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
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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; Andjelinović, Šimun; Kružić, Ivana

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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

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

Bedalov, Ana, Željana Bašić, Ivan Marelja, Krešimir Dolić, Krešimir Bukarica, Saša Missoni, Mario Šlaus, Dragan Primorac, Šimun Andjelinović 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

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

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 November 15];60(3):237-245. doi: 10.3325/cmj.2019.60.237

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:184:819248. [Accessed: 15 November 2024]

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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
AuthorAna Bedalov
AuthorŽeljana Bašić
MBZ: 329586
AuthorIvan Marelja
AuthorKrešimir Dolić
MBZ: 345244
AuthorKrešimir Bukarica
AuthorSaša Missoni
MBZ: 252184
AuthorMario Šlaus
MBZ: 189976
AuthorDragan Primorac
MBZ: 212641
AuthorŠimun Andjelinović
AuthorIvana Kružić
MBZ: 319324
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Biology and Medical Genetics)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleCroatian medical journal
Numberingvol. 60, no. 3, pp. 237-245
p-ISSN0353-9504
DOIhttps://doi.org/10.3325/cmj.2019.60.237
URN:NBNurn:nbn:hr:184:819248
Publication2019
Document URLhttp://bib.irb.hr/1006813
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2022-03-08 15:26:48