Dentistry Department, Maringá State University, Maringá, PR, Brazil.
Dentistry Department, Maringá State University, Maringá, PR, Brazil.
J Forensic Leg Med. 2023 Nov;100:102611. doi: 10.1016/j.jflm.2023.102611. Epub 2023 Nov 4.
develop and validate a formula, through a discriminant analysis of sex estimation, evaluating maxillary sinus in cone beam computed tomography scans in a Brazilian population, comparing this formula with two other existing ones.
190 cone beam CT scans of Brazilian adults were retrospectively evaluated by an independent examiner. Measurements were performed in the right and left MS region: height, width, length, distance between the breasts, distance between infraorbital foramina, and volume in the ITK software. The sample was divided into female and male. T test, ANOVA, Tukey test and the ROC Curve was performed (p > 0,05).
statistically significant differences were found in relation to the maximum height of the MS both right (p = 0,001) and left (p = 0,026) between sexes and the maximum length in the right MS (p = 0,01). Regarding the comparison of MS volume according to the different analysis methods, statistically significant differences were found between sexes for the right MS when using the method by Bangi et al. (p = 0,012) and the volume of the left MS in females (p < 0,001). Comparing the three classification models, statistically significant differences were found between the proposed method and the classification by Bangi et al. (p < 0.007). The ROC curve showed greater accuracy in the classification proposed in this work.
the new proposed formula obtained better predictions of sexual dimorphism, when compared to classifications already described in the literature.
通过判别分析对性别进行评估,开发并验证一个公式,以评估巴西人群中锥形束 CT 扫描上颌窦,将该公式与另外两个现有公式进行比较。
对 190 名巴西成年人的锥形束 CT 扫描进行回顾性评估,由独立检查者进行。在右侧和左侧 MS 区域进行测量:高度、宽度、长度、乳房之间的距离、眶下孔之间的距离和 ITK 软件中的体积。样本分为女性和男性。进行 t 检验、方差分析、Tukey 检验和 ROC 曲线(p>0.05)。
发现右侧(p=0.001)和左侧(p=0.026)MS 的最大高度以及右侧 MS 的最大长度在性别之间存在统计学显著差异(p=0.01)。关于根据不同分析方法比较 MS 体积,当使用 Bangi 等人的方法(p=0.012)和女性左侧 MS 体积(p<0.001)时,在性别之间发现 MS 体积存在统计学显著差异。在比较三种分类模型时,发现所提出的方法与 Bangi 等人的分类之间存在统计学显著差异(p<0.007)。ROC 曲线显示,与文献中已经描述的分类相比,所提出的新公式在性别二态性的分类中具有更高的准确性。
与文献中已经描述的分类相比,新提出的公式对性别二态性的预测更好。