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Proceedings Paper

A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps
Author(s): Harmanpreet Singh; Lihong C. Li; Marc Pomeroy; Perry J. Pickhardt; Matthew A. Barish; Donald P. Harrington; Zhengrong Liang
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Paper Abstract

Accurate identification of polyps is the ultimate goal of Computed Tomography Colonography (CTC). While oral contrast agents were originally used to tag stool and fluid for the ultimate goal of CTC, recently their effect on coating the surface of polyps has been observed. This study aims to evaluate (1) the frequency at which the oral contrast adhered to polyp surfaces and (2) if there was a difference in contrast adherence with respect to diverse polyp types. To eliminate gravity as a factor in this study, the polyps in contact with tagged fluid pools, particularly on the bottom of the colon wall were excluded. A total of 150 polyps were selected under the above condition from a CTC database and screened for any adherent contrast on the luminal edge. Among the total, 53% of the screened polyps had adherent contrast. Serrated adenomas and hyperplastic polyps had a higher tagging percentage, 77.80% and 62.50% respectively, than tubular adenomas and tubulovillous adenomas, 44.40% and 43% respectively. Other factors that were analyzed for the effect on coating include size and location of the polyps. The higher tagging percentage of serrated adenomas and hyperplastic polyps may be due to their similar cellular features. The average size of the polyps was 8.9 mm. When the polyps were separated by size into small (5-9mm) and large (10-26mm) groups, the large group had a higher tagging percentage. The polyp types were also classified by location with the major findings being: 1) Tubular adenomas were present in all segments of the colon and 2) that serrated adenomas were present at a higher percentage in the proximal colon. These findings shall facilitate characterizing tagging agents and improve computer aided detection and classification of polyps via CTC.

Paper Details

Date Published: 3 March 2017
PDF: 6 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101340I (3 March 2017); doi: 10.1117/12.2254514
Show Author Affiliations
Harmanpreet Singh, Stony Brook Univ. (United States)
Lihong C. Li, CIty Univ. of New York, College of Staten Island (United States)
Marc Pomeroy, Stony Brook Univ. (United States)
CIty Univ. of New York, College of Staten Island (United States)
Perry J. Pickhardt, Univ. of Wisconsin School of Medicine (United States)
Matthew A. Barish, Stony Brook Univ. (United States)
Donald P. Harrington, Stony Brook Univ. (United States)
Zhengrong Liang, Stony Brook Univ. (United States)

Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato III; Nicholas A. Petrick, Editor(s)

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