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  • Küçük Resim
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    Forensic age estimation by the Schmeling method: computed tomography analysis of the medial clavicular epiphysis
    (Springer, 2015) Ekizoğlu, Oğuzhan; Hocaoglu, Elif; İnci, Ercan; Sayin, İbrahim; Solmaz, Dilek; Bilgili, Mustafa Gökhan; Can, İsmail Özgür
    The variability of anthropometric measures, such as the degree of ossification, among societies should be taken into account when estimating age. The degree of ossification of the medial clavicle can be determined with thin-section computed tomography (CT), which is one of the methods recommended by the Study Group on Forensic Age Diagnostics of the German Association of Forensic Medicine. The purpose of this retrospective study was to investigate the applicability of thin-section CT analysis of the degree of ossification of the medial clavicle in a Turkish population. We evaluated the CT images (1-mm slice thickness) of 503 patients (362 male, 141 female; age, 10-35 years) using the Schmeling five-stage method. The Spearman's correlation analysis revealed a positive correlation between age and ossification stage in both male and female patients (total group: rho = 0.838, p < 0.001; male: rho = 0.831, p < 0.001; female: rho = 0.856, p < 0.001). The linear regression analysis results indicated that the ossification stage of the medial clavicle is a good predictor when estimating age (r (2) = 0.735 for all patients, 0.734 for male patients, 0.741 for female patients). Sex differences in ossification stages were observed only for stage 1 and 4 ossification. We believe that future research could expand the database on this topic and contribute to improvements in this measurement method.
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    Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography
    (Lippincott Williams & Wilkins, 2014) Ekizoğlu, Oğuzhan; Hocaoglu, Elif; İnci, Ercan; Bilgili, Mustafa Gökhan; Solmaz, Dilek; Erdil, Irem; Can, İsmail Özgür
    We aimed to show the utility and reliability of sternal morphometric analysis for sex estimation. Sex estimation is a very important step in forensic identification. Skeletal surveys are main methods for sex estimation studies. Morphometric analysis of sternum may provide high accuracy rated data in sex discrimination. In this study, morphometric analysis of sternum was evaluated in 1mm chest computed tomography scans for sex estimation. Four hundred forty 3 subjects (202 female, 241 male, mean age: 44 +/- 8.1 [ distribution: 30-60 year old]) were included the study. Manubrium length (ML), mesosternum length (2L), Sternebra 1 (S1W), and Sternebra 3 (S3W) width were measured and also sternal index (SI) was calculated. Differences between genders were evaluated by student t-test. Predictive factors of sex were determined by discrimination analysis and receiver operating characteristic (ROC) analysis. Male sternalmeasurement values are significantly higher than females (P< 0.001) while SI is significantly low in males (P< 0.001). In discrimination analysis, MSL has high accuracy rate with 80.2% in females and 80.9% in males. MSL also has the best sensitivity (75.9%) and specificity (87.6%) values. Accuracy rates were above 80% in 3 stepwise discrimination analysis for both sexes. Stepwise 1(ML, MSL, S1W, S3W) has the highest accuracy rate in stepwise discrimination analysis with 86.1% in females and 83.8% in males. Our study showed that morphometric computed tomography analysis of sternum might provide important information for sex estimation.