and ulna as age indicators. Int J Legal Med 120:143–146. https://doi.org/10.1007/s00414-005-0040-3

Article  PubMed  Google Scholar 

Cameriere R, Ferrante L (2008) Age estimation in children by measurement of carpals and epiphyses of radius and ulna and open apices in teeth: a pilot study. Forensic Sci Int 174:60–63. https://doi.org/10.1016/j.forsciint.2007.03.013

Article  PubMed  Google Scholar 

Schmeling A, Reisinger W, Loreck D, Vendura K, Markus W, Geserick G (2000) Effects of ethnicity on skeletal maturation: consequences for forensic age estimations. Int J Legal Med 113:253–258

Article  PubMed  Google Scholar 

World Medical Association (2013) World medical association declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 310:2191–2194. https://doi.org/10.1001/jama.2013.281053

Article  Google Scholar 

Rasband WS (1997–2018)) Image J. U. S. National Institutes of Health Bethesda, Maryland,USA

Turp JC, Alt KW (1995) Designating teeth: the advantages of the FDI’s two-digit system. Quintessence Int 26:501–504

PubMed  Google Scholar 

Lacey KA, Parkin JM, Steel GH (1973) Relationship between bone age and dental development. Lancet 2:736–737

Article  PubMed  Google Scholar 

Pinchi V, De Luca F, Focardi M et al (2016) Combining dental and skeletal evidence in age classification: pilot study in a sample of Italian sub-adults. Leg Med (Tokyo) 20:75–79. https://doi.org/10.1016/j.legalmed.2016.04.009

Article  PubMed  Google Scholar 

Kumagai A, Willems G, Franco A, Thevissen P (2018) Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults. Int J Legal Med 132:1769–1777. https://doi.org/10.1007/s00414-018-1910-9

Article  PubMed  Google Scholar 

Štern D, Kainz P, Payer C, Urschler M (2017) Multi-factorial age estimation from skeletal and Dental MRI volumes. In: Wang Q, Shi Y, Suk H-I, Suzuki K (eds) Machine learning in Medical Imaging. Springer International Publishing Cham, pp 61–69

Bjelopavlovic M, Reder SR, Fritzen I, Brockmann MA, Hardt J, Petrowski K (2023) Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study. Diagnostics 13: 2029

Angelakopoulos N, Galic I, Balla SB et al (2021) Comparison of the third molar maturity index (I3M) between left and right lower third molars to assess the age of majority: a multi-ethnic study sample. Int J Legal Med 135:2423–2436. https://doi.org/10.1007/s00414-021-02656-2

Article  PubMed  Google Scholar 

Caughell KA, Martin AH, Uhthoff HK (1990) The development of the wrist and hand. In: Uhthoff HK (ed) The Embryology of the human locomotor system. Springer Berlin Heidelberg Berlin, Heidelberg, pp 95–106

Chapter  Google Scholar 

Vossoughi M, Movahhedian N, Ghafoori A (2022) The impact of age mimicry bias on the accuracy of methods for age estimation based on Kvaal’s pulp/tooth ratios: a bootstrap study. Int J Legal Med 136:269–278. https://doi.org/10.1007/s00414-021-02651-7

Article  PubMed  Google Scholar 

Rolseth V, Mosdol A, Dahlberg PS et al (2019) Age assessment by Demirjian’s development stages of the third molar: a systematic review. Eur Radiol 29:2311–2321. https://doi.org/10.1007/s00330-018-5761-z

Article  PubMed  Google Scholar 

Rivera M, De Luca S, Aguilar L, Velandia Palacio LA, Galic I, Cameriere R (2017) Measurement of open apices in tooth roots in Colombian children as a tool for human identification in asylum and criminal proceedings. J Forensic Leg Med 48:9–14. https://doi.org/10.1016/j.jflm.2017.03.005

Article  PubMed  Google Scholar 

Balla SB, Banda TR, Galic I, Naishadham PP (2019) Validation of Cameriere’s third molar maturity index alone and in combination with apical maturity of permanent mandibular second molar for indicating legal age of 14 years in a sample of South Indian children. Forensic Sci Int 297:243–248. https://doi.org/10.1016/j.forsciint.2019.02.009

Article  PubMed  Google Scholar 

da Luz LCP, Anzulovic D, Benedicto EN, Galic I, Brkic H, Biazevic MGH (2019) Accuracy of four dental age estimation methodologies in Brazilian and Croatian children. Sci Justice: J Forensic Sci Soc 59:442–447. https://doi.org/10.1016/j.scijus.2019.02.005

Article  Google Scholar 

Balla SB, Chinni SS, Galic I, Alwala AM, Machani P, Cameriere R (2019) A cut-off value of third molar maturity index for indicating a minimum age of criminal responsibility: older or younger than 16 years? J Forensic Leg Med 65:108–112. https://doi.org/10.1016/j.jflm.2019.05.014

Article  PubMed  Google Scholar 

El-Bakary AA, Attalla SM, Hammad SM et al (2014) Age estimation in Egyptian children by measurements of carpals and epiphyses of the ulna and radius. J Forensic Radiol Imaging 2:121–125. https://doi.org/10.1016/j.jofri.2014.0

留言 (0)

沒有登入
gif