Usefulness of optical fluorescence imaging in identification and triaging of oral potentially malignant disorders: A study of VELscope in the LESIONS programme-Reference-Cited by-同舟云学术

Usefulness of optical fluorescence imaging in identification and triaging of oral potentially malignant disorders: A study of VELscope in the LESIONS programme

Published:2019-06-21 Issue:7 Volume:48 Page:581-587
ISSN:0904-2512
Container-title:Journal of Oral Pathology & Medicine
language:en
Short-container-title:J Oral Pathol Med

Author:

Farah Camile S.¹²^ORCID,Dost Fatima²,Do Loc³

Affiliation:

1. UWA Dental School University of Western Australia Nedlands Western Australia Australia

2. Australian Centre for Oral Oncology Research & Education Nedlands Western Australia Australia

3. Australian Research Centre for Population Oral Health University of Adelaide Adelaide South Australia Australia

Publisher

Wiley

Subject

Periodontics,Cancer Research,Otorhinolaryngology,Oral Surgery,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jop.12896

Reference27 articles.

1. Global epidemiology of oral and oropharyngeal cancer

2. “Field cancerization” in oral stratified squamous epithelium. Clinical implications of multicentric origin

3. A genetic explanation of Slaughter's concept of field cancerization: evidence and clinical implications;Braakhuis BJ;Cancer Res,2003

4. Update on Oral Epithelial Dysplasia and Progression to Cancer

5. Oral mucosal malignancy and potentially malignant lesions: an update on the epidemiology, risk factors, diagnosis and management

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