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

Alessandro Cosci; Ademar Takahama; Wagner Rafael Correr; Rebeca Souza Azevedo; Karla Bianca  Fernandes da Costa Fontes; Cristina Kurachi

doi:10.1117/1.JMI.3.4.044004

2 December 2016 Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging

Alessandro Cosci, Ademar Takahama, Wagner Rafael Correr, Rebeca Souza Azevedo, Karla Bianca Fernandes da Costa Fontes, Cristina Kurachi

Author Affiliations +

Journal of Medical Imaging, Vol. 3, Issue 4, 044004 (December 2016). https://doi.org/10.1117/1.JMI.3.4.044004

Abstract

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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Alessandro Cosci, Ademar Takahama, Wagner Rafael Correr, Rebeca Souza Azevedo, Karla Bianca Fernandes da Costa Fontes, and Cristina Kurachi "Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging," Journal of Medical Imaging 3(4), 044004 (2 December 2016). https://doi.org/10.1117/1.JMI.3.4.044004

Published: 2 December 2016

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