Literature DB >> 25096826

Assessment of a decision making protocol to improve the efficacy of VELscope™ in general dental practice: a prospective evaluation.

Nirav Bhatia1, Marie Anne T Matias1, Camile S Farah2.   

Abstract

BACKGROUND: VELscope™ is a device designed to help detect potentially malignant disorders of the oral mucosa at an early stage using direct tissue autofluorescence. Previous research indicates a high rate of false positives using this device. This study assesses a decision making protocol for the detection of oral mucosal lesions using conventional oral examination and VELscope™ in a general dental practice setting.
MATERIALS AND METHODS: 305 patients presenting for general dental treatment were screened by a general dental practitioner (GDP) for oral mucosal lesions using incandescent light (conventional oral examination - COE), followed by VELscope™ and then by correlating the findings from these two examinations. A decision making protocol was followed. Patients were either reviewed or referred to an Oral Medicine specialist (OMS) for consultation, and biopsy was undertaken as required for definitive diagnosis.
RESULTS: 146 patients presented with at least one oral mucosal lesion, and a total of 222 lesions were detected. COE detected 161 oral mucosal lesions and an additional 61 lesions were detected with VELscope™. COE alone showed a sensitivity of 44.0% and specificity of 99.0% while VELscope™ alone showed a sensitivity of 64.0% and specificity of 54.3%. Using the decision making protocol, the sensitivity and specificity were 73.9% and 97.9% respectively.
CONCLUSION: Using the decision making protocol proposed in this study allows for the detection of additional oral mucosal lesions requiring specialist referral by incorporating VELscope™ into routine general dental practice, without compromising patient care.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Early detection of cancer; Fluorescence imaging; Oral cancer; Precancerous conditions; Sensitivity and specificity

Mesh:

Year:  2014        PMID: 25096826     DOI: 10.1016/j.oraloncology.2014.07.002

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


  10 in total

1.  Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging.

Authors:  Alessandro Cosci; Ademar Takahama; Wagner Rafael Correr; Rebeca Souza Azevedo; Karla Bianca Fernandes da Costa Fontes; Cristina Kurachi
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-02

2.  Diagnostic accuracy of clinical visualization and light-based tests in precancerous and cancerous lesions of the oral cavity and oropharynx: a systematic review and meta-analysis.

Authors:  María Rosa Buenahora; Alberto Peraza-L; David Díaz-Báez; Jairo Bustillo; Iván Santacruz; Tamy Goretty Trujillo; Gloria Inés Lafaurie; Leandro Chambrone
Journal:  Clin Oral Investig       Date:  2021-01-03       Impact factor: 3.573

Review 3.  Non-invasive visual tools for diagnosis of oral cancer and dysplasia: A systematic review.

Authors:  I Giovannacci; P Vescovi; M Manfredi; M Meleti
Journal:  Med Oral Patol Oral Cir Bucal       Date:  2016-05-01

4.  Accuracy of autofluorescence in diagnosing oral squamous cell carcinoma and oral potentially malignant disorders: a comparative study with aero-digestive lesions.

Authors:  Xiaobo Luo; Hao Xu; Mingjing He; Qi Han; Hui Wang; Chongkui Sun; Jing Li; Lu Jiang; Yu Zhou; Hongxia Dan; Xiaodong Feng; Xin Zeng; Qianming Chen
Journal:  Sci Rep       Date:  2016-07-15       Impact factor: 4.379

5.  Method for diagnosing neoplastic lesions by quantitative fluorescence value.

Authors:  Ayaka Kosugi; Masataka Kasahara; Longqiang Yang; Aki Nakamura-Takahashi; Takahiko Shibahara; Taisuke Mori
Journal:  Sci Rep       Date:  2019-05-24       Impact factor: 4.379

6.  A Meta-analysis on efficacy of auto fluorescence in detecting the early dysplastic changes of oral cavity.

Authors:  Nallan C S K Chaitanya; Sunanda Chavva; Elizabeth Surekha; Vedula Priyanka; Mule Akhila; Hari Kiran Ponnuru; Charan Kumar Reddy
Journal:  South Asian J Cancer       Date:  2019 Oct-Dec

7.  Multiclass classification of autofluorescence images of oral cavity lesions based on quantitative analysis.

Authors:  Ming-Jer Jeng; Mukta Sharma; Ting-Yu Chao; Ying-Chang Li; Shiang-Fu Huang; Liann-Be Chang; Lee Chow
Journal:  PLoS One       Date:  2020-02-04       Impact factor: 3.240

8.  The use of Velscope to assess cellular changes occuring in oral premalignancy.

Authors:  Sonal Shah; Pushkar Waknis; Aditi Saha; Sneha Setiya; Tusha Ratra; Vibha Vaswani
Journal:  J Oral Biol Craniofac Res       Date:  2020-03-14

Review 9.  In-vivo optical imaging in head and neck oncology: basic principles, clinical applications and future directions.

Authors:  Chenzhou Wu; John Gleysteen; Nutte Tarn Teraphongphom; Yi Li; Eben Rosenthal
Journal:  Int J Oral Sci       Date:  2018-03-18       Impact factor: 6.344

10.  A Real-Time Near-Infrared Fluorescence Imaging Method for the Detection of Oral Cancers in Mice Using an Indocyanine Green-Labeled Podoplanin Antibody.

Authors:  Akihiro Ito; Mitsuhiko Ohta; Yukinari Kato; Shunko Inada; Toshio Kato; Susumu Nakata; Yasushi Yatabe; Mitsuo Goto; Norio Kaneda; Kenichi Kurita; Hayao Nakanishi; Kenji Yoshida
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  10 in total

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