Assessment of Digital Technologies for Detection of Dental Caries

University Hospital, Martin100 enrolled

Overview

This study aims to evaluate and compare different digital diagnostic technologies used for the detection of dental caries in clinical practice. The study focuses on assessing the diagnostic accuracy of various methods, including visual examination and digital diagnostic tools, in identifying dental caries in patients. The results will contribute to improving early detection and diagnostic strategies in dentistry.

Dental caries remains one of the most prevalent oral diseases worldwide. Early and accurate detection is essential for effective treatment and prevention of disease progression. This observational study aims to assess and compare the effectiveness of different diagnostic technologies used in routine dental practice. Participants undergoing dental examination will be evaluated using conventional diagnostic methods and selected digital diagnostic technologies. The diagnostic performance of each method will be analyzed and compared based on their ability to detect carious lesions. The study will be conducted in clinical settings, including university hospital and private dental clinic environments. The results are expected to provide insights into the advantages and limitations of modern diagnostic technologies in dentistry and support their appropriate use in clinical practice.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

100

Conditions

Dental Caries

Interventions

Diagnostic methods for dental cariesDIAGNOSTIC_TEST

Diagnostic assessment of dental caries using digital technologies, including intraoral imaging, radiographic methods, AI based analysis and transillumination (Diagnocam), followed by clinical verification

Eligibility

Sex: ALLMin age: 18 YearsMax age: 65 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Age 18-65 years * Presence of permanent dentition only * Presence of primary or secondary carious lesions * Presence of all teeth in the lateral segment (teeth 4-7) in both maxilla and mandible * Signed informed consent including agreement with photodocumentation, bitewing radiographs, and use of AI-based diagnostic methods (including DIAGNOcam) Exclusion Criteria: * Age under 18 or over 65 years * Extensive crown destruction affecting more than two-thirds of the tooth * Carious lesions reaching the dental pulp or threatening pulp vitality * Inability or refusal to undergo radiographic examination (bitewing radiographs) * Teeth with fixed prosthetic restorations in the examined area Refusal to participate or to use AI-based diagnostic methods (including DIAGNOcam)

Locations (1)

Jessenius Faculty of Medicine

Martin, Žilina Region, Slovakia

RECRUITING

Outcomes

Primary Outcomes

Diagnostic accuracy of technologies for detection of dental caries

Assessment of sensitivity and specificity of diagnostic methods (including visual examination, intraoral imaging, radiographic methods (Bitewings), AI -based analysis and transillumination) compared to clinical references standard (cavity opening).

Time frame: Baseline/ Day 1

Central Contacts

Michal Augustín, MDDr.

CONTACT

+421903442708 augustin24@uniba.sk

Data from ClinicalTrials.gov

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