A simple method for semi-automated planimetric quantification of dental plaque using light-induced fluorescence

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DOI

Planimetric analysis allows for a more detailed and less subjective quantitative assessment of dental plaque than the use of clinical indices. Current planimetric analysis procedures rely on a manual and thus time-consuming determination of plaque-covered tooth surfaces. The present work describes and validates a simple semi-automated method for planimetric plaque quantification based on digital image analysis (DIA) of fluorescence images. 30 healthy participants were enrolled and abstained from oral hygiene procedures for 7 d (Ethical Committee of Region Midtjylland: 1-10-72-259-21). On day 1 and 7, plaque was disclosed (5 % erythrosine) in the first or second quadrant, respectively, and images of the
first incisors, first premolars and first molars were acquired with a fluorescence camera (VistaCam). The Turesky modification of the Quigley and Hein plaque Index (TM-QHPI) was recorded and planimetric plaque scores were determined by semi-automated DIA (DIAplanimetry). In a subset of 10 participants, the plaque-covered area was identified manually on the fluorescence images (M-planimetry). M-planimetry, DIA-planimetry and TM-QHPI were compared by Pearson or Kendal correlations, and the increase in plaque scores from
day 1 to 7 was assessed by paired t-tests. An excellent linear correlation was observed between DIA-planimetry and M-planimetry (R=0.93; pquantification constitutes an improvement to currently employed methods for plaque quantification.
Original languageEnglish
JournalCaries Research
Volume56
ISSN0008-6568
DOIs
Publication statusPublished - Jul 2022
Event69th Annual ORCA Congress, Cagliari - Cagliari, Italy
Duration: 29 Jun 20222 Jul 2022
https://www.orca-caries-research.org/events/69th-orca-congress#v-pills-e-44

Conference

Conference69th Annual ORCA Congress, Cagliari
CountryItaly
CityCagliari
Period29/06/202202/07/2022
Internet address

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