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Proceedings Paper

CT colonography of the unprepared colon: an evaluation of electronic stool subtraction
Author(s): Michael J. Carston; Robert J. Wentz; Armando Manduca; C. Daniel Johnson
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Paper Abstract

CT colonography (CTC) is being extensively studied for its potential value in colon examinations, since it offers many advantages such as lower risk and less patient discomfort. However, CTC, like all other types of full structural colorectal examinations to date, requires complete bowel preparation. The inconvenience and discomfort associated with this preparation is an important obstacle to compliance with currently recommended colorectal screening guidelines. To maximize compliance, CTC would ideally be performed on an unprepared colon. However, in an unprepared colon residual stool and fluid can mimic soft tissue density and thus confound the identification of polyps. An alternative is to tag the stool with an opacifying agent so that it is brighter than soft tissue and thus easily recognized automatically and then reset to air values. However, such electronic stool subtraction in a totally unprepared colon is difficult to perform accurately for several reasons, including poorly labeled areas of stool, the need to accurately quantify partial volume effects, and noise. In this study the performance of a novel stool subtraction algorithm was assessed in unprepared CT colonography exams of 25 consecutive volunteers who had undergone colonoscopy with positive findings. Results showed 81% sensitivity to clinically relevant lesions > 1 cm with 0.52 false positives per patient compared to colonoscopy findings. Although further study and refinement of the stool subtraction process is required, CT colonography of the unprepared colon with electronic stool subtraction is feasible at detection levels comparable to the prepared colon.

Paper Details

Date Published: 14 April 2005
PDF: 8 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.598381
Show Author Affiliations
Michael J. Carston, Mayo Clinic College of Medicine (United States)
Robert J. Wentz, Mayo Clinic College of Medicine (United States)
Armando Manduca, Mayo Clinic College of Medicine (United States)
C. Daniel Johnson, Mayo Clinic College of Medicine (United States)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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