IADR Abstract Archives

Comparative Evaluation of Dental Plaque Indication Methods

Objectives: Dental plaque (DP) indication is considered among the most effective methods of motivating oral hygiene. This study compares two methods of indication: Qscan plus (Q+) device and disclosing tablets (DT).
Methods: Q+ is based on quantitative light-induced fluorescence (QLF) technology which allows visualising porphyrin-containing DP associated with pathogenic anaerobic bacteria.
DT are erythrosine-based.
60 patients aged 5-21 years were examined and divided into two groups: 30 aged 17-21 (1st group) and 30 aged 5-7 (2nd group).
The study procedure included examining and photographing 6 anterior teeth of the upper and lower jaw using Q+ (both groups) and DT (1st group), questioning (1st group) and creating two “maps” of DP distribution. One shows pathogenic DP visible in Q+; the other shows DP disclosed with tablets.
Results: The area of DP detected by DT is significantly larger than the area of fluorescent plaque seen in Q+.
In the 1st group, the largest accumulations of DP porphyrins were found in the lower jaw anterior teeth interdental spaces (31-33 and 41-43) and on the canines (13, 23, 33, 43).
In the 2nd group, pathogenic DP was mostly detected in the lower jaw anterior teeth interdental spaces (73-83) and on the upper and lower jaw anterior teeth cervical areas.
86.67% of the participants would prefer to use the Q+ as a personal plaque indicator.
Conclusions: Based on the modeling of dental plaque distribution maps indicated by different methods, it was concluded that pathogenic dental plaque covers a smaller area than plaque generally.
The study participants favored dental plaque optical indication by using the QScan Plus device over the more traditional staining method.

2021 Continental European and Scandinavian Divisions Meeting (Brussels, Belgium, Hybrid)
Brussels, Belgium, Hybrid
2021
0247.3
Oral Health Research
  • Grosser, Vladimir  ( Pirogov Russian National Research Medical University , Moscow , Russian Federation )
  • Sarap, Larisa  ( Altai State Medical University , Barnaul , Russian Federation )
  • Nikolskaya, Irina  ( Pirogov Russian National Research Medical University , Moscow , Russian Federation )
  • NONE
    Poster Session ALL VIRTUAL
    Diagnostics