Schmeling A, Dettmeyer R, Rudolf E, Vieth V, Geserick G (2016) Forensic age Estimation. Deutsches Arzteblatt Int 113:44–50. https://doi.org/10.3238/arztebl.2016.0044
Diete V, Wabitsch M, Denzer C et al (2021) Applicability of magnetic resonance imaging for bone age Estimation in the context of medical issues. RoFo: Fortschr Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin 193:692–700. https://doi.org/10.1055/a-1313-7664
De Tobel J, Bauwens J, Parmentier GIL et al (2020) Magnetic resonance imaging for forensic age Estimation in living children and young adults: a systematic review. Pediatr Radiol 50:1691–1708. https://doi.org/10.1007/s00247-020-04709-x
Lopatin O, Barszcz M, Bolechala F, Wozniak KJ (2023) The fusion of ossification centers - A comparative review of radiographic and other imaging modalities of age assessment in living groups of children, adolescents, and young adults. Legal Med (Tokyo Japan) 61:102185. https://doi.org/10.1016/j.legalmed.2022.102185
Cardoso HF (2008) Age Estimation of adolescent and young adult male and female skeletons II, epiphyseal union at the upper limb and scapular girdle in a modern Portuguese skeletal sample. Am J Phys Anthropol 137:97–105. https://doi.org/10.1002/ajpa.20850
Hosmani A, Pathak H, Khartade H et al (2023) Age Estimation in sportspersons from the epiphyseal fusion around Wrist, Elbow, and pelvic joints. Cureus 15:e33282. https://doi.org/10.7759/cureus.33282
Article PubMed PubMed Central Google Scholar
Ahn KS, Bae B, Jang WY et al (2021) Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model. Eur Radiol 31:8947–8955. https://doi.org/10.1007/s00330-021-08096-1
Sauvegrain J, Nahum H, Bronstein H (1962) [Study of bone maturation of the elbow]. Ann Radiol 5:542–550
Pandey H, Tripathi V, Pathak H, Choudhary SK, Parchake MB (2019) Age Estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region. J Forensic Dent Sci 11:142–146. https://doi.org/10.4103/jfo.jfds_90_19
Zheng T, Wang Y, Dong X, Qing S, Deng Z (2013) Skeletal age Estimation in Sichuan region Han teenagers with elbow radiographs. Chin J Forensic Med 28:210–214
Shedge R, Kanchan T, Kushwaha KPS, Krishan K (2021) Ultrasonographic evaluation of the wrist and elbow joints: A pilot study to explore a non-invasive technique for age Estimation. Med Sci Law 61:14–22. https://doi.org/10.1177/0025802420955096
Schmeling A, Schulz R, Reisinger W, Mühler M, Wernecke KD, Geserick G (2004) Studies on the time frame for ossification of the medial clavicular epiphyseal cartilage in conventional radiography. Int J Legal Med 118:5–8. https://doi.org/10.1007/s00414-003-0404-5
Kellinghaus M, Schulz R, Vieth V, Schmidt S, Pfeiffer H, Schmeling A (2010) Enhanced possibilities to make statements on the ossification status of the medial clavicular epiphysis using an amplified staging scheme in evaluating thin-slice CT scans. Int J Legal Med 124:321–325. https://doi.org/10.1007/s00414-010-0448-2
Zhang K, Fan F, Tu M et al (2018) The role of multislice computed tomography of the costal cartilage in adult age Estimation. Int J Legal Med 132:791–798. https://doi.org/10.1007/s00414-017-1646-y
Kumagai A, Jeong S, Kim D, Kong HJ, Oh S, Lee SS (2023) Validation of data mining models by comparing with conventional methods for dental age Estimation in Korean juveniles and young adults. Sci Rep 13:726. https://doi.org/10.1038/s41598-023-28086-1
Article PubMed PubMed Central CAS Google Scholar
Štepanovský M, Buk Z, Pilmann Kotěrová A et al (2023) Automated age-at-death Estimation from 3D surface scans of the facies auricularis of the pelvic bone. Forensic Sci Int 349:111765. https://doi.org/10.1016/j.forsciint.2023.111765
Fan F, Tu M, Li R et al (2020) Age Estimation by multidetector computed tomography of cranial sutures in Chinese male adults. Am J Phys Anthropol 171:550–558. https://doi.org/10.1002/ajpa.23998
Tang XE, Lu T, Zhou YC et al (2024) Adult age Estimation from the sternum using maximum intensity projection images of CT and data mining in a Chinese population. Int J Legal Med 138:961–970. https://doi.org/10.1007/s00414-024-03161-y
Qiu L, Liu A, Dai X et al (2024) Machine learning and deep learning enabled age Estimation on medial clavicle CT images. Int J Legal Med 138:487–498. https://doi.org/10.1007/s00414-023-03115-w
Lu T, Qiu LR, Ren B, Shi L, Fan F, Deng ZH (2021) Forensic age Estimation based on magnetic resonance imaging of the proximal humeral epiphysis in Chinese living individuals. Int J Legal Med 135:2437–2446. https://doi.org/10.1007/s00414-021-02653-5
Martínez Vera NP, Höller J, Widek T, Neumayer B, Ehammer T, Urschler M (2017) Forensic age Estimation by morphometric analysis of the manubrium from 3D MR images. Forensic Sci Int 277: 21 – 9. https://doi.org/10.1016/j.forsciint.2017.05.005
Dallora AL, Berglund JS, Brogren M et al (2019) Age assessment of youth and young adults using magnetic resonance imaging of the knee: A deep learning approach. JMIR Med Inf 7:e16291. https://doi.org/10.2196/16291
De Tobel J, Hillewig E, van Wijk M et al (2020) Staging clavicular development on MRI: pitfalls and suggestions for age Estimation. J Magn Reson Imaging: JMRI 51:377–388. https://doi.org/10.1002/jmri.26889
Lu T, Shi L, Zhan MJ et al (2020) Age Estimation based on magnetic resonance imaging of the ankle joint in a modern Chinese Han population. Int J Legal Med 134:1843–1852. https://doi.org/10.1007/s00414-020-02364-3
Jiao YS, Tuerhong Y, Chen CX et al (2024) Bone age assessment based on different MRI modalities of the proximal humerus epiphysis: the comparisons of T(1)WI, T(2)WI, and PDWI. Int J Legal Med 138:1509–1521. https://doi.org/10.1007/s00414-024-03182-7
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