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

National and Kapodistrian University of Athens58 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

BASIC_SCIENCE

Masking

NONE

Enrollment

Conditions

Healthy Patients

Interventions

Eligibility

Sex: ALL

Medical Language ↔ Plain English

Inclusion Criteria: * Patients with permanent molars / premolars, * Sound teeth or with caries lesions on the occlusal surfaces. Exclusion Criteria: * Front teeth / deciduous teeth * Teeth with fillings * Teeth with broken crown * Teeth with extensive lesions on the lateral surfaces.

Outcomes

Primary Outcomes

Agreement of In vivo validation with in vitro caries detection

To assess the difference in vivo and in vitro the fluorescence emitted of the TRIOS FLUO intraoral scanner from occlusal surface from 3rd molar before and after extraction

Time frame: 1 year