Research Papers

Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography

[+] Author Affiliations
Xin Qi

Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio 44106

Michael V. Sivak, Gerard Isenberg

Case Western Reserve University, Department of Medicine, Cleveland, Ohio 44106

Joseph. E. Willis

Case Western Reserve University, Department of Pathology, Cleveland, Ohio 44106

Andrew M. Rollins

Case Western Reserve University, Department of Biomedical Engineering and Department of Medicine, Cleveland, Ohio 44106

J. Biomed. Opt. 11(4), 044010 (August 28, 2006). doi:10.1117/1.2337314
History: Received January 13, 2006; Revised April 11, 2006; Accepted April 11, 2006; Published August 28, 2006; Online August 28, 2006
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Barrett’s esophagus (BE) and associated adenocarcinoma have emerged as a major health care problem over the last two decades. Because of the widespread use of endoscopy, BE is being recognized increasingly in all Western countries. In clinical trials of endoscopic optical coherence tomography (EOCT), we defined certain image features that appear to be characteristic of precancerous (dysplastic) mucosa: decreased scattering and disorganization in the microscopic morphology. The objective of the present work is to develop computer-aided diagnosis (CAD) algorithms that aid the detection of dysplasia in BE. The image dataset used in the present study was derived from a total of 405 EOCT images (13 patients) that were paired with highly correlated histologic sections of corresponding biopsies. Of these, 106 images were included in the study. The CAD algorithm used was based on a standard texture analysis method (center-symmetric auto-correlation). Using histology as the reference standard, this CAD algorithm had a sensitivity of 82%, specificity of 74%, and accuracy of 83%. CAD has the potential to quantify and standardize the diagnosis of dysplasia and allows high throughput image evaluation for EOCT screening applications. With further refinements, CAD could also improve the accuracy of EOCT identification of dysplasia in BE.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Xin Qi ; Michael V. Sivak, Jr. ; Gerard Isenberg ; Joseph. E. Willis and Andrew M. Rollins
"Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography", J. Biomed. Opt. 11(4), 044010 (August 28, 2006). ; http://dx.doi.org/10.1117/1.2337314


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