Literature DB >> 27989864

Fluorescence visualization efficacy for detecting oral lesions more prone to be dysplastic and potentially malignant disorders: a pilot study.

Luciana Estevam Simonato1, Saygo Tomo2, Glauco Issamu Miyahara3, Ricardo Scarparo Navarro1, Antonio Guillermo Jose Balbin Villaverde1.   

Abstract

BACKGROUND: To analyze the efficacy of fluorescence visualization in early detection of oral early neoplastic processes when used by an inexperienced and an adept oral examiner.
METHODS: A dental student and an expert professional in oral diagnosis examined 15 randomly selected patients using conventional oral examination and fluorescence visualization searching for early signs of epithelial dysplasia and oral potentially malignant disorders. Patients detected with oral lesions in any of examinations were submitted to incisional biopsy for definitive diagnosis.
RESULTS: Taking histopathologic analysis as Gold Standard, sensitivity, specificity, positive and negative predictive values and accuracy of inexperienced examiner for detecting both epithelium dysplasia and oral potentially malignant disorders increased when using fluorescence visualization compared to conventional white light examination, matching the same values found for expert professional in oral diagnosis. Furthermore, it was possible to observe discrete increase in the efficacy of expert professional's examination when using fluorescence visualization.
CONCLUSION: This study indicates fluorescence visualization is capable of improve inexperienced professionals' efficacy for early detecting oral lesions more prone to be dysplastic and oral potentially malignant disorders.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnosis; Early diagnosis; Mouth neoplasms; Optical imaging; Oral

Mesh:

Year:  2016        PMID: 27989864     DOI: 10.1016/j.pdpdt.2016.10.010

Source DB:  PubMed          Journal:  Photodiagnosis Photodyn Ther        ISSN: 1572-1000            Impact factor:   3.631


  8 in total

Review 1.  Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence.

Authors:  B Ilhan; K Lin; P Guneri; P Wilder-Smith
Journal:  J Dent Res       Date:  2020-03       Impact factor: 6.116

2.  Diagnostic value of objective VELscope fluorescence methods in distinguishing oral cancer from oral potentially malignant disorders (OPMDs).

Authors:  Caijiao Wang; Xiangmin Qi; Xiaofang Zhou; Hongrui Liu; Minqi Li
Journal:  Transl Cancer Res       Date:  2022-06       Impact factor: 0.496

3.  Detection accuracy for epithelial dysplasia using an objective autofluorescence visualization method based on the luminance ratio.

Authors:  Nanami Yamamoto; Koji Kawaguchi; Hisako Fujihara; Mitsuhiko Hasebe; Yuta Kishi; Masaaki Yasukawa; Kenichi Kumagai; Yoshiki Hamada
Journal:  Int J Oral Sci       Date:  2017-11-10       Impact factor: 6.344

Review 4.  Oral cancer diagnostics: An overview.

Authors:  Akhilanand Chaurasia; Saman Ishrat Alam; Navin Singh
Journal:  Natl J Maxillofac Surg       Date:  2021-12-13

5.  Evaluation of Oral Mucosal Lesions Using the IllumiScan® Fluorescence Visualisation Device: Distinguishing Squamous Cell Carcinoma.

Authors:  Yuki Taguchi; Shigeaki Toratani; Kensaku Matsui; Seiya Hayashi; Natsuki Eboshida; Atsuko Hamada; Nanako Ito; Fumitaka Obayashi; Naohiro Kimura; Souichi Yanamoto
Journal:  Int J Environ Res Public Health       Date:  2022-08-21       Impact factor: 4.614

6.  Fluorescence visualization as an auxiliary method to detect oral potentially malignant disorders and oral cancer.

Authors:  Saygo Tomo; José Alcides Almeida de Arruda; Felipe de Souza Cabral; Silvia Cristina Nunez; Luciana Estevam Simonato
Journal:  Transl Cancer Res       Date:  2022-08       Impact factor: 0.496

7.  Band-Selection of a Portal LED-Induced Autofluorescence Multispectral Imager to Improve Oral Cancer Detection.

Authors:  Yung-Jhe Yan; Nai-Lun Cheng; Chia-Ing Jan; Ming-Hsui Tsai; Jin-Chern Chiou; Mang Ou-Yang
Journal:  Sensors (Basel)       Date:  2021-05-06       Impact factor: 3.576

8.  Diagnostic tests for oral cancer and potentially malignant disorders in patients presenting with clinically evident lesions.

Authors:  Tanya Walsh; Richard Macey; Alexander R Kerr; Mark W Lingen; Graham R Ogden; Saman Warnakulasuriya
Journal:  Cochrane Database Syst Rev       Date:  2021-07-20
  8 in total

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