Literature DB >> 18210054

[CT colonography: techniques of visualization and findings].

J Wessling1, W Heindel.   

Abstract

Evaluation and interpretation of CT colonography is based on both 2D and 3D techniques. The 2D techniques are popular mainly because the time needed for evaluation is short. The 3D techniques allow better definition than the 2D techniques, especially of polyps close to folds or at the base of a fold. The evaluation strategies generally accepted so far (primarily 2D, with 3D for problem cases, or vice versa) demand knowledge of both 2D and 3D techniques. Newer 3D visualization techniques help make it possible to acquire more complete and faster recording particularly of areas that are not easily accessible to endoscopic examination. These user-friendly developments are thus well suited to improving the detection and the security of detection of polyps. It must be remembered that experience and the knowledge of associated artifacts and the limitations they can impose on diagnosis are prime requirements for the implementation of such visualization techniques.

Entities:  

Mesh:

Year:  2008        PMID: 18210054     DOI: 10.1007/s00117-007-1604-7

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  13 in total

1.  Quality and consistency in CT colonography and research reporting.

Authors:  Abraham H Dachman; Michael E Zalis
Journal:  Radiology       Date:  2004-02       Impact factor: 11.105

2.  Three-dimensional display modes for CT colonography: conventional 3D virtual colonoscopy versus unfolded cube projection.

Authors:  Frans M Vos; Rogier E van Gelder; Iwo W O Serlie; Jasper Florie; C Yung Nio; Afina S Glas; Frits H Post; Roel Truyen; Frans A Gerritsen; Jaap Stoker
Journal:  Radiology       Date:  2003-09       Impact factor: 11.105

Review 3.  Electronic cleansing and stool tagging in CT colonography: advantages and pitfalls with primary three-dimensional evaluation.

Authors:  Perry J Pickhardt; Jong-Ho Richard Choi
Journal:  AJR Am J Roentgenol       Date:  2003-09       Impact factor: 3.959

4.  Virtual colon dissection with CT colonography compared with axial interpretation and conventional colonoscopy: preliminary results.

Authors:  Hanno Hoppe; Cristiana Quattropani; Adrian Spreng; Jörg Mattich; Peter Netzer; Hans-Peter Dinkel
Journal:  AJR Am J Roentgenol       Date:  2004-05       Impact factor: 3.959

5.  CT colonography: comparison of a colon dissection display versus 3D endoluminal view for the detection of polyps.

Authors:  Markus S Juchems; Thorsten R Fleiter; Sandra Pauls; Stefan A Schmidt; Hans-Jürgen Brambs; Andrik J Aschoff
Journal:  Eur Radiol       Date:  2005-06-14       Impact factor: 5.315

6.  Virtual fly-over: a new visualization technique for virtual colonoscopy.

Authors:  M Sabry Hassouna; A A Farag; Robert Falk
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

7.  Automated polyp measurement with CT colonography: preliminary observations in a phantom colon model.

Authors:  Joel G Fletcher; Fargol Booya; Zachary Melton; Kristina Johnson; Lutz Guendel; Bernhard Schmidt; Cynthia H McCollough; Brett Young; Jeff L Fidler; William S Harmsen
Journal:  AJR Am J Roentgenol       Date:  2007-04       Impact factor: 3.959

8.  Surface visualization at 3D endoluminal CT colonography: degree of coverage and implications for polyp detection.

Authors:  Perry J Pickhardt; Andrew J Taylor; Deepak V Gopal
Journal:  Gastroenterology       Date:  2006-05       Impact factor: 22.682

9.  CT colonography using different reconstruction modi.

Authors:  Rainer Röttgen; Frank Fischbach; Michail Plotkin; Michael Lorenz; Torsten Freund; Ralf Jürgen Schröder; Roland R Felix
Journal:  Clin Imaging       Date:  2005 May-Jun       Impact factor: 1.605

10.  Polyp size at CT colonography after electronic subtraction cleansing in an anthropomorphic colon phantom.

Authors:  Michael E Zalis; James J Perumpillichira; John Y Kim; Chiara Del Frate; Cordula Magee; Peter F Hahn
Journal:  Radiology       Date:  2005-07       Impact factor: 11.105

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