Literature DB >> 16304111

CT colonography in the detection of colorectal polyps and cancer: systematic review, meta-analysis, and proposed minimum data set for study level reporting.

Steve Halligan1, Douglas G Altman, Stuart A Taylor, Susan Mallett, Jonathan J Deeks, Clive I Bartram, Wendy Atkin.   

Abstract

PURPOSE: To assess the methodologic quality of available data in published reports of computed tomographic (CT) colonography by performing systematic review and meta-analysis.
MATERIALS AND METHODS: The MEDLINE database was searched for colonography reports published between 1994 and 2003, without language restriction. The terms colonography, colography, CT colonoscopy, CT pneumocolon, virtual colonoscopy, and virtual endoscopy were used. Studies were selected if the focus was detection of colorectal polyps verified with within-subject reference colonoscopy by using key methodologic criteria based on information presented at the Fourth International Symposium on Virtual Colonoscopy (Boston, Mass). Two reviewers independently abstracted methodologic characteristics. Per-patient and per-polyp detection rates were extracted, and authors were contacted, when necessary. Per-patient sensitivity and specificity were calculated for different lesion size categories, and Forest plots were produced. Meta-analysis of paired sensitivity and specificity was conducted by using a hierarchical model that enabled estimation of summary receiver operating characteristic curves allowing for variation in diagnostic threshold, and the average operating point was calculated. Per-polyp sensitivity was also calculated.
RESULTS: Of 1398 studies considered for inclusion, 24 met our criteria. There were 4181 patients with a study prevalence of abnormality of 15%-72%. Meta-analysis of 2610 patients, 206 of whom had large polyps, showed high per-patient average sensitivity (93%; 95% confidence interval [CI]: 73%, 98%) and specificity (97%; 95% CI: 95%, 99%) for colonography; sensitivity and specificity decreased to 86% (95% CI: 75%, 93%) and 86% (95% CI: 76%, 93%), respectively, when the threshold was lowered to include medium polyps. When polyps of all sizes were included, studies were too heterogeneous in sensitivity (range, 45%-97%) and specificity (range, 26%-97%) to allow meaningful meta-analysis. Of 150 cancers, 144 were detected (sensitivity, 95.9%; 95% CI: 91.4%, 98.5%). Data reporting was frequently incomplete, with no generally accepted format.
CONCLUSION: CT colonography seems sufficiently sensitive and specific in the detection of large and medium polyps; it is especially sensitive in the detection of symptomatic cancer. Studies are poorly reported, however, and the authors propose a minimum data set for study reporting. RSNA, 2005

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Year:  2005        PMID: 16304111     DOI: 10.1148/radiol.2373050176

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


  86 in total

1.  CT colonography before colonoscopy in subjects with positive faecal occult blood test. Preliminary experience.

Authors:  L Sali; M Falchini; P Della Monica; D Regge; A G Bonanomi; G Castiglione; G Grazzini; M Zappa; F Mungai; C Volpe; M Mascalchi
Journal:  Radiol Med       Date:  2010-07-31       Impact factor: 3.469

2.  Water-enema multidetector computed tomography for planning surgery.

Authors:  A Venara; C Ridereau-Zins; L Toque; E Cesbron; S Michalak; E Lermite; C Aube; A Hamy
Journal:  Int J Colorectal Dis       Date:  2015-02-27       Impact factor: 2.571

3.  Screening options and recommendations for colorectal cancer.

Authors:  Timothy M Geiger; Rocco Ricciardi
Journal:  Clin Colon Rectal Surg       Date:  2009-11

Review 4.  Trends in oncological CT imaging: clinical application of multidetector-row CT and 3D-CT imaging.

Authors:  Takuya Ueda; Kensaku Mori; Manabu Minami; Ken Motoori; Hisao Ito
Journal:  Int J Clin Oncol       Date:  2006-08       Impact factor: 3.402

5.  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

Review 6.  Computed tomography colonography in 2014: an update on technique and indications.

Authors:  Andrea Laghi
Journal:  World J Gastroenterol       Date:  2014-12-07       Impact factor: 5.742

7.  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

8.  Rectal cancer staging.

Authors:  James S Wu
Journal:  Clin Colon Rectal Surg       Date:  2007-08

9.  Polyp surveillance.

Authors:  W Donald Buie; Anthony R MacLean
Journal:  Clin Colon Rectal Surg       Date:  2008-11

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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