Forensic age estimation in males by MRI based on the medial epiphysis of the clavicle
Tóm tắt
Increasing cross-border migration has brought forensic age assessment into focus in recent decades. Forensic age estimation is based on the three pillars: physical and medical constitution, bone age, and tooth age. Part of the bone age examination includes the assessment of the medial end of the clavicles when the hand bones are already fully developed and a minority must be excluded. Recent research has brought MRI to the forefront as a radiation-free alternative for age assessment. However, there exits only a few studies with large sample size regarding the clavicles and with controversies about staging, motion artifacts, and exclusion based on anatomic norm variants. In the current prospective study, 338 central European male individuals between 13 and 24 years of age underwent MRI examination of the sternoclavicular region. Development was assessed by three blinded raters according to the staging system described by Schmeling et al. and Kellinghaus et al. and related to age by descriptive statistics and transition analyses with a cumulative probit model. In addition, reliability calculations were performed. No statistically significant developmental difference was found between the left and right clavicles. Inter-rater agreement was only moderate, but intra-rater agreement, on the other hand, was good. Stage 3c had a minimum age of 19.36 years and appears to be a good indicator of proof of majority. The minimum age of stage 4 was lower compared with other studies, 20.18 years, and therefore seems not to be an indicator of age of 21 years. In conclusion, we confirmed the value of clavicular MRI in the age estimation process. The transition analysis model is a good approach to circumvent the problems of age mimicry and samples that are not fully equilibrated. Given the moderate agreement between raters, a consensus reading is recommended.
Tài liệu tham khảo
Schmeling A, Grundmann C, Fuhrmann A, Kaatsch H. J., Knell B, Ramsthaler F, Reisinger W, Riepert T, Ritz-Timme S, Rosing F. W., Rotzscher K, Geserick G (2008) Criteria for age estimation in living individuals. Int J Legal Med 122:457–460. https://doi.org/10.1007/s00414-008-0254-2
Wittschieber D, Ottow C, Vieth V, Küppers M, Schulz R, Hassu J, Bajanowski T, Püschel K, Ramsthaler F, Pfeiffer H, Schmidt S, Schmeling A (2015) Projection radiography of the clavicle: still recommendable for forensic age diagnostics in living individuals? Int J Legal Med 129:187–93. https://doi.org/10.1007/s00414-014-1067-0
Schulz R, Zwiesigk P, Schiborr M, Schmidt S, Schmeling A (2008) Ultrasound studies on the time course of clavicular ossification. Int J Legal Med 122:163–7. https://doi.org/10.1007/s00414-007-0220-4
Schulz R, Schiborr M, Pfeiffer H, Schmidt S, Schmeling A (2013) Sonographic assessment of the ossification of the medial clavicular epiphysis in 616 individuals. Forensic Sci Med Pathol 9:351–357. https://doi.org/10.1007/s12024-013-9440-8
Gonsior M, Ramsthaler F, Gehl A, Verhoff M (2013) Morphology as a cause for different classification of the ossification stage of the medial clavicular epiphysis by ultrasound, computed tomography, and macroscopy. Int J Legal Med 127:1013–21. https://doi.org/10.1007/s00414-013-0889-5
Tolsgaard M. G., Todsen T, Sorensen J. L., Ringsted C, Lorentzen T, Ottesen B, Tabor A (2013) International multispecialty consensus on how to evaluate ultrasound competence: a delphi consensus survey. PLoS One 8:57687. https://doi.org/10.1371/journal.pone.0057687
Schmidt S, Ottow C, Pfeiffer H, Heindel W, Vieth V, Schmeling A, Schulz R (2017) Magnetic resonance imaging-based evaluation of ossification of the medial clavicular epiphysis in forensic age assessment. Int J Legal Med 131:1665–73. https://doi.org/10.1007/s00414-017-1676-5
De Tobel J, Hillewig E, Wijk M, Fieuws S, Haas M. B., Rijn R., Thevissen P. W., Verstraete K. L. (2020) Staging clavicular development on MRI: pitfalls and suggestions for age estimation. J Magn Reson Imaging 51:377–88. https://doi.org/10.1002/jmri.26889
De Tobel J, van Wijk M, Alberink I, Hillewig E, Phlypo I, van Rijn R., Thevissen P. W., Verstraete K. L., de Haas M. B. (2020) The influence of motion artefacts on magnetic resonance imaging of the clavicles for age estimation. Int J Legal Med 134:753–68. https://doi.org/10.1007/s00414-019-02230-x
Hillewig E, De Tobel J, Cuche O, Vandemaele P, Piette M, Verstraete K (2011) Magnetic resonance imaging of the medial extremity of the clavicle in forensic bone age determination: a new four-minute approach. Eur Radiol 21:757–67. https://doi.org/10.1007/s00330-010-1978-1
Hillewig E, Degroote J, Van der Paelt T, Visscher A, Vandemaele P, Lutin B, D’Hooghe L, Vandriessche V, Piette M, Verstraete K (2013) Magnetic resonance imaging of the sternal extremity of the clavicle in forensic age estimation: towards more sound age estimates. Int J Legal Med 127:677–89. https://doi.org/10.1007/s00414-012-0798-z
Schmidt S, Henke C. A., Wittschieber D, Vieth V, Bajanowski T, Ramsthaler F, Püschel K, Pfeiffer H, Schmeling A, Schulz R (2016) Optimising magnetic resonance imaging-based evaluation of the ossification of the medial clavicular epiphysis: a multi-centre study. Int J Legal Med 130:1615–21. https://doi.org/10.1007/s00414-016-1442-0
Schmidt S, Mühler M, Schmeling A, Reisinger W, Schulz R (2007) Magnetic resonance imaging of the clavicular ossification. Int J Legal Med 121:321–24. https://doi.org/10.1007/s00414-007-0160-z
Tangmose S, Jensen K, Villa C, Lynnerup N (2014) Forensic age estimation from the clavicle using 1.0t mri–preliminary results. Forensic Sci Int 234:7–12. https://doi.org/10.1016/j.forsciint.2013.10.027
Vieth V, Schulz R, Brinkmeier P, Dvorak J, Schmeling A (2014) Age estimation in u-20 football players using 3.0 tesla mri of the clavicle. Forensic Sci Int 241:118–22. https://doi.org/10.1016/j.forsciint.2014.05.008
Schmeling A, Schulz R, Reisinger W, Muhler M, Wernecke K. D., 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 124:321–5. https://doi.org/10.1007/s00414-010-0448-2
Kellinghaus M, Schulz R, Vieth V, Schmidt S, Schmeling A (2010) Forensic age estimation in living subjects based on the ossification status of the medial clavicular epiphysis as revealed by thin-slice multidetector computed tomography. Int J Legal Med 124:149–54. https://doi.org/10.1007/s00414-009-0398-8
Boldsen J. L, Milner G. R, Konigsberg L. W, Wood J. M (2002) Transition analysis: a new method for estimating age from skeletons. In: Hoppa R. D, Vaupel J. W (eds) Paleodemography: age distributions from skeletal samples. Cambridge University Press, New York, pp 73–106
Konigsberg L. W., Herrmann N. P., Wescott D. J., Kimmerle E. H. (2008) Estimation and evidence in forensic anthropology: age-at-death. J Forensic Sci 53:541–57. https://doi.org/10.1111/j.1556-4029.2008.00710.x
Konigsberg L. W., Frankenberg S. R., Liversidge H. M. (2016) Optimal trait scoring for age estimation. Am J Phys Anthropol 159:557–76. https://doi.org/10.1002/ajpa.22914
Tangmose S, Thevissen P, Lynnerup N, Willems G, Boldsen J (2015) Age estimation in the living: transition analysis on developing third molars. Forensic Sci Int 257:512e1–512e7. https://doi.org/10.1016/j.forsciint.2015.07.049
R Core Team (2021) R: a language and environment for statistical computing. R foundation for statistical computing, organization R foundation for statistical computing, Vienna https://www.R-project.org/
Gamer M, Lemon J, Fellows I, Singh P (2019) irr: various coefficients of interrater reliability and agreement. R package version 0.84.1. https://CRAN.R-project.org/package=irr
Gwet K (2019) irrCAC: computing chance-corrected agreement coefficients (CAC). R package version 1.0 . https://CRAN.R-project.org/package=irrCAC
Jackman S (2020) pscl: classes and methods for R. Developed in the Political Science Computational Laboratory. United States Studies Centre, University of Sydney, Sydney. R package version 1.5.5. https://github.com/atahk/pscl/
Venables W. N, Ripley B. D (2002) Modern applied statistics with S, 4th edn. Springer, New York
Yee T. W (2019) VGAM: vector generalized linear and additive models. R package version 1.1-2. https://CRAN.R-project.org/package=VGAM
Konigsberg L. W (2020) Lyle W. Konigsberg’s webpage, http://faculty.las.illinois.edu/lylek/. note Accessed 25 July 2022
Altman D. G (1991) Practical statistics for medical research. Chapman & Hall/CRC, London
Krippendorff K (2013) Content analysis: an introduction to its methodology publisher sage publications
De Tobel J, Ottow C, Widek T, Klasinc I, Mörnstad H, Thevissen P. W., Verstraete K. L. (2020) Dental and skeletal imaging in forensic age estimation: disparities in current approaches and the continuing search for optimization. Seminars Musculoskeletal Radiology 24:510–22. https://doi.org/10.1055/s-0040-1701495
Stern D, Payer C, Giuliani N, Urschler M (2019) Automatic age estimation and majority age classification from multi-factorial mri data. IEEE J Biomed Health Inform 23:1392–403. https://doi.org/10.1109/JBHI.2018.2869606
Štern D, Payer C, Urschler M (2019) Automated age estimation from mri volumes of the hand. Med Image Anal volume 58:101538. https://doi.org/10.1016/j.media.2019.101538
Wittschieber D, Schulz R, Vieth V, Küppers M, Bajanowski T, Ramsthaler F, Püschel K, Pfeiffer H, Schmidt S, Schmeling A (2014) The value of sub-stages and thin slices for the assessment of the medial clavicular epiphysis: a prospective multi-center ct study. Forensic Sci, Med, Pathology 10:163–9. https://doi.org/10.1007/s12024-013-9511-x
Tangmose S, Jensen K. E., Lynnerup N (2013) Comparative study on developmental stages of the clavicle by postmortem mri and ct imaging. J Forensic Radiol Imaging 1:102–6. 10.1016/j.jofri.2013.05.008
Vieth V, Kellinghaus M, Schulz R, Pfeiffer H, Schmeling A (2010) Ossification stage of the medial clavicular epiphysis. Comparison of projectional radiography, computed tomography and magnetic resonance imaging. Rechtsmedizin 20:483–8. https://doi.org/10.1007/s00194-010-0709-x
Wittschieber D, Schmidt S, Vieth V, Schulz R, Püschel K, Pfeiffer H, Schmeling A (2014) Subclassification of clavicular substage 3a is useful for diagnosing the age of 17 years. Rechtsmedizin 24:485–8. https://doi.org/10.1007/s00194-014-0990-1
Martínez Vera N. P., 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