Department of Oral Diagnosis, College of Dentistry, Baghdad University, Iraq.
Forensic Sci Int. 2010 Apr 15;197(1-3):124.e1-7. doi: 10.1016/j.forsciint.2009.12.064. Epub 2010 Jan 22.
The present study was undertaken to test a simple system for the identification of unknown bodies using spiral CT images of frontal sinus and other skull measurements among selected Iraqi sample. Ninety patients (45 males and 45 females) with age range from 20 to 49 years were selected in this study. Three features and two groups of measurements of frontal sinus and three skull dimensions were obtained from the CT images. Three basic features were F (presence or absence of frontal sinus), S (septum) and S (scalloping). Measurements selected for the study were frontal sinus width, height and anteroposterior length. In addition to measurements of total width, the distance between the highest points of the two sinuses, the distance between the highest points of each sinus to its maximum lateral limit. Skull measurements included; maximum skull length, prostio-bregmatic height and maximum skull width. All data were subjected to a descriptive and discriminative analysis using the SPSS (Version 17.0). The pre-post comparison (number of discordant items) resulted in 95% accurately predicted perfect match for intra-examiner calibration and 90% accurately predicted perfect match for inter-examiners calibration and the result for one discordant item was 5% for intra-examiner calibration and 10% for inter-examiners calibration. The discriminative analysis showed that the ability of the frontal sinus to identify gender was 76.9%, adding the skull measurements to the frontal sinus measurements gave a higher overall classification accuracy for gender (85.9%). Frontal sinus measurements are valuable method in differentiating gender. Adding skull measurements to the frontal sinus measurements can significantly improve accuracy of gender determination using discriminant analysis. CT based films can provide valuable and precise measurements not only for frontal sinus but even for the whole skull that cannot be approached by other means.
本研究旨在测试一种简单的系统,通过对选定伊拉克样本的额窦螺旋 CT 图像和其他颅骨测量值来识别未知尸体。本研究选择了 90 名年龄在 20 至 49 岁之间的患者(45 名男性和 45 名女性)。从 CT 图像中获得了额窦的三个特征和两组测量值以及三个颅骨尺寸。三个基本特征是 F(额窦存在或不存在)、S(鼻中隔)和 S(锯齿状)。选择用于研究的测量值是额窦宽度、高度和前后长度。除了总宽度测量值外,还测量了两个窦最高点之间的距离、每个窦最高点与其最大外侧限之间的距离。颅骨测量值包括:最大颅骨长度、前脑桥高度和最大颅骨宽度。所有数据均使用 SPSS(版本 17.0)进行描述性和判别分析。预-后比较(不一致项目数)得出,内部检查者校准的准确率为 95%,可准确预测完美匹配,外部检查者校准的准确率为 90%,可准确预测完美匹配,内部检查者校准的一项不一致结果为 5%,外部检查者校准的一项不一致结果为 10%。判别分析表明,额窦识别性别的能力为 76.9%,将颅骨测量值添加到额窦测量值中,可显著提高性别分类的总体准确性(85.9%)。额窦测量值是区分性别的有价值方法。通过判别分析,将颅骨测量值添加到额窦测量值中,可以显著提高性别判断的准确性。基于 CT 的胶片不仅可以提供额窦的有价值和精确测量值,甚至可以提供其他方法无法获得的整个颅骨的测量值。