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 21 November 2017

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News

Computed tomographic virtual colonoscopy for colorectal neoplasia screening

Computed tomographic virtual colonoscopy, with the use of a 3-dimensional approach, is an accurate screening method for the detection of colorectal neoplasia, find physicians in the latest issue of the New England Journal of Medicine.

News image

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Physicians from the United States have evaluated computed tomographic (CT) virtual colonoscopy for the detection of colorectal neoplasia in an average-risk screening population.

The study included 1233 asymptomatic adults with a mean age of 57.8 years, who underwent same-day virtual and optical colonoscopy.

The radiologists used the 3-dimensional endoluminal display for the initial detection of polyps on CT virtual colonoscopy.

For the initial examination, the colonoscopists were unaware of the findings on virtual colonoscopy.
Both malignant polyps were detected on virtual colonoscopy.
New England Journal of Medicine

The team calculated the sensitivity and specificity of virtual colonoscopy, and the sensitivity of optical colonoscopy, using the findings of a final, unblinded optical colonoscopy.

The physicians found that the sensitivity of virtual colonoscopy for adenomatous polyps was 94% for polyps ≥10 mm in diameter, 94% for polyps ≥8 mm, and 89% for polyps ≥ 6 mm.

In comparison, they found that the sensitivity of optical colonoscopy for adenomatous polyps was 88%, 92%, and 92%, respectively.

The team found that the specificity of virtual colonoscopy for adenomatous polyps was 96% for polyps ≥10 mm in diameter, 92% for polyps ≥8 mm in diameter, and 80% for polyps ≥6 mm in diameter.

Overall, 2 polyps were malignant. Both of these were detected on virtual colonoscopy. The team found that 1 was missed on optical colonoscopy.

Dr Perry Pickhardt's team concluded, "CT virtual colonoscopy with the use of a 3-dimensional approach is an accurate screening method for the detection of colorectal neoplasia".

It, "Compares favorably with optical colonoscopy in terms of the detection of clinically relevant lesions".

N Engl J Med 2003; 349(23): 2191-2200
05 December 2003

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