Abstract

To date, there is still a lack of reliable imaging modalities to improve the quality of consultation, diagnostic and medical examinations of the oral mucosa in dentistry. Even though, optical technologies have become an important element for the detection and treatment of different diseases of soft tissue, for the case of oral screenings the evidence of the benefit in comparison to conventional histopathology is mostly still pending. One promising optical technology for oral diagnostics is optical coherence tomography (OCT). To prove the potential of OCT, even the amount of freely accessible OCT data is not sufficient to describe the variance of healthy human oral soft tissue in vivo. In order to remedy this deficiency, the present study provides in vivo OCT cross sections of the human oral mucosa of the anterior and posterior oral cavity as well as the oropharynx of 47 adult volunteers. A collection of representative OCT cross sections forms the basis for a randomized blinded image analysis by means of seven criteria to assess the main features of the superficial layers of the human oral mucosa and to determine its correlation to regional features known from hematoxylin and eosin (HE) stained histology.

Highlights

  • According to the results of the global burden of disease study, diagnosis and treatment of oral cancer is still challenging because of at least >350,000 new cases and >170,000 deaths every year [1]

  • With reference to the limited number of freely accessible optical coherence tomography (OCT) images concerning the healthy human oral mucosa, this study aimed to examine a representative sample of disease-free volunteers by means of an endoscopic OCT system

  • In the presented clinical study, in vivo OCT cross sections of the healthy human oral mucosa were obtained with the aim of generating a standardized image analysis of intensity-based OCT cross sections

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Summary

Introduction

According to the results of the global burden of disease study, diagnosis and treatment of oral cancer is still challenging because of at least >350,000 new cases and >170,000 deaths every year [1]. With regard to demographic aging, the global incidence of oral cancer is predicted to increase of almost two thirds in 2035 [4]. Diagnostics 2020, 10, 827 significantly decreased in advanced stages [2,3,4,5,6]. The reason for this lies primarily in the high number of initial diagnoses at a late stage underlining the necessity for an improved early diagnosis [4]

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