Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
cytuj
pobierz pliki
RIS BIB ENDNOTEChoose format
RIS BIB ENDNOTEEstimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
Publication date: 08.05.2023
Problems of Forensic Sciences, 2022, 132, pp. 229 - 239
https://doi.org/10.4467/12307483PFS.22.012.17685Authors
Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
In forensic investigations estimation of age is a crucial part. Age estimation assists in narrow downing the search possibilities in the case of unidentified bodies and living individuals, it can also help in the determination of preparators and deciding the penalty for any criminal liability. Different body parts are often investigated at the crime scene, so estimating the age using different areas of the body is important. Hence, we conducted this study for age estimation from costal cartilage calcification. Only posterior-anterior (PA) digital chest radiographs are taken, and the first rib of the left side is evaluated. The degree of calcification and age showed a positive correlation; similarly, the value of Spearman’s rho showed significant results (for the whole sample =0.914, p < 0.01 (for male subjects was =0.925, p < 0.01. For females was =0.905, p < 0.01). The degree of calcification is useful in estimating age groups and becomes more determined with advancing age. Prediction of age using the radiological method gives the advantages of ease, inexpensiveness, rapidity, and high accuracy. In developing countries, this type of study will be very useful because infrastructure and lack of sources are major issues. The article provides a non-destructive method of age estimation in a forensic context that may act as a preliminary method of age estimation in mass disasters and dismembered bodies when a thoracic cage is only present.
1. Bednarek, J., Bloch-Bogusławska, E., Engelgardt, P., Wolska, E., Śliwka, K. (2009). Validity of histomorphometric rib assessment for age at death prediction. Problems of Forensic Sciences, 80, 403–410.
2. Dedouit, F., Bindel, S., Gainza, D., Blanc, A., Joffre, F., Rougé, D., Telmon, N. (2008). Application of the Iscan method to two- and three-dimensional imaging of the sternal end of the right fourth rib. Journal of Forensic Sciences, 53(2), 288–295. https://doi.org/10.1111/j.1556-4029.2007.00642.x.
3. Drake, R., Vogl, A. W., Mitchell, A. W. (2009). Gray’s anatomy for students E-book. Elsevier Health Sciences.
4. Drew, T., Evans, K., Võ, M. L.-H., Jacobson, F. L., Wolfe, J. M. (2013). Informatics in radiology: What can you see in a single glance and how might this guide visual search in medical images? RadioGraphics, 33(1), 263–274. https://doi.org/10.1148/rg.331125023.
5. Fischer, E. (1955). Verkalkungsformen der Rippenknorpel. RöFo – Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 82(4), 474–481. https://doi.org/10.1055/s-0029-1212570.
6. Garamendi, P. M., Landa, M. I., Botella, M. C., Alemán, I. (2011). Forensic age estimation on digital X-ray images: Medial epiphyses of the clavicle and first rib ossification in relation to chronological age. Journal of Forensic Sciences, 56(suppl. 1), 3–12. https://doi.org/10.1111/j.1556-4029.2010.01626.x.
7. Ikeda, T. (2017). Estimating age at death based on costal cartilage calcification. Tohoku Journal of Experimental Medicine, 243(4), 237–246. https://doi.org/10.1620/tjem.243.237.
8. Kampen, W. U., Ciaassen, H., Kirsch, T. (1995). Mineralization and osteogenesis in the human first rib cartilage. Annals of Anatomy – Anatomischer Anzeiger, 177(2), 171–177. https://doi.org/10.1016/S0940-9602(11)80069-5.
9. Karaman, B., Battal, B., Bozkurt, Y., Kantarci, M. N., Gümüş, S., Özcan, M. E., Açikel, C. H. (2012). Age determination in Turkish people based on the calcification degree of the first costal cartilage. Turkiye Klinikleri Journal of Medical Sciences, 32(5), 1361–1367. https://doi.org/10.5336/medsci.2011-27529.
10. King, J. B. (1939). Calcification of the costal cartilages. The British Journal of Radiology, 12(133), 2–12. https://doi.org/10.1259/0007-1285-12-133-2.
11. Kubicka, A. M., Piontek, J. (2016). Sex estimation from measurements of the first rib in a contemporary Polish population. International Journal of Legal Medicine, 130(1), 265–272. https://doi.org/10.1007/s00414-015-1247-6.
12. Lehmann-Leo, C. D., Ramsthaler, F., Birngruber, C. G., Verhoff, M. A. (2022). Assessment of renal glomerulosclerosis and thickness of the carotid intima-media complex as a means of age estimation in Western European bodies. International Journal of Legal Medicine, 136(3), 753–763. https://doi.org/10.1007/s00414-021-02705-w.
13. Leo, C., O’Connor, J. E., McNulty, J. P. (2013). Combined radiographic and anthropological approaches to victim identification of partially decomposed or skeletal remains. Radiography, 19(4), 353–362. https://doi.org/10.1016/j.radi.2013.07.008.
14. Lorkiewicz-Muszyńska, D., Przystańska, A., Kulczyk, T., Hyrchała, A., Bartecki, B., Kociemba, W., Glapiński, M., Łabęcka, M., Świderski, P. (2015). Application of X-rays to dental age estimation in medico-legal practice. Archiwum Medycyny Sądowej i Kryminologii, 1(1), 1–16. https://doi.org/10.5114/amsik.2015.51602.
15. McCormick, W. F., Stewart, J. H., Langford, L. A. (1985). Sex determination from chest plate roentgenograms. American Journal of Physical Anthropology, 68(2), 173–195. https://doi.org/10.1002/ajpa.1330680205.
16. Michelson, N. (1934). The calcification of the first costal cartilage among whites and negroes. Human Biology, 6(3), 543.
17. Middleham, H. P., Boyd, L. E., McDonald, S. W. (2015). Sex determination from calcification of costal cartilages in a Scottish sample. Clinical Anatomy, 28(7), 888–895. https://doi.org/10.1002/ca.22491.
18. Patyal, S., Bhatia, T., Patyal, N. (2020). Sex prediction by costal cartilage using chest radiograph. Himalayan Journal of Applied Medical Sciences and Research, 1(2), 30–31.
19. Patyal, S., Tejasvi, B. (2021). Artificial intelligence with radio-diagnostic modalities in forensic science – a systematic review. CEUR Workshop Proceedings, 3058.
20. Pushpa, M. S., Kulkarni, R., Sheshgiri, C. (2013). Study of 1st costal cartilage calcification on radiographs in South Indian population as an indicator of age of human-beings. Research & Reviews: Journal of Medical and Health Sciences. 2(3), 69–76.
21. Ray, D. K., Bardhan, D. J., Sarkar, D. K. N. (2017). A study of calcification of costal cartilages (1st to 7th) in different age groups and its effect on chest expansion in both male and female. IOSR Journal of Dental and Medical Sciences, 16(3), 115–123. https://doi.org/10.9790/0853-160307115123.
22. Rejtarová, O., Slízová, D., Smoranc, P., Rejtar, P., Bukac, J. (2004). Costal cartilages – a clue for determination of sex. Biomedical Papers of the Medical Faculty of the University Palacký, Olomouc, Czechoslovakia, 148(2), 241–243. https://doi.org/10.5507/bp.2004.050.
23. Sobol, J., Ptaszyñska-Sarosiek, I., Charuta, A., Oklota-Horba, M., Zaba, C. Z., Niemcunowicz-Janica, A. (2015). Estimation of age at death: Examination of variation in cortical bone histology within the human clavicle. Folia Morphologica, 74(3), 378–388. https://doi.org/10.5603/FM.2015.0021.
24. Teale, C., Romaniuk, C., Mulley, G. (1989). Calcification on chest radiographs: The association with age. Age and Ageing, 18(5), 333–336.
25. Vastine 2nd, J. H., Vastine, M. F., Arango, O. (1948). Myositis ossificans progressiva in monozygotic twins. The American Journal of Roentgenology and Radium Therapy, 59(2), 204–212.
26. Zhang, K., Fan, F., Tu, M., Cui, J., Li, J., Peng, Z., Deng, Z. (2018). The role of multislice computed tomography of the costal cartilage in adult age estimation. International Journal of Legal Medicine, 132(3), 791–798. https://doi.org/10.1007/s00414-017-1646-y.
Information: Problems of Forensic Sciences, 2022, 132, pp. 229 - 239
Article type: Original article
Titles:
Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh
Lovely Professional University
Jallandhar, India, India
Lovely Professional University
Jallandhar, India, India
Published at: 08.05.2023
Received at: 26.10.2022
Accepted at: 18.11.2022
Article status: Open
Licence: CC BY-NC-ND
Percentage share of authors:
Article corrections:
-Publication languages:
English, PolishView count: 373
Number of downloads: 303
Suggested citations: Vancouver