The Journal of Advanced Prosthodontics

The Korean Academy of Prosthodonitics (대한치과보철학회)
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Prediction accuracy of incisal points in determining occlusal plane of digital complete dentures

  • Kenta Kashiwazaki (Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)) ;
  • Yuriko Komagamine (Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)) ;
  • Sahaprom Namano (Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)) ;
  • Ji-Man Park (Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry) ;
  • Maiko Iwaki (Digital Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)) ;
  • Shunsuke Minakuchi (Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)) ;
  • Manabu, Kanazawa (Digital Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU))
  • Received : 2023.07.15
  • Accepted : 2023.12.15
  • Published : 2023.12.29
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Abstract

PURPOSE. This study aimed to predict the positional coordinates of incisor points from the scan data of conventional complete dentures and verify their accuracy. MATERIALS AND METHODS. 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 (XP, YP, and ZP) 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. YP was obtained in two ways using the hamularincisive-papilla plane (HIP) and facial measurements. Multiple regression analysis was used to predict ZP. The root mean squared error (RMSE) values were used to verify the accuracy of the XP and YP. The RMSE value was obtained after crossvalidation using the remaining 30 cases of denture STL data to verify the accuracy of ZP. RESULTS. The RMSE was 2.22 for predicting XP. When predicting YP, 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. CONCLUSION. YP and ZP could be predicted from anatomical landmarks of the maxillary and mandibular edentulous jaw, suggesting that YP could be predicted with better accuracy with the addition of the position of the lower border of the upper lip.

Keywords

Acknowledgement

This study received financial support from Emium Co., Ltd. (Tokyo, Japan) and Core Concept Technology Co., Ltd. (Tokyo, Japan), although the data interpretation and presentation of the information were not influenced by this personal or financial relationship.

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