Paper
21 May 2001 CT colonscopy: experience of 100 cases using volumetric rendering
Kenneth D. Hopper, Mukul Khandelwal, Christopher Thompson
Author Affiliations +
Abstract
Objective: To evaluate the efficacy of Ct colonoscopy for polyp detection using volumetric rendering and comparison to actual colonoscopy. Materials and Methods: 100 patients had CT colonoscopy performed by the same blinded experienced radiologist just prior to their actual colonoscopy. The number of polyps found by both techniques was compared as a function of their pathologically measured size. Complications of both procedures were assessed and ancillary findings found on noncontrast CT were also evaluated for significance. Results: 61 polyps were found by colonoscopy and resected, including 23 which were hyperplastic polyps, 35 tubular adenomas, and 3 villous adenomas. 34 were < 5 mm, 18 5 - 9 mm, and 9 were >= 10 mm in diameter. The sensitivity of CT colonoscopy for < 5 mm polyps was 11.8%, for 5 - 9 mm polyps, 61.1%, and for >= 10 mm, 100%, including the 3 villous adenomas. Evaluating by patient, of the 19 patients who one or more >= 5 mm polyps found by colonoscopy, 17 had polyps identified by CT colonoscopy. The remaining 2 patients with a normal CT colonoscopy had polyps 5 - 9 mm in size. There were no significant complications from CT colonoscopy, but 3 serious complications from actual colonoscopy. CT colonoscopy discovered significant noncolonic pathology in 10 patients. Conclusion: CT colonoscopy performed with volumetric rendering has moderate sensitivity for detecting polyps 5 - 9 mm in size and is highly sensitive for clinically significant polyps >= 10 mm in size.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth D. Hopper, Mukul Khandelwal, and Christopher Thompson "CT colonscopy: experience of 100 cases using volumetric rendering", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428177
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Cited by 7 scholarly publications.
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KEYWORDS
Computed tomography

Colon

Colorectal cancer

Medicine

Visualization

Virtual colonoscopy

Virtual reality

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