A proof of concept study to confirm the suitability of an intra oral scanner to record oral images for the non-invasive assessment of gingival inflammation

Sinead Daly*, Joon Seong*, Charles R Parkinson*, Robert G Newcombe*, Nicholas C A Claydon*, Nicola X West*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

7 Citations (Scopus)
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Abstract

Objectives
To compare gingival inflammation scores obtained chairside using the non-invasive modified gingival index (MGI) with MGI scores from an intraoral scan (IOS) captured at the clinical visit but viewed 10 days later.

Methods
Single visit, anterior teeth, observational, proof of concept study in healthy adult participants with a spectrum of gingival inflammation. One investigator performed both clinical and intraoral scan MGI assessments, a second repeated the MGI evaluation from the IOS.

Results
23 participants aged 18–72 yielded data for 552 gingival sites. There was agreement at 90 % of sites comparing clinical with IOS MGI scores. The commonest disagreements were MGI grade 0 read as 1 and 2 read as 3, the highest single probability of error occurring where a clinical score of 0 was scored 1 from the IOS: 0.118 and 0.129 for examiners 1 and 2 respectively. The second most common probability of error occurred where an IOS score of 3 was scored clinically as 2: 0.089 and 0.097 for examiners 1 and 2 respectively. MGI scores from the scans were similar for both examiners (91 % agreement), with no discrepancies of greater than 1 scale point. There was very close agreement between clinical MGI and IOS colour/texture scores.

Conclusion
This study conclusively demonstrated that the MGI score from the scanned image was very similar to the MGI scored clinically. This study confirms that a digital IOS accurately captures gingival contour images allowing a clinician to determine health or degree of gingival inflammation from it using MGI scores.

Clinical Significance Statement
This study confirms that IOS images of teeth and soft tissues are sufficiently accurate to allow the clinical evaluation of health or inflammatory gingival status using non-invasive indices. IOS has great potential for efficient and accurate data capture, for general practice and research facilitating remote evaluation and data verification.
Original languageEnglish
Article number103579
Number of pages6
JournalJournal of Dentistry
Volume105
Early online date5 Jan 2021
DOIs
Publication statusPublished - Feb 2021

Bibliographical note

Funding Information:
This study was carried out by the Clinical Trials Unit at Bristol Dental Hospital. This study was funded by GSK Consumer Healthcare, UK. CP is an employee of GSK and GSK contributed to the design of the study and the manuscript. NW and JS contributed to the design of the study. The study was carried out, analysed and prepared for publication by SD, JS, NC, RN and NW.

Funding Information:
This study was carried out by the Clinical Trials Unit at Bristol Dental Hospital. This study was funded by GSK Consumer Healthcare, UK . CP is an employee of GSK and GSK contributed to the design of the study and the manuscript. NW and JS contributed to the design of the study. The study was carried out, analysed and prepared for publication by SD, JS, NC, RN and NW.

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • gingivitis
  • intra-oral scanner
  • MGI
  • inflammation

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