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

NCT04812405 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 58

Last updated 2021-03-23

No results posted yet for this study

Summary

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.

Conditions

  • Healthy Patients

Interventions

DIAGNOSTIC_TEST

Trios4

Examination of occlusal surfaces with 3D scanner and optical criteria

Sponsors & Collaborators

  • National and Kapodistrian University of Athens

    lead OTHER

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-06-03
Primary Completion
2020-11-15
Completion
2021-03-10

Countries

  • Greece

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04812405 on ClinicalTrials.gov