Open Access
19 March 2015 5-aminolevulinic acid induced protoporphyrin IX as a fluorescence marker for quantitative image analysis of high-grade dysplasia in Barrett’s esophagus cellular models
Shu-Chi A. Yeh, Samir Sahli, David W. Andrews, Michael S. Patterson, David Armstrong, John Provias, Qiyin Fang
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Abstract
Early detection and treatment of high-grade dysplasia (HGD) in Barrett’s esophagus may reduce the risk of developing esophageal adenocarcinoma. Confocal endomicroscopy (CLE) has shown advantages over routine white-light endoscopic surveillance with biopsy for histological examination; however, CLE is compromised by insufficient contrast and by intra- and interobserver variation. An FDA-approved PDT photosensitizer was used here to reveal morphological and textural features similar to those found in histological analysis. Support vector machines were trained using the aforementioned features to obtain an automatic and robust detection of HGD. Our results showed 95% sensitivity and 87% specificity using the optimal feature combination and demonstrated the potential for extension to a three-dimensional cell model.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
Shu-Chi A. Yeh, Samir Sahli, David W. Andrews, Michael S. Patterson, David Armstrong, John Provias, and Qiyin Fang "5-aminolevulinic acid induced protoporphyrin IX as a fluorescence marker for quantitative image analysis of high-grade dysplasia in Barrett’s esophagus cellular models," Journal of Biomedical Optics 20(3), 036010 (19 March 2015). https://doi.org/10.1117/1.JBO.20.3.036010
Published: 19 March 2015
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Luminescence

Image segmentation

3D modeling

Feature extraction

Esophagus

Image classification

Feature selection

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