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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), 237-245 doi:10.3325/cmj.2019.60.237 (međunarodna recenzija, članak, znanstveni)


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); 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



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

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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