State Key Laboratory of Oral Diseases, National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
School of Mathematics, Sichuan University, Sichuan University, Chengdu, Sichuan, China.
PeerJ. 2023 Feb 2;11:e14226. doi: 10.7717/peerj.14226. eCollection 2023.
Temporal filling is commonly used to correct temporal depression. However, there is a lack of quantitative criteria for pre- and post-operative evaluations. The use of three-dimensional scanning may help improving the success of temporal filling by providing quantitative assessments. The study aimed to compare the results of qualitative morphological evaluation of the temporal region with a quantitative, numerical analysis of the temporal difference value (TDV).
We enrolled twenty-six male and forty-nine female volunteers aged 18 to 29 years. Facial images were acquired in OBJ format using 3dMD facial stereo-photography. The morphologies of the temporal regions were separately evaluated by four researchers in the form of two-dimensional (2D) images. Results were classified as either aesthetic or unaesthetic. The quantitative evaluation of the temporal region was then conducted. First, the temporal region was trimmed out from the original 3D image into a new OBJ file. Second, interpolation was used to construct a smooth, adapted surface. Third, a mathematical model of temporal region flatness denoted as the TDV, which was defined as the sum of the Euclidean distances of all 3D points between the constructed surface and the temporal-region OBJ file. The classification of each sample was compared with its TDV to verify the mathematical model's validity. The cutoff threshold and prediction accuracy of this mathematical model were calculated.
The cutoff threshold between aesthetic and unaesthetic TDV was found to be 24.66 for males and 28.11 for females. The prediction accuracy rate was 0.73 for men and 0.73 for women.
The method has high overlap and good repeatability and minimizes the influence of subjective aesthetics on morphological judgment. TDV has a certain reference value for clinical temporal region evaluation.
颞部填充术常用于矫正颞部凹陷。然而,目前缺乏术前术后评估的定量标准。三维扫描的应用可以通过提供定量评估来帮助提高颞部填充的成功率。本研究旨在比较颞区形态学定性评估结果与颞区差值(TDV)的定量、数值分析结果。
我们招募了 26 名男性和 49 名年龄在 18 至 29 岁的女性志愿者。使用 3dMD 面部立体摄影术以 OBJ 格式获取面部图像。四位研究人员分别通过二维(2D)图像对颞区形态进行评估。结果分为美观和不美观。然后对颞区进行定量评估。首先,从原始 3D 图像中裁剪出颞区,生成新的 OBJ 文件。其次,进行插值以构建平滑、适配的表面。第三,建立一个表示颞区平整度的数学模型,即 TDV,它定义为构建表面与颞区 OBJ 文件之间所有 3D 点的欧几里得距离之和。将每个样本的分类与它的 TDV 进行比较,以验证数学模型的有效性。计算了该数学模型的截断阈值和预测准确率。
男性和女性中,美观和不美观 TDV 的截断阈值分别为 24.66 和 28.11。男性和女性的预测准确率均为 0.73。
该方法具有较高的重叠率和良好的可重复性,最大限度地减少了主观美学对形态判断的影响。TDV 对临床颞区评估具有一定的参考价值。