Automated Caries Detection Using a 3D Intraoral Scanner. An in Vivo Validation Study.

This in vivo study with in vitro validation assessed four different algorithms (ALG1-ALG4) implemented in the intraoral scanner system for automated caries detection and classification. 3D scans of the examined teeth were obtained both in vivo and vitro, i.e. before and after tooth extraction, in order to assess any possible differences in the performance of the algorithms at different conditions. The latter could potentially help drawing some conclusions regarding i) the validity of the in vitro studies assessing fluorescence method for caries detection, and ii) the in vivo applicability of in vitro results obtained in the past and the future. Additionally, visual-tactile examination using the ICDAS (ICDAS II) criteria19 was conducted on the same teeth in vivo and histological assessment was used as reference test in vitro.