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Identifying Celiac Disease Using Quantitative Analysis of Videocapsule Endoscopy Imaging
Jefferson Adams is a freelance writer living in San Francisco. His poems, essays and photographs have appeared in Antioch Review, Blue Mesa Review, CALIBAN, Hayden's Ferry Review, Huffington Post, the Mississippi Review, and Slate among others.
He is a member of both the National Writers Union, the International Federation of Journalists, and covers San Francisco Health News for Examiner.com.View all articles by Jefferson Adams
Columbia University--Photo: CC/Stijn Debrouwere
Celiac.com 06/23/2010 - A team of researchers evaluated the possibility of diagnosing celiac disease using quantitative analysis of videocapsule endoscopy images.
The team included Edward J. Ciaccioa, Christina A. Tennysonb, Suzanne K. Lewisb, Suneet, Krishnareddy, Govind Bhagat, and Peter H.R. Green. They are variously associated with the Department of Pharmacology, Department of Medicine, Department of Pathology, Columbia University College of Physicians and Surgeons in New York.
Images taken with videocapsule endoscopy can be useful for diagnosing celiac disease, but their interpretation is highly subjective. Quantitative disease markers might help to determine the degree of villous atrophy and efficacy of treatment.
Images had a resolution of 576×576 pixels, with 256 grayscale tones, and a frame-rate of 2 s−1. The team measured over 10×10 pixel sub-images for pixel brightness and image texture. They then averaged the results for for 56×56 sub-images per frame.
For classification with a nonlinear discriminant function, they computed mean frame-to-frame pixel brightness, image texture, periodicity in brightness, and estimated wall motion or intestinal motility.
By pooling the data, the team found that images from the celiac group showed greater texture than did images from control group (p < 0.001).
Images from the celiac disease group exhibited more frame-to-frame brightness variation as well (p = 0.032). Celiac patients showed longer dominant period of brightness in celiacs (p = 0.001), which may indicate reduced motility.
Markers for three-dimensional nonlinear classification of celiacs versus controls showed sensitivity of 92.7% and specificity of 93.5%. Both celiac patients and control subjects showed an approximately linear association between dominant period and small intestinal transit time (r2 = 0.42 and r2 =0 .55, respectively).
The results show that videocapsule images can be used to reveal villous atrophy throughout the small intestine, and to distinguish individuals with celiac disease from individuals without mucosal atrophy.
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