Related Experiment Video
Updated: Apr 11, 2026

08:20
Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries
Published on: March 31, 2021
7.1K
Proximal caries lesion detection using the Canary Caries Detection System: an in vitro study
Janja Jan1, Wan Zaripah Wan Bakar2, Sapna M Mathews3
1Department of Cariology and Endodontics, University of Ljubljana, Ljubljana, Slovenia. janja.jan@mf.uni-lj.si.
Journal of Investigative and Clinical Dentistry
|May 28, 2015
Summary
The Canary System (CS) shows superior accuracy in detecting proximal caries compared to the International Caries Detection and Assessment System (ICDAS) II and bitewing radiography (BW). This advanced system offers higher sensitivity for early caries detection.
Area of Science:
- Dentistry
- Oral Health
- Diagnostic Imaging
Background:
- Accurate detection of proximal caries is crucial for timely intervention.
- Conventional methods like ICDAS II and bitewing radiography have limitations in sensitivity and specificity.
Purpose of the Study:
- To evaluate the diagnostic accuracy of the Canary System (CS) for detecting proximal caries in vitro.
- To compare the performance of CS against ICDAS II and bitewing radiography.
Main Methods:
- Extracted human teeth with visible proximal surfaces were assessed using ICDAS II.
- Proximal surfaces in manikin mouth models were evaluated with bitewing radiography (BW) and CS.
- Histological analysis served as the gold standard for validation.
Main Results:
- CS demonstrated significantly higher sensitivity (0.933) than ICDAS II (0.733) and BW (0.267).
- Area Under the Curve (AUC) for CS (0.862) was significantly higher than for ICDAS II (0.681) and BW (0.577).
- No significant differences were found in specificity values among the methods.
Conclusions:
- The Canary System (CS) exhibits superior accuracy in detecting proximal caries lesions compared to ICDAS II and BW.
- CS offers improved sensitivity for proximal caries detection, aiding in earlier diagnosis and treatment planning.

