Paper
1 July 2004 Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography
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Abstract
Barrett's esophagus (BE) has become a major health care burden because of its association with adenocarcinoma of the esophagus. We have shown that endoscopic optical coherence tomography (EOCT) has a 70% accuracy in the diagnosis of dysplasia (Gastrointest Endosc 2003; 57:AB77). To demonstrate the feasiblity of computer aided diagnosis (CAD) of dysplasia in BE using EOCT digital images, to quantitate/standardize the diagnosis of dysplasia, and to develop algorithms suitable for EOCT surveillance of large areas of Barrett’s mucosa, 106 EOCT images were selected (13 patients from 28 cases) from the clinical study including 68 of non-dysplastic and 38 of dysplastic mucosa. From the digital image stream, the 3 frames immediately preceding impact of the forceps on the tissue were selected to insure close correlation between histology/EOCT image pairs. Computer aided diagnosis by center symmetric autocorrelation (CENS) and principal component analysis (PCA) were used for feature parameter extraction and analysis based on the segmented ROI. Leave-one-out cross-validation was used for classification and finally receiver operating characteristic (ROC) curve was used to evaluate the performance of CAD and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy were calculated. The result shows that CAD is able to achieve a higher accuracy than humans for identification of dysplasia in EOCT images. CAD may be of assistance in the EOCT surveillance of large surface areas of Barrett’s mucosa for dysplasia.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Qi, Michael V. Sivak Jr., David L. Wilson, and Andrew M. Rollins "Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography", Proc. SPIE 5316, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VIII, (1 July 2004); https://doi.org/10.1117/12.531390
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Cited by 5 scholarly publications and 51 patents.
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KEYWORDS
Esophagus

Computer aided diagnosis and therapy

Biopsy

Image segmentation

Endoscopy

Principal component analysis

Tissues

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