Digital plaque monitoring: An evaluation of different intraoral scanners.

J Dent

Department of Operative Dentistry, Endodontics, and Paediatric Dentistry, Section of Cariology, Medical Centre of Dentistry, Philipps-University Marburg, Marburg, Germany.

Published: June 2024

Objectives: Intraoral scanners (IOS) display disclosed plaque, and the scientific literature has reported that plaque levels can be monitored on intraoral scans using one IOS system (Dexis 3800; control IOS). This study aimed to investigate whether this is also possible with other IOS systems (i700, Primescan, Trios 5; test IOS).

Materials And Methods: Ten participants (29.6 ± 5.5 years) were enrolled. After plaque accumulation and subsequent toothbrushing, intraoral scans were performed with the control IOS and the three test IOS. All scans were aligned and the vestibular/oral surfaces of the Ramfjord teeth (16, 21, 24, 36, 41, 44) were analysed with automated planimetry using a predefined threshold value. The proportion of pixels assigned to plaque-covered areas was expressed as a percentage of the total number of pixels (P%). We then assessed whether the planimetrically determined plaque-covered areas corresponded to those identified visually. This revealed that a threshold correction (P%) was required for approximately 20 % (i700 and Trios 5) to over 65 % (Primescan) of the images.

Results: Bland-Altman analysis showed no significant systematic bias and limits of agreement ranging from approximately -20 to +20 P% units, with a tendency towards lower values at higher plaque coverage. Manual correction improved the agreement and halved the limits of agreement. All test IOS could detect a reduction in plaque after brushing, as well as the typical site-dependant plaque distribution patterns.

Conclusions: All test IOS appeared to be suitable for plaque monitoring. Planimetric methods must be adapted to the colour representation of the IOS.

Clinical Significance: Plaque monitoring using IOS opens a new field of application in preventive dentistry.

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http://dx.doi.org/10.1016/j.jdent.2024.104978DOI Listing

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