Computed tomographic evaluation of the acetabulum for age estimation in an Indian population using principal component analysis and regression models.
Acetabulum
Age estimation
Computed tomography
Forensic anthropology
Human identification
Linear regression models
Principal component analysis
Summary age models
Journal
International journal of legal medicine
ISSN: 1437-1596
Titre abrégé: Int J Legal Med
Pays: Germany
ID NLM: 9101456
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
received:
21
03
2022
accepted:
07
06
2022
pubmed:
18
6
2022
medline:
20
10
2022
entrez:
17
6
2022
Statut:
ppublish
Résumé
The acetabulum presents as a well-preserved evidence, resistant to taphonomic degradation changes and can thus aid in the age estimation process. A CT-based examination of the acetabulum can further help simplify the process of age estimation by overcoming the time-consuming process of maceration and by doing away with the interference resulting from tissue remnants. The aim of the present study was to evaluate the role of the acetabulum for age estimation in an Indian population through a CT-based examination, using principal component analysis and regression models. CT images of 400 individuals aged 10 years and above were evaluated according to the features defined in the San-Millán-Rissech method of age estimation. Five of the seven morphological features defined by San-Millán-Rissech were appreciable on CT scans, and, to enable further statistical analysis, a cumulative score was computed using these five features. A significant correlation of 0.835 and 0.830 for the right and left acetabulum, respectively, was obtained between computed cumulative scores and chronological age of individuals. No significant sex differences were observed in the scoring of different age-related morphological changes. Regression models were generated using individual features and cumulative scores. Regression models derived using the cumulative score yielded inaccuracy values of 9.67 years for the right acetabulum and 9.15 years for the left acetabulum. Inaccuracy and bias values were computed for each individual feature, as well as for each decade, using mean point ages established within the original study. Amongst the various features, acetabular rim porosity was seen to have the lowest values of inaccuracy (11.50 years) and bias (2.32 years) and activity on outer edge of acetabular fossa the highest (inaccuracy and bias values of 22.36 years and 21.50 years, respectively). Taking into consideration this differential contribution towards age estimation, weighted coefficients and mean point ages for different morphological features were determined using principal component analysis. Subsequently, summary age models were generated from the obtained weighted coefficients and mean age values. Summary age models derived in the present study yield lower estimates of inaccuracy of 7.60 years for the right acetabulum and 7.82 years for the left acetabulum. While regression models derived in the present study allow for age estimation using even a single appreciable feature, summary age models take into account the contribution of each feature and generate more accurate estimates of age. Both statistical computations yield reduced error rates and thus can render greater applicability to the acetabulum in forensic age estimation.
Identifiants
pubmed: 35715653
doi: 10.1007/s00414-022-02856-4
pii: 10.1007/s00414-022-02856-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1637-1653Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Krogman WM, Iscan MY (1986) The human skeleton in forensic medicine. Charles C Thomas, Springfield.
Kotecha SD (2016) Dental age estimation in children: a review. FRCIJ. 3(1):264–267. https://doi.org/10.15406/frcij.2016.03.00085
doi: 10.15406/frcij.2016.03.00085
Ambarkova V, Galić I, Vodanović M, Biočina-Lukenda D, Brkić H (2014) Dental age estimation using Demirjian and Willems methods: cross sectional study on children from the Former Yugoslav Republic of Macedonia. Forensic Sci Int 234:187.e1–7. https://doi.org/10.1016/j.forsciint.2013.10.024
doi: 10.1016/j.forsciint.2013.10.024
Widek T, Genet P, Ehammer T, Schwark T, Urschler M, Scheurer E (2021) Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist. Forensic Sci Int 319:110654. https://doi.org/10.1016/j.forsciint.2020.110654
doi: 10.1016/j.forsciint.2020.110654
pubmed: 33360245
Wittschieber D, Vieth V, Domnick C, Pfeiffer H, Schmeling A (2013) The iliac crest in forensic age diagnostics: evaluation of the apophyseal ossification in conventional radiography. Int J Legal Med 127:473–479. https://doi.org/10.1007/s00414-012-0763-x
doi: 10.1007/s00414-012-0763-x
pubmed: 23052440
Zhang K, Dong XA, Chen XG, Zhang L, Deng Z (2015) The ossification of the ischial tuberosity for forensic age diagnostics in conventional radiography. Aust J Forensic Sci 46(4):455–62. https://doi.org/10.1080/00450618.2014.891652
doi: 10.1080/00450618.2014.891652
Brooks S, Suchey JM (1990) Skeletal age determination based on the os pubis: a comparison of the Acsádi-Nemeskéri and Suchey-Brooks methods. Hum Evol 5(3):227–238
doi: 10.1007/BF02437238
McKern TW, Stewart TD (1957) Skeletal age changes in young American males, analysed from the standpoint of age identification. The Online Books Page [Internet]. [cited 2020 Jul 20]. Available from: http://onlinebooks.library.upenn.edu/webbin/book/lookupid?key=ha002075809 . Accessed 1 Jul 202
Lovejoy CO, Meindl RS, Pryzbeck TR, Mensforth RP (1985) Chronological metamorphosis of the auricular surface of the ilium: a new method for the determination of adult skeletal age at death. Am J Phys Anthropol 68(1):15–28. https://doi.org/10.1002/ajpa.1330680103
doi: 10.1002/ajpa.1330680103
pubmed: 4061599
Buckberry JL, Chamberlain AT (2002) Age estimation from the auricular surface of the ilium: a revised method. Am J Phys Anthropol 119(3):231–239. https://doi.org/10.1002/ajpa.10130
doi: 10.1002/ajpa.10130
pubmed: 12365035
Todd TW (1920) Age changes in the pubic bone. I. The male white pubis. Am J Phys Anthropol. 3(3):285–334. https://doi.org/10.1002/ajpa.1330030301
doi: 10.1002/ajpa.1330030301
Lungmus EK (2009) An examination of error in the application of pubic aging techniques. The University of Montana, Missoula, Missoula
Osborne DL, Simmons TL, Nawrocki SP (2004) Reconsidering the auricular surface as an indicator of age at death. J Forensic Sci 49(5):1–7
doi: 10.1520/JFS2003348
Zhang K, Dong XA, Fan F, Deng ZH (2016) Age estimation based on pelvic ossification using regression models from conventional radiography. Int J Legal Med 130(4):1143–1148. https://doi.org/10.1007/s00414-016-1383-7
doi: 10.1007/s00414-016-1383-7
pubmed: 27169673
Miranker M (2016) A comparison of different age estimation methods of the adult pelvis. J Forensic Sci 61(5):1173–1179. https://doi.org/10.1111/1556-4029.13130
doi: 10.1111/1556-4029.13130
pubmed: 27346631
Moraitis K, Zorba E, Eliopoulos C, Fox SC (2014) A test of the revised auricular surface aging method on a modern European population. J Forensic Sci 59(1):188–194. https://doi.org/10.1111/1556-4029.12303
doi: 10.1111/1556-4029.12303
pubmed: 24148103
Latham KE, Finnegan JM, Rhine S. Age estimation of the human skeleton [Internet]. Springfield, Ill.: Charles C. Thomas Publisher; 2010 [cited 2021 Sep 16]. Available from: http://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=592401 . Accessed 16 Sept 2021
Campanacho V, Chamberlain AT, Nystrom P, Cunha E (2020) Degenerative variance on age-related traits from pelvic bone articulations and its implication for age estimation. Anthropol Anz 77(3):259–268. https://doi.org/10.1127/anthranz/2020/1184
doi: 10.1127/anthranz/2020/1184
pubmed: 32236289
Bocquet-Appel JP, Masset C (1982) Farewell to paleodemography. J Hum Evol 11(4):321–333. https://doi.org/10.1016/S0047-2484(82)80023-7
doi: 10.1016/S0047-2484(82)80023-7
Rissech C, Wilson J, Winburn AP, Turbón D, Steadman D (2012) A comparison of three established age estimation methods on an adult Spanish sample. Int J Legal Med 126:145–155. https://doi.org/10.1007/s00414-011-0586-1
doi: 10.1007/s00414-011-0586-1
pubmed: 21656296
Rissech C, Estabrook GF, Cunha E, Malgosa A (2006) Using the acetabulum to estimate age at death of adult males. J Forensic Sci 51(2):213–229. https://doi.org/10.1111/j.1556-4029.2006.00060.x
doi: 10.1111/j.1556-4029.2006.00060.x
pubmed: 16566753
Calce SE (2012) A new method to estimate adult age-at-death using the acetabulum. Am J Phy Anthrop 148(1):11–23. https://doi.org/10.1002/ajpa.22026
doi: 10.1002/ajpa.22026
Rougé-Maillart C, Vielle B, Jousset N, Chappard D, Telmon N, Cunha E (2009) Development of a method to estimate skeletal age at death in adults using the acetabulum and the auricular surface on a Portuguese population. Forensic Sci Int 88(1–3):91–95. https://doi.org/10.1016/j.forsciint.2009.03.019
doi: 10.1016/j.forsciint.2009.03.019
Botha D, Pretorius S, Myburgh J, Steyn M (2016) Age estimation from the acetabulum in South African black males. Int J Legal Med 130(3):809–817. https://doi.org/10.1007/s00414-015-1299-7
doi: 10.1007/s00414-015-1299-7
pubmed: 26662190
Calce SE, Rogers TL (2011) Evaluation of age estimation technique: testing traits of the acetabulum to estimate age at death in adult males. J Forensic Sci 56(2):302–311. https://doi.org/10.1111/j.1556-4029.2011.01700.x
doi: 10.1111/j.1556-4029.2011.01700.x
pubmed: 21306380
Rissech C, Estabrook GF, Cunha E, Malgosa A (2007) Estimation of age-at-death for adult males using the acetabulum, applied to four Western European populations. J Forensic Sci 52(4):774–778. https://doi.org/10.1111/j.1556-4029.2007.00486.x
doi: 10.1111/j.1556-4029.2007.00486.x
pubmed: 17553079
Winburn AP (2008) A comparison of pelvic age-estimation methods on two modern iberian populations: bioarchaeological and forensic implications. New York University, New York
Rissech C, Winburn AP, San-Millán M, Sastre J, Rocha J (2019) The acetabulum as an adult age marker and the new IDADE2 (the IDADE2 web page). Am J Phys Anthropol 169(4):757–764. https://doi.org/10.1002/ajpa.23856
doi: 10.1002/ajpa.23856
pubmed: 31087665
San-Millán M, Rissech C, Turbón D (2017) New approach to age estimation of male and female adult skeletons based on the morphological characteristics of the acetabulum. Int J Legal Med 131:501–525. https://doi.org/10.1007/s00414-016-1406-4
doi: 10.1007/s00414-016-1406-4
pubmed: 27363827
San-Millán M, Rissech C, Turbón D (2019) Application of the recent SanMillán–Rissech acetabular adult aging method in a North American sample. Int J Leg Med 133(3):909–920. https://doi.org/10.1007/s00414-019-02005-4
doi: 10.1007/s00414-019-02005-4
Mays S (2012) An investigation of age-related changes at the acetabulum in 18th–19th century ad adult skeletons from Christ Church Spitalfields, London. Am J Phys Anthropol 149(4):485–492. https://doi.org/10.1002/ajpa.22146
doi: 10.1002/ajpa.22146
pubmed: 23076982
Muñoz-Silva V, Sanabria-Medina C, Rissech C (2020) Application and analysis of the Rissech acetabular adult aging method in a Colombian sample. Int J Legal Med 134(6):2261–2273. https://doi.org/10.1007/s00414-020-02422-w
doi: 10.1007/s00414-020-02422-w
pubmed: 32914227
Shedge R, Kanchan T, Garg PK, Dixit SG, Warrier V, Khera P et al (2020) Computed tomographic analysis of medial clavicular epiphyseal fusion for age estimation in Indian population. Leg Med (Tokyo) 46:101735. https://doi.org/10.1016/j.legalmed.2020.101735
doi: 10.1016/j.legalmed.2020.101735
Shedge R, Kanchan T, Kumar Garg P, Gupta Dixit S, Warrier V, Krishan K (2021) Age estimation from sternebral fusion in an Indian population - a computed tomographic evaluation. Leg Med (Tokyo) 53:101951. https://doi.org/10.1016/j.legalmed.2021.101951
doi: 10.1016/j.legalmed.2021.101951
Warrier V, Kanchan T, Garg PK, Dixit SG, Krishan K, Shedge R (2022) CT-based evaluation of the acetabulum for age estimation in an Indian population. Int J Legal Med 136(3):785–795. https://doi.org/10.1007/s00414-021-02757-y
doi: 10.1007/s00414-021-02757-y
pubmed: 35001167
Tomar A (2016) Various classifiers based on their accuracy for age estimation through facial features. IRJET 3(7):1–4
Jibanpriya Devi L, Mazher Iqbal JL (2018) Efficient technique to estimate age using PCA & multi SVM classification. IJET 7(1.2):81–4. https://doi.org/10.14419/ijet.v7i1.2.8999
doi: 10.14419/ijet.v7i1.2.8999
Nakamura E, Miyao K, Ozeki T (1988) Assessment of biological age by principal component analysis. Mech Ageing Dev. 46:1–18. https://doi.org/10.1016/0047-6374(88)90109-1
doi: 10.1016/0047-6374(88)90109-1
pubmed: 3226152
Theologou E (2019) Principal component analysis of sexual dimorphism in human mandibles for identification purposes. University of Exeter, Exeter, Devon, UK
Byun J, Han Y, Gorlov IP, Busam JA, Seldin MF, Amos CI (2017) Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure. BMC Genomics 18(789):1–12
Lovejoy O, Meindl R, Mensforth R, Barton T (1985) Multifactorial determination of skeletal age at death: a method and blind tests of its accuracy. Am J Phys Anthropol 68:1–14. https://doi.org/10.1002/ajpa.1330680102
doi: 10.1002/ajpa.1330680102
pubmed: 4061595
Belghith M, Marchand E, Ben Khelil M, Rougé-Maillart C, Blum A, Martrille L (2021) Age estimation based on the acetabulum using global illumination rendering with computed tomography. Int J Legal Med 135(5):1923–1934. https://doi.org/10.1007/s00414-021-02539-6
doi: 10.1007/s00414-021-02539-6
pubmed: 33713164
3D Slicer image computing platform | 3D Slicer [Internet]. [cited 2022 Feb 7]. Available from: https://www.slicer.org/ . Accessed 1 Nov 2020
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S et al (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341. https://doi.org/10.1016/j.mri.2012.05.001
doi: 10.1016/j.mri.2012.05.001
pubmed: 22770690
pmcid: 3466397
Barrier P, Dedouit F, Braga J, Joffre F, Rougé D, Rousseau H et al (2009) Age at death estimation using multislice computed tomography reconstructions of the posterior pelvis. J Forensic Sci 54(4):773–778. https://doi.org/10.1111/j.1556-4029.2009.01074.x
doi: 10.1111/j.1556-4029.2009.01074.x
pubmed: 19486247
Altman DG (1990) Practical statistics for medical research. Chapman and Hall/CRC, New York, p 624
doi: 10.1201/9780429258589
Rougé-Maillart C, Telmon N, Rissech C, Malgosa A, Rougé D (2004) The determination of male adult age at death by central and posterior coxal analysis–a preliminary study. J Forensic Sci 49(2):208–214
doi: 10.1520/JFS2002056
Pattamapaspong N, Kanthawang T, Singsuwan P, Sansiri W, Prasitwattanaseree S, Mahakkanukrauh P (2019) Efficacy of three-dimensional cinematic rendering computed tomography images in visualizing features related to age estimation in pelvic bones. Forensic Sci Int 294:48–56. https://doi.org/10.1016/j.forsciint.2018.10.003
doi: 10.1016/j.forsciint.2018.10.003
pubmed: 30447487
Villa C, Buckberry J, Cattaneo C, Lynnerup N (2013) Technical note: reliability of Suchey-Brooks and Buckberry-Chamberlain methods on 3D visualizations from CT and laser scans. Am J Phys Anthropol 151(1):158–163. https://doi.org/10.1002/ajpa.22254
doi: 10.1002/ajpa.22254
pubmed: 23595646
Mukaka M (2012) A guide to appropriate use of correlation coefficient in medical research. Malawi Med J 24(3):69–71
pubmed: 23638278
pmcid: 3576830
Hinkle DE, Wiersma W, Jurs SG. Applied statistics for the behavioral sciences [cited 2021 Aug 10]. Available from: https://books.google.co.in/books/about/Applied_Statistics_for_the_Behavioral_Sc.html?id=7tntAAAAMAAJ&redir_esc=y . Accessed 5 Aug 2021
Khomkham P, Chotecharnont W, Srinuan P, Suriyasathaporn J, Srisaikaew P, Inchai C et al (2017) Association between age and acetabulum morphological changes in dry bones in the Thai population. Chiang Mai Med J 56(1):21–28
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(1):269–278. https://doi.org/10.1007/s00414-021-02651-7
doi: 10.1007/s00414-021-02651-7
pubmed: 34291317
Widek T, Genet P, Ehammer T, Schwark T, Urschler M, Scheurer E (2021) Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist. Forensic Sci Int 319:110654. https://doi.org/10.1016/j.forsciint.2020.110654
doi: 10.1016/j.forsciint.2020.110654
pubmed: 33360245
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(2):149–54. https://doi.org/10.1007/s00414-009-0398-8
doi: 10.1007/s00414-009-0398-8
pubmed: 20013127
Wittschieber D, Vieth V, Domnick C, Pfeiffer H, Schmeling A (2013) The iliac crest in forensic age diagnostics: evaluation of the apophyseal ossification in conventional radiography. Int J Legal Med 127(2):473–9. https://doi.org/10.1007/s00414-012-0763-x
doi: 10.1007/s00414-012-0763-x
pubmed: 23052440
Zhang K, Dong X-a, Chen X-G, Zhang L, Deng Z-H (2014) The ossification of the ischial tuberosity for forensic age diagnostics in conventional radiography. Australian J Forensic Sci 46(4):455–462. https://doi.org/10.1080/00450618.2014.891652
doi: 10.1080/00450618.2014.891652
Baccino E, Sinfield L, Colomb S, Baum TP, Martrille L (2014) Technical note: The two step procedure (TSP) for the determination of age at death of adult human remains in forensic cases. Forensic Sci Int 244:247–51. https://doi.org/10.1016/j.forsciint.2014.09.005
doi: 10.1016/j.forsciint.2014.09.005
pubmed: 25282468