Literature DB >> 26786962

In vivo confocal microscopy for the oral cavity: Current state of the field and future potential.

N G Maher1, H Collgros2, P Uribe3, S Ch'ng4, M Rajadhyaksha5, P Guitera6.   

Abstract

Confocal microscopy (CM) has been shown to correlate with oral mucosal histopathology in vivo. The purposes of this review are to summarize what we know so far about in vivo CM applications for oral mucosal pathologies, to highlight some current developments with CM devices relevant for oral applications, and to formulate where in vivo CM could hold further application for oral mucosal diagnosis and management. Ovid Medline® and/or Google® searches were performed using the terms 'microscopy, confocal', 'mouth neoplasms', 'mouth mucosa', 'leukoplakia, oral', 'oral lichen planus', 'gingiva', 'cheilitis', 'taste', 'inflammatory oral confocal', 'mucosal confocal' and 'confocal squamous cell oral'. In summary, inclusion criteria were in vivo use of any type of CM for the human oral mucosa and studies on normal or pathological oral mucosa. Experimental studies attempting to identify proteins of interest and microorganisms were excluded. In total 25 relevant articles were found, covering 8 main topics, including normal oral mucosal features (n=15), oral dysplasia or neoplasia (n=7), inflamed oral mucosa (n=3), taste impairment (n=3), oral autoimmune conditions (n=2), pigmented oral pathology/melanoma (n=1), delayed type hypersensitivity (n=1), and cheilitis glandularis (n=1). The evidence for using in vivo CM in these conditions is poor, as it is limited to mainly small descriptive studies. Current device developments for oral CM include improved probe design. The authors propose that future applications for in vivo oral CM may include burning mouth syndrome, intra-operative mapping for cancer surgery, and monitoring and targeted biopsies within field cancerization.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Confocal; Melanoma; Melanosis; Microscopy; Mouth mucosa; Mouth neoplasms

Mesh:

Year:  2016        PMID: 26786962     DOI: 10.1016/j.oraloncology.2016.01.003

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  7 in total

1.  Development of a multimodal foveated endomicroscope for the detection of oral cancer.

Authors:  Adam Shadfan; Hawraa Darwiche; Jesus Blanco; Ann Gillenwater; Rebecca Richards-Kortum; Tomasz S Tkaczyk
Journal:  Biomed Opt Express       Date:  2017-02-14       Impact factor: 3.732

2.  Microvascular imaging and monitoring of human oral cavity lesions in vivo by swept-source OCT-based angiography.

Authors:  Wei Wei; Woo June Choi; Ruikang K Wang
Journal:  Lasers Med Sci       Date:  2017-10-16       Impact factor: 3.161

3.  Feasibility of a Video-Mosaicking Approach to Extend the Field-of-View For Reflectance Confocal Microscopy in the Oral Cavity In Vivo.

Authors:  Gary Peterson; Daniella Karassawa Zanoni; Marco Ardigo; Jocelyn C Migliacci; Snehal G Patel; Milind Rajadhyaksha
Journal:  Lasers Surg Med       Date:  2019-05-08       Impact factor: 4.025

4.  Impression Cytology and In Vivo Confocal Microscopy of Lip Mucosa Compared With Labial Gland Biopsy and Classification Criteria In Patients With Clinically Suspected Primary Sjögren's Syndrome.

Authors:  Ran Hao; Ziyuan Liu; Yilin Chou; Yuexin Wang; Xiaotong Ren; Xiaodan Jiang; Xuemin Li
Journal:  Front Immunol       Date:  2022-05-02       Impact factor: 8.786

5.  Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology.

Authors:  Paul Russell Roberts; Ashesh B Jani; Satyaseelan Packianathan; Ashley Albert; Rahul Bhandari; Srinivasan Vijayakumar
Journal:  Radiat Oncol       Date:  2018-08-13       Impact factor: 3.481

6.  Reflectance confocal microscopy characteristics of oral lichen planus: An analysis of 47 cases in a Chinese cohort.

Authors:  Hao Peng; Yufeng Wang; Lingyue Shen; Guoyu Zhou
Journal:  Exp Ther Med       Date:  2020-08-25       Impact factor: 2.447

7.  Algorithm to quantify nuclear features and confidence intervals for classification of oral neoplasia from high-resolution optical images.

Authors:  Eric C Yang; David R Brenes; Imran S Vohra; Richard A Schwarz; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca R Richards-Kortum
Journal:  J Med Imaging (Bellingham)       Date:  2020-09-21
  7 in total

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