Intra-Oral Photograph Analysis for Gingivitis Screening in Orthodontic Patients
Han-Na Kim,
Kyuseok Kim () and
Youngjin Lee ()
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Han-Na Kim: Department of Dental Hygiene, College of Health and Medical Sciences, Cheongju University, Cheongju 28503, Republic of Korea
Kyuseok Kim: Department of Biomedical Engineering, Eulji University, Seongnam 13135, Republic of Korea
Youngjin Lee: Department of Radiological Science, College of Health Science, Gachon University, Incheon 21936, Republic of Korea
IJERPH, 2023, vol. 20, issue 4, 1-12
Abstract:
This study aimed to confirm the presence of gingival inflammation through image analysis of the papillary gingiva using intra-oral photographs (IOPs) before and after orthodontic treatment and to confirm the possibility of using gingival image analysis for gingivitis screening. Five hundred and eighty-eight (n = 588) gingival sites from the IOPs of 98 patients were included. Twenty-five participants who had completed their orthodontic treatments and were aged between 20 and 37 were included. Six points on the papillary gingiva were selected in the maxillary and mandibular anterior incisors. The red/green (R/G) ratio values were obtained for the selected gingival images and the modified gingival index (GI) was compared. The change in the R/G values during the orthodontic treatment period appeared in the order of before orthodontic treatment (BO), mid-point of orthodontic treatment (MO), three-quarters of the way through orthodontic treatment (TO), and immediately after debonding (IDO), confirming that it was similar to the change in the GI. The R/G value of the gingiva in the image correlated with the GI. Therefore, it could be used as a major index for gingivitis diagnosis using images.
Keywords: gingivitis; intra-oral photo image; periodontitis; R/G value analysis; image processing framework for redness measurement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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