临床盆腔MDCT扫描的形态学观察:评估西澳大利亚人口性别估计的Phenice特征的准确性

Eden Johnstone-Belford, Ambika Flavel, Daniel Franklin
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引用次数: 15

摘要

法医人类学家在分析遗骨时,通常首先要做的是形成生物轮廓(包括对性别和年龄的估计)。最近的文献证明,越来越多的人意识到,在高分辨率多探测器计算机断层扫描(MDCT)扫描中,研究与年龄和性别相关的形态学特征的价值。本研究提供了对MDCT扫描分析的见解,特别侧重于量化西澳大利亚人口中Phenice性别估计方法的准确性。样本包括448例临床盆腔MDCT扫描,代表年龄在18至64岁之间的226例男性和222例女性。在OsiriX软件中使用三维体渲染模型重建扫描(切片厚度均≤ 1.5 mm)。在数据收集之前进行精度测试,以量化观察者的一致性;此后,对腓尼斯骨盆特征(坐骨耻骨支)鉴定的准确性;腹侧弧;耻骨下凹)被统计量化。每个被评估的形态属性的观察者内部一致性都在0.81 (Kappa值)以上。与之前的研究一致,最准确的特征是腹侧弧线(86.61%),尽管在分类准确性上存在年龄相关的性别偏见。基于这三个特征的综合评估,证明了Phenice方法在性别分类方面具有很高的预期准确率(92.24%),从而表明该方法可以成功地应用于MDCT扫描,适用于西澳大利亚人群的法医应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphoscopic observations in clinical pelvic MDCT scans: Assessing the accuracy of the Phenice traits for sex estimation in a Western Australian population

The formation of a biological profile (including the estimation of sex and age) is usually the first task undertaken when skeletal remains are analysed by a forensic anthropologist. Recent literature attests to a growing awareness of the value of research focusing on age and sex related morphoscopic features visualized in high resolution multiple detector computerized tomography (MDCT) scans. The present study provides insight into the analysis of MDCT scans, with a specific focus on quantifying the accuracy of the Phenice sex estimation method in a Western Australian population.

The sample comprises 448 clinical pelvic MDCT scans representing 226 male and 222 female individuals between 18 and 64 years of age. The scans (all ≤ 1.5 mm slice thickness) are reconstructed using three-dimensional volume rendered models in OsiriX software. A precision test was performed prior to data collection to quantify observer accordance; thereafter the accuracy of the identification of the Phenice pelvic traits (ischiopubic ramus; ventral arc; subpubic concavity) are statistically quantified.

Intra-observer accordance is above 0.81 (Kappa value) for each morphological attribute assessed. Congruent with previous research the single most accurate trait overall is the ventral arc (86.61%), albeit an age-related sex-bias in classification accuracy was demonstrated. Based on the combined assessment of the three features, it is demonstrated that the Phenice method facilitates a high degree of expected accuracy in the classification of sex (92.24%), thus indicating that the method can be successfully applied in MDCT scans and is suitable for forensic application in a Western Australian population.

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来源期刊
Journal of Forensic Radiology and Imaging
Journal of Forensic Radiology and Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
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1.70
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