Alarabi Abdulghani M, Revie Gavin F, Bearn David R
University of Dundee, School of Dentistry, Department of Orthodontics, Dundee, UK.
University of Dundee, School of Dentistry, Department of Statistics, Dundee, UK.
Int Orthod. 2019 Jun;17(2):312-323. doi: 10.1016/j.ortho.2019.03.014. Epub 2019 Apr 22.
Discrepancy of the upper dental midline to the facial midline plays an important role in smile aesthetic assessment. This study presents different reference points to quantify the deviation of upper dental midline to the facial midline in 2D frontal photographs. The aim was to find the most accurate, precise, and practical reference points to measure dental midline discrepancy in 2D photographs.
A modified headset with a protractor was developed in order to achieve photographs in nine standardised head positions. Six reference points were used to detect the facial midline in the 2D photographs (eyebrows "EB", inner-canthus of the eyes "ICE", alae of the nose "AN", columella "C", nasolabial folds "NLF", and the philtrum "PH"). The deviation of the maxillary dental midline from the facial midline was measured and compared with clinical measurements.
Standard deviations (SD), Root Mean Square Error (RMSE), Method of Moments' Estimator (MME), 2-way repeated measures ANOVA, and multi-level linear model were used to estimate the true errors.
The different reference points responded significantly differently to changes in head position and all showed measurement errors, which increased with greater head rotation. Alae of the nose showed the least measurement error and the greatest precision in all head positions.
The alae of the nose are the recommended reference points to identify the facial midline in order to quantify dental midline deviation from frontal photographs.
上颌牙中线与面部中线的差异在微笑美学评估中起着重要作用。本研究提出了不同的参考点,以量化二维正面照片中上颌牙中线与面部中线的偏差。目的是找到最准确、精确和实用的参考点,用于测量二维照片中的牙中线差异。
开发了一种带有量角器的改良头戴装置,以便在九个标准化头部位置拍摄照片。使用六个参考点来检测二维照片中的面部中线(眉毛“EB”、内眼角“ICE”、鼻翼“AN”、鼻小柱“C”、鼻唇沟“NLF”和人中“PH”)。测量上颌牙中线与面部中线的偏差,并与临床测量结果进行比较。
使用标准差(SD)、均方根误差(RMSE)、矩估计法(MME)、双向重复测量方差分析和多级线性模型来估计真实误差。
不同的参考点对头部位置的变化反应差异显著,并且都显示出测量误差,随着头部旋转角度的增大,误差也会增加。在所有头部位置中,鼻翼的测量误差最小,精度最高。
鼻翼是用于识别面部中线的推荐参考点,以便从正面照片中量化牙中线偏差。