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[Evaluation of dental plaque by quantitative digital image analysis system].

Authors :
Huang Z
Luan QX
Source :
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences [Beijing Da Xue Xue Bao Yi Xue Ban] 2016 Apr 18; Vol. 48 (2), pp. 320-3.
Publication Year :
2016

Abstract

Objective: To analyze the plaque staining image by using image analysis software, to verify the maneuverability, practicability and repeatability of this technique, and to evaluate the influence of different plaque stains.<br />Methods: In the study, 30 volunteers were enrolled from the new dental students of Peking University Health Science Center in accordance with the inclusion criteria. The digital images of the anterior teeth were acquired after plaque stained according to filming standardization.The image analysis was performed using Image Pro Plus 7.0, and the Quigley-Hein plaque indexes of the anterior teeth were evaluated.<br />Results: The plaque stain area percentage and the corresponding dental plaque index were highly correlated,and the Spearman correlation coefficient was 0.776 (P<0.01). Intraclass correlation coefficients of the tooth area and plaque area which two researchers used the software to calculate were 0.956 and 0.930 (P<0.01).The Bland-Altman analysis chart showed only a few spots outside the 95% consistency boundaries. The different plaque stains image analysis results showed that the difference of the tooth area measurements was not significant, while the difference of the plaque area measurements significant (P<0.01).<br />Conclusion: This method is easy in operation and control,highly related to the calculated percentage of plaque area and traditional plaque index, and has good reproducibility.The different plaque staining method has little effect on image segmentation results.The sensitive plaque stain for image analysis is suggested.

Details

Language :
Chinese
ISSN :
1671-167X
Volume :
48
Issue :
2
Database :
MEDLINE
Journal :
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Publication Type :
Academic Journal
Accession number :
27080289