Literature DB >> 14657426

Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults.

Perry J Pickhardt1, J Richard Choi, Inku Hwang, James A Butler, Michael L Puckett, Hans A Hildebrandt, Roy K Wong, Pamela A Nugent, Pauline A Mysliwiec, William R Schindler.   

Abstract

BACKGROUND: We evaluated the performance characteristics of computed tomographic (CT) virtual colonoscopy for the detection of colorectal neoplasia in an average-risk screening population.
METHODS: A total of 1233 asymptomatic adults (mean age, 57.8 years) underwent same-day virtual and optical colonoscopy. Radiologists used the three-dimensional endoluminal display for the initial detection of polyps on CT virtual colonoscopy. For the initial examination of each colonic segment, the colonoscopists were unaware of the findings on virtual colonoscopy, which were revealed to them before any subsequent reexamination. The sensitivity and specificity of virtual colonoscopy and the sensitivity of optical colonoscopy were calculated with the use of the findings of the final, unblinded optical colonoscopy as the reference standard.
RESULTS: The sensitivity of virtual colonoscopy for adenomatous polyps was 93.8 percent for polyps at least 10 mm in diameter, 93.9 percent for polyps at least 8 mm in diameter, and 88.7 percent for polyps at least 6 mm in diameter. The sensitivity of optical colonoscopy for adenomatous polyps was 87.5 percent, 91.5 percent, and 92.3 percent for the three sizes of polyps, respectively. The specificity of virtual colonoscopy for adenomatous polyps was 96.0 percent for polyps at least 10 mm in diameter, 92.2 percent for polyps at least 8 mm in diameter, and 79.6 percent for polyps at least 6 mm in diameter. Two polyps were malignant; both were detected on virtual colonoscopy, and one of them was missed on optical colonoscopy before the results on virtual colonoscopy were revealed.
CONCLUSIONS: CT virtual colonoscopy with the use of a three-dimensional approach is an accurate screening method for the detection of colorectal neoplasia in asymptomatic average-risk adults and compares favorably with optical colonoscopy in terms of the detection of clinically relevant lesions. Copyright 2003 Massachusetts Medical Society

Entities:  

Mesh:

Year:  2003        PMID: 14657426     DOI: 10.1056/NEJMoa031618

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  418 in total

Review 1.  Improving the accuracy of CTC interpretation: computer-aided detection.

Authors:  Ronald M Summers
Journal:  Gastrointest Endosc Clin N Am       Date:  2010-04

2.  Optimizing area under the ROC curve using semi-supervised learning.

Authors:  Shijun Wang; Diana Li; Nicholas Petrick; Berkman Sahiner; Marius George Linguraru; Ronald M Summers
Journal:  Pattern Recognit       Date:  2015-01-01       Impact factor: 7.740

3.  Automated image-based colon cleansing for laxative-free CT colonography computer-aided polyp detection.

Authors:  Marius George Linguraru; Neil Panjwani; Joel G Fletcher; Ronald M Summers
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

4.  Computed tomography colonography: colon examination or Pandora's box.

Authors:  R Iannaccone; A Laghi; C Catalano; F Mangiapane; D Marin; R Passariello
Journal:  Gut       Date:  2004-06       Impact factor: 23.059

5.  Role of low-dose, noncontrast computed tomography from integrated positron emission tomography/computed tomography in evaluating incidental 2-deoxy-2-[F-18]fluoro-D-glucose-avid colon lesions.

Authors:  S T Lee; T Tan; A M T Poon; H B Toh; S Gill; S U Berlangieri; E Kraft; A J Byrne; K Pathmaraj; G J O'Keefe; N Tebbutt; A M Scott
Journal:  Mol Imaging Biol       Date:  2007-11-10       Impact factor: 3.488

6.  Predicting polyp location on optical colonoscopy from CT colonography by minimal-energy curve modeling of the colonoscope path.

Authors:  Jiamin Liu; Kevin W Chang; Jianhua Yao; Ronald M Summers
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-28       Impact factor: 4.538

7.  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
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

Review 8.  CT colonography in the diagnosis and management of colorectal cancer: emphasis on pre- and post-surgical evaluation.

Authors:  Nurhee Hong; Seong Ho Park
Journal:  World J Gastroenterol       Date:  2014-02-28       Impact factor: 5.742

9.  Does training and experience influence the accuracy of computed tomography colonography interpretation?

Authors:  Greg Rosenfeld; Yi Tzu Nancy Fu; Brendan Quiney; Hong Qian; Darin Krygier; Jacquie Brown; Patrick Vos; Pari Tiwari; Jennifer Telford; Brian Bressler; Robert Enns
Journal:  World J Gastroenterol       Date:  2014-02-14       Impact factor: 5.742

10.  Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto fronta.

Authors:  Jiang Li; Adam Huang; Jack Yao; Jiamin Liu; Robert L Van Uitert; Nicholas Petrick; Ronald M Summers
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.