Optical coherence tomography assessment of gingival epithelium inflammatory status in periodontal — Systemic affected patients

• Published in: Annals of anatomy Vol. 219; pp. 51 - 56
• Main Authors: Șurlin, Petra, Camen, Adrian, Stratul, Stefan Ioan, Roman, Alexandra, Gheorghe, Dorin-Nicolae, Herăscu, Elena, Osiac, Eugen, Rogoveanu, Ion
• Format: Journal Article
• Language: English
• Published: Germany Elsevier GmbH 01.09.2018
• Subjects: Adult; Chronic hepatitis C; Comorbidity; Diabetes mellitus; Diabetes Mellitus - epidemiology; Epithelium - diagnostic imaging; Female; Gingiva - diagnostic imaging; Gingival epithelium; Gingivitis - diagnostic imaging; Gingivitis - epidemiology; Hepatitis C, Chronic - epidemiology; Humans; Image Processing, Computer-Assisted; Male; Middle Aged; OCT; Optical coherence tomography; Periodontal disease; Tomography, Optical Coherence; OCT; Periodontal disease; Chronic hepatitis C; Gingival epithelium; Optical coherence tomography; Diabetes mellitus
• ISSN: 0940-9602; 1618-0402; 1618-0402
• DOI: 10.1016/j.aanat.2018.04.010

Optical coherence tomography (OCT) is an imaging tool used in various medical fields (ophthalmology, dermatology), which allows the observation of morphological particularities on the surface of tissues or internal constructive details of about 2–3mms in depth. In periodontology, it has been used as an experimental tool for periodontal pocket analysis (depth, calculus deposits) but not for the assessment of periodontal inflammation in the gingival tissues, which has been the subject of our in-vitro study. Gingival samples were collected from three types of patients: patients with periodontal disease; patients with periodontal disease and a systemic comorbidity; periodontal and systemic healthy patients. The samples were scanned with an OCT light beam, resulting two-dimensional images of the gingival tissue (full thickness epithelium and partial connective tissue). The images were assessed using dedicated software, which allowed the quantification of pixels on a given segment in the epithelium. The average pixel densities were then calculated for each patient group and statistically analyzed. The resulted pixel densities were highest for the control group samples, while the lowest pixel densities were found in samples originating from periodontal patients with diabetes mellitus. For the other possible periodontal comorbidity, chronic hepatitis C, image assessment also exhibited lower pixel densities than those of the periodontal group, suggesting that this condition could also have an added effect on the tissular changes induced by periodontal disease. OCT has proven that in an in-vitro environment it can be a useful tool for the assessment of periodontal inflammation in gingival samples of periodontal patients. In terms of inflammatory tissular changes observed by OCT analysis, chronic hepatitis C could be regarded as possible periodontal disease’s comorbidity.