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Pregled bibliografske jedinice broj: 1006813

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; Andjelinović, Šimun; Kružić, Ivana
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 doi:10.3325/cmj.2019.60.237 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1006813 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

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

Izvornik
Croatian medical journal (0353-9504) 60 (2019), 3; 237-245

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Sternum ; Sex estimation ; MSCT ; Computer-aided measurement

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Interdisciplinarne prirodne znanosti, Temeljne medicinske znanosti, Kliničke medicinske znanosti, Etnologija i antropologija

Napomena
Skup: 11th ISABS Conference on Forensic and Anthropological Genetics and Mayo Clinic Lectures in
Individualized
Medicine
Mjesto: Split, Hrvatska
Datum: 17-22.06.2019.



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Rijeka,
Hrvatska akademija znanosti i umjetnosti,
KBC Split,
Prirodoslovno-matematički fakultet, Split,
Institut za antropologiju,
Medicinski fakultet, Split,
Medicinski fakultet, Osijek,
Sveučilište u Splitu Sveučilišni odjel za forenzične znanosti,
Specijalna bolnica Sv. Katarina,
Fakultet za dentalnu medicinu i zdravstvo, Osijek

Poveznice na cjeloviti tekst rada:

doi neuron.mefst.hr www.cmj.hr

Citiraj ovu publikaciju:

Bedalov, Ana; Bašić, Željana; Marelja, Ivan; Dolić, Krešimir; Bukarica, Krešimir; Missoni, Saša; Šlaus, Mario; Primorac, Dragan; Andjelinović, Šimun; Kružić, Ivana
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 doi:10.3325/cmj.2019.60.237 (međunarodna recenzija, članak, znanstveni)
Bedalov, A., Bašić, Ž., Marelja, I., Dolić, K., Bukarica, K., Missoni, S., Šlaus, M., Primorac, D., Andjelinović, Š. & 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.
@article{article, author = {Bedalov, Ana and Ba\v{s}i\'{c}, \v{Z}eljana and Marelja, Ivan and Doli\'{c}, Kre\v{s}imir and Bukarica, Kre\v{s}imir and Missoni, Sa\v{s}a and \v{S}laus, Mario and Primorac, Dragan and Andjelinovi\'{c}, \v{S}imun and Kru\v{z}i\'{c}, Ivana}, year = {2019}, pages = {237-245}, DOI = {10.3325/cmj.2019.60.237}, keywords = {Sternum, Sex estimation, MSCT, Computer-aided measurement}, journal = {Croatian medical journal}, doi = {10.3325/cmj.2019.60.237}, volume = {60}, number = {3}, issn = {0353-9504}, title = {Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study}, keyword = {Sternum, Sex estimation, MSCT, Computer-aided measurement} }
@article{article, author = {Bedalov, Ana and Ba\v{s}i\'{c}, \v{Z}eljana and Marelja, Ivan and Doli\'{c}, Kre\v{s}imir and Bukarica, Kre\v{s}imir and Missoni, Sa\v{s}a and \v{S}laus, Mario and Primorac, Dragan and Andjelinovi\'{c}, \v{S}imun and Kru\v{z}i\'{c}, Ivana}, year = {2019}, pages = {237-245}, DOI = {10.3325/cmj.2019.60.237}, keywords = {Sternum, Sex estimation, MSCT, Computer-aided measurement}, journal = {Croatian medical journal}, doi = {10.3325/cmj.2019.60.237}, volume = {60}, number = {3}, issn = {0353-9504}, title = {Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study}, keyword = {Sternum, Sex estimation, MSCT, Computer-aided measurement} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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