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

National and Kapodistrian University of Athens

Status: Completed

Conditions: Healthy Patients

Treatments: Diagnostic Test: Trios4

Study type: Interventional

Funder types: Other

Identifiers

NCT04812405

385

Details and patient eligibility

About

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.

Enrollment: 58 patients

Sex: All

Volunteers: No Healthy Volunteers

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.

Trial design

Primary purpose: Basic Science

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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58 participants in 1 patient group

Teeth

Other group

Description:

Occlusal examination

Treatment:

Diagnostic Test: Trios4