Sex estimation of the sternum
by automatic image processing
of multi-slice computed
tomography images in a
Croatian population sample: a
retrospective study

Bedalov, Ana; Bašić, Željana; Marelja, Ivan; Dolić, Krešimir; Bukarica, Krešimir; Missoni, Saša; Šlaus, Mario; Primorac, Dragan; Anđelinovic, Šimun; Kružić, Ivana

doi:10.3325/cmj.2019.60.237

prikaz prve stranice dokumenta Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study

Scientific paper - Original scientific paper

Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study

Croatian Medical Journal, 60 (2019), 3; 237-245. https://doi.org/10.3325/cmj.2019.60.237

Bedalov, Ana; Bašić, Željana; Marelja, Ivan; Dolić, Krešimir; Bukarica, Krešimir; Missoni, Saša; Šlaus, Mario; Primorac, Dragan; Anđelinovic, Šimun; Kružić, Ivana

Cite this document

APA 6th Edition

Bedalov, A., Bašić, Ž., Marelja, I., Dolić, K., Bukarica, K., Missoni, S. ... Kružić, I. (2019). Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study. Croatian Medical Journal, 60. (3), 237-245. doi: 10.3325/cmj.2019.60.237

MLA 8th Edition

Bedalov, Ana, et al. "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study." Croatian Medical Journal, vol. 60, no. 3, 2019, pp. 237-245. https://doi.org/10.3325/cmj.2019.60.237

Chicago 17th Edition

Bedalov, Ana, Željana Bašić, Ivan Marelja, Krešimir Dolić, Krešimir Bukarica, Saša Missoni, Mario Šlaus, Dragan Primorac, Šimun Anđelinovic and Ivana Kružić. "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study." Croatian Medical Journal 60, no. 3 (2019): 237-245. https://doi.org/10.3325/cmj.2019.60.237

Harvard

Bedalov, A., et al. (2019) 'Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study', Croatian Medical Journal, 60(3), pp. 237-245. doi: 10.3325/cmj.2019.60.237

Vancouver

Bedalov A, Bašić Ž, Marelja I, Dolić K, Bukarica K, Missoni S, and sur.. Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study. Croatian Medical Journal [Internet]. 2019 [cited 2024 December 13];60(3):237-245. doi: 10.3325/cmj.2019.60.237

IEEE

A. Bedalov, et al., "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study", Croatian Medical Journal, vol. 60, no. 3, pp. 237-245, 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:227:590794. [Accessed: 13 December 2024]

Cite this item: https://urn.nsk.hr/urn:nbn:hr:227:590794

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Metadata

Title (english)	Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study
Author	Ana Bedalov
Author	Željana Bašić
Author	Ivan Marelja
Author	Krešimir Dolić
Author	Krešimir Bukarica
Author	Saša Missoni
Author	Mario Šlaus
Author	Dragan Primorac
Author	Šimun Anđelinovic
Author	Ivana Kružić
Author's institution	University of Zagreb
Author's institution	(Croatian Academy of Sciences and Arts)
Author's institution	Institute for Anthropological Research
Author's institution	(University Hospital of Split)
Author's institution	University of Split School of Medicine
Author's institution	University of Split University Department of Forensic Sciences
Scientific / art field, discipline and subdiscipline	BIOMEDICINE AND HEALTHCARE Basic Medical Sciences
Scientific / art field, discipline and subdiscipline	BIOMEDICINE AND HEALTHCARE Clinical Medical Sciences
Scientific / art field, discipline and subdiscipline	HUMANISTIC SCIENCES Ethnology and Anthropology
Abstract (english)	Aim To determine the sexual dimorphism of the sternum with standard measurements in a contemporary Croatian population sample using multi-slice computed tomography (MSCT) and to compare the data obtained by an automatic with those obtained by a manual approach. Methods Five sternal measurements were obtained from MSCT images of 73 men and 55 women and three sternal indices were calculated. Custom image analysis software was developed for automatic segmentation and calculation of sternal measurements. Measurements of sexual dimorphism were automatically calculated and compared with manual measurements. Results All of the sternal measurements exhibited significant differences between men and women. The discrepancies between manual and automatic measurements ranged from 2.8% to 3.6% of the mean average values obtained with the automatic approach. The most accurate single-variable discriminant function was sternal body length (82.8%), the most accurate index was sternal area (89.1%), and the discriminant function using three variables was manubrium width, sternal body length, and sternal body width (90.6%). Conclusion Sternal measurements are a reliable sex indicator and can be used in forensic casework. Computer-aided measurement methods can accelerate sex estimation and improve its precision and accuracy.
Language	english
Publication type	Scientific paper - Original scientific paper
Publication status	Published
Peer review	Peer review - international
Publication version	Published version
Journal title	Croatian Medical Journal
Numbering	vol. 60, no. 3, pp. 237-245
p-ISSN	0353-9504
e-ISSN	1332-8166
DOI	https://doi.org/10.3325/cmj.2019.60.237
URN:NBN	urn:nbn:hr:227:590794
Publication	2019
Document URL	https://hrcak.srce.hr/240034
Type of resource	Text
Access conditions	Open access
Terms of use
Created on	2024-06-10 12:41:46