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

Actinic cheilitis (AC) is a disease caused by prolonged and cumulative sun exposure that mostly affects the lower lip, which can progress to a lip squamous cell carcinoma. Routine diagnosis relies on clinician experience and training. We investigated the diagnostic efficacy of wide-field fluorescenc...

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Bibliographic Details
Published inJournal of medical imaging (Bellingham, Wash.) Vol. 3; no. 4; p. 044004
Main Authors Cosci, Alessandro, Takahama, Ademar, Correr, Wagner Rafael, Azevedo, Rebeca Souza, Fontes, Karla Bianca Fernandes da Costa, Kurachi, Cristina
Format Journal Article
LanguageEnglish
Published United States Society of Photo-Optical Instrumentation Engineers 01.10.2016
Subjects
Image Processing
actinic cheilitis
fotonics
lips
fluorescence
wide-field imaging
oral
cancer
optics
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Summary:Actinic cheilitis (AC) is a disease caused by prolonged and cumulative sun exposure that mostly affects the lower lip, which can progress to a lip squamous cell carcinoma. Routine diagnosis relies on clinician experience and training. We investigated the diagnostic efficacy of wide-field fluorescence imaging coupled to an automated algorithm for AC recognition. Fluorescence images were acquired from 57 patients with confirmed AC and 46 normal volunteers. Three different algorithms were employed: two based on the emission characteristics of local heterogeneity, entropy and intensity range, and one based on the number of objects after K-mean clustering. A classification model was obtained using a fivefold cross correlation algorithm. Sensitivity and specificity rates were 86% and 89.1%, respectively.
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ISSN:2329-4302
2329-4310
DOI:10.1117/1.JMI.3.4.044004