Kashiwazaki Kenta, Komagamine Yuriko, Namano Sahaprom, Park Ji-Man, Iwaki Maiko, Minakuchi Shunsuke, Kanazawa Manabu
Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry, Seoul, Republic of Korea.
J Adv Prosthodont. 2023 Dec;15(6):281-289. doi: 10.4047/jap.2023.15.6.281. Epub 2023 Dec 18.
This study aimed to predict the positional coordinates of incisor points from the scan data of conventional complete dentures and verify their accuracy.
The standard triangulated language (STL) data of the scanned 100 pairs of complete upper and lower dentures were imported into the computer-aided design software from which the position coordinates of the points corresponding to each landmark of the jaw were obtained. The x, y, and z coordinates of the incisor point (X, Y, and Z) were obtained from the maxillary and mandibular landmark coordinates using regression or calculation formulas, and the accuracy was verified to determine the deviation between the measured and predicted coordinate values. Y was obtained in two ways using the hamular-incisive-papilla plane (HIP) and facial measurements. Multiple regression analysis was used to predict Z. The root mean squared error (RMSE) values were used to verify the accuracy of the X and Y. The RMSE value was obtained after cross-validation using the remaining 30 cases of denture STL data to verify the accuracy of Z.
The RMSE was 2.22 for predicting X. When predicting Y, the RMSE of the method using the HIP plane and facial measurements was 3.18 and 0.73, respectively. Cross-validation revealed the RMSE to be 1.53.
Y and Z could be predicted from anatomical landmarks of the maxillary and mandibular edentulous jaw, suggesting that Y could be predicted with better accuracy with the addition of the position of the lower border of the upper lip.
本研究旨在从传统全口义齿的扫描数据预测切牙点的位置坐标并验证其准确性。
将扫描的100副上下颌全口义齿的标准三角网格语言（STL）数据导入计算机辅助设计软件，从中获取与颌骨每个标志点相对应的点的位置坐标。使用回归或计算公式从上下颌标志点坐标中获取切牙点的x、y和z坐标（X、Y和Z），并验证准确性以确定测量坐标值与预测坐标值之间的偏差。Y通过两种方式获得，分别使用翼钩 - 切牙乳头平面（HIP）和面部测量。使用多元回归分析预测Z。均方根误差（RMSE）值用于验证X和Y的准确性。使用剩余30例义齿STL数据进行交叉验证后获得RMSE值以验证Z的准确性。
预测X时RMSE为2.22。预测Y时，使用HIP平面和面部测量方法的RMSE分别为3.18和0.73。交叉验证显示RMSE为1.53。
可以从上颌和下颌无牙颌的解剖标志点预测Y和Z，这表明增加上唇下缘的位置可以更准确地预测Y。
