Literature DB >> 11376255

Colorectal neoplasia: performance characteristics of CT colonography for detection in 300 patients.

J Yee1, G A Akerkar, R K Hung, A M Steinauer-Gebauer, S D Wall, K R McQuaid.   

Abstract

PURPOSE: To determine the sensitivity and specificity of computed tomographic (CT) colonography for colorectal polyp and cancer detection by using colonoscopy as the reference standard.
MATERIALS AND METHODS: Three hundred patients underwent CT colonography followed by standard colonoscopy. Bowel preparation consisted of magnesium citrate and polyethylene glycol. After colonic air insufflation, patients underwent scanning in the supine and prone positions with 3-mm collimation during a single breath hold. The transverse CT images, sagittal and coronal reformations, and three-dimensional endoluminal images were interpreted by two radiologists independently, and then a consensus reading was performed. CT colonographic findings were correlated with standard colonoscopic and histologic findings.
RESULTS: The overall sensitivity and specificity of CT colonography for polyp detection were 90.1% (164 of 182) and 72.0% (85 of 118), respectively. By using direct polyp matching, the overall sensitivity was 69.7% (365 of 524). The sensitivity was 90% (74 of 82) for the detection of polyps 10 mm or larger, 80.1% (113 of 141) for polyps 5.0-9.9 mm, and 59.1% (178 of 301) for polyps smaller than 5 mm. The sensitivity was 94% (64 of 68) for the detection of adenomas 10 mm or larger, 82% (72 of 88) for adenomas 5.0-9.9 mm, and 66.9% (95 of 142) for adenomas smaller than 5 mm. CT colonography was used to identify all eight carcinomas.
CONCLUSION: CT colonography has excellent sensitivity for the detection of clinically important colorectal polyps and cancer.

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Year:  2001        PMID: 11376255     DOI: 10.1148/radiology.219.3.r01jn40685

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  65 in total

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2.  The virtuosity of virtuality or how real is virtual colonography.

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Review 3.  Multidetector CT of the colon.

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Authors:  Stuart A Taylor; Steve Halligan; David Burling; Simon Morley; Paul Bassett; Wendy Atkin; Clive I Bartram
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6.  An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy.

Authors:  Su Wang; Lihong Li; Harris Cohen; Seth Mankes; John J Chen; Zhengrong Liang
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Review 7.  CT colonography for population screening: ready for prime time?

Authors:  Perry J Pickhardt
Journal:  Dig Dis Sci       Date:  2014-12-10       Impact factor: 3.199

8.  CT attenuation of colorectal polypoid lesions: evaluation of contrast enhancement in CT colonography.

Authors:  Aytekin Oto; Veli Gelebek; Berna Sayan Oguz; Bülent Sivri; Ahmet Deger; Okan Akhan; Aytekin Besim
Journal:  Eur Radiol       Date:  2002-12-12       Impact factor: 5.315

9.  Computed tomography colonography (virtual colonoscopy): climax of a new era of validation and transition into community practice.

Authors:  Jacob Thomas; Jeffrey Carenza; Elizabeth McFarland
Journal:  Clin Colon Rectal Surg       Date:  2008-08

10.  Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.

Authors:  Tsuyoshi Morimoto; Gen Iinuma; Junji Shiraishi; Yasuaki Arai; Noriyuki Moriyama; Gareth Beddoe; Yasuo Nakijima
Journal:  Radiat Med       Date:  2008-07-27
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