School of Dentistry, Federal University of Ceará, Ceará, Brazil.
School of Dentistry, Federal University of Ceará, Campus Sobral, Sobral, Brazil.
Dentomaxillofac Radiol. 2021 Sep 1;50(6):20200490. doi: 10.1259/dmfr.20200490. Epub 2021 Mar 18.
To evaluate the accuracy of the measurements of the maxillary sinus (MS) and frontal sinus (FS) in sex estimation among Brazilian adults using multislice computed tomography (MCT) and to develop and cross-validate a new formula for sex estimation.
The present cross-sectional research was conducted in two phases: (1) development of a formula on the basis of the measurements of both the sinuses (50 males and 50 females); and (2) validation study (20 males and 20 females). The linear measurements (height, width and diameter) were assessed using the RadiAnt DICOM software. A new formula for sex estimation was developed (multivariate statistical approach) and validated. Receiver operating characteristic curves, area under the curve, sensitivity, specificity, positive and negative predictive values, accuracy and likelihood ratio were estimated.
Males displayed higher mean values (width, height and diameter) of the FS and MS ( < 0.05). The MS was a better predictor in sex estimation (males females), compared to the FS (accuracy between 61-74% and 58-69%, respectively). The distance between the right and left MS displayed the highest accuracy (74%). The sensitivity, specificity and accuracy of the new formula were 80%, 95.5% and 87.5%, respectively. 63.1% reduction was observed in the number of predictive values for sex estimation (individuals older than 30 years).
The present MCT measurements showed a higher accuracy in the estimation of sex in males. The highest accuracy was associated with the distance between the right and left MS. The new formula displayed high precision for sex estimation.
使用多层计算机断层扫描(MCT)评估巴西成年人上颌窦(MS)和额窦(FS)测量在性别估计中的准确性,并开发和交叉验证新的性别估计公式。
本横断面研究分为两个阶段进行:(1)基于两个鼻窦(50 名男性和 50 名女性)的测量值制定公式;(2)验证研究(20 名男性和 20 名女性)。线性测量(高度、宽度和直径)使用 RadiAnt DICOM 软件进行评估。开发了一种新的性别估计公式(多变量统计方法)并进行了验证。估计了接收器工作特性曲线、曲线下面积、敏感性、特异性、阳性和阴性预测值、准确性和似然比。
男性 FS 和 MS 的平均宽度、高度和直径值较高(<0.05)。MS 在性别估计中的预测能力优于 FS(准确性分别为 61-74%和 58-69%)。左右 MS 之间的距离显示出最高的准确性(74%)。新公式的敏感性、特异性和准确性分别为 80%、95.5%和 87.5%。用于性别估计的预测值数量减少了 63.1%(年龄大于 30 岁的个体)。
本 MCT 测量结果显示,男性性别估计的准确性更高。最高的准确性与左右 MS 之间的距离有关。新公式在性别估计中具有较高的精度。