Literature DB >> 15143228

Pitfalls, artifacts, and remedies in multi- detector row CT coronary angiography.

Hyun Seok Choi1, Byoung Wook Choi, Kyu Ok Choe, Donghoon Choi, Kyung-Jong Yoo, Myoung-In Kim, Jinna Kim.   

Abstract

Coronary angiography is increasingly performed with multi-detector row computed tomography (CT) in the clinical setting. Successful use of this method, however, depends on the radiologist's knowledge of its potential pitfalls and familiarity with methods for minimizing or avoiding them. To identify artifacts and other pitfalls that commonly degrade image quality and that could result in misinterpretation, contrast-enhanced coronary angiograms acquired with a multi-detector row CT scanner with four detector rows in 110 consecutive patients were analyzed. The problems identified were classified into four broad categories: (a) motion-related artifacts caused by cardiac, pulmonary, or other body motion; (b) beam-hardening effects caused by metallic implants, severe calcifications, or air bubbles in the pulmonary artery that obscured the underlying coronary vessel lumen; (c) structural artifacts produced by adjacent contrast material-filled structures and overlying vessels; and (d) artifacts that resulted from technical errors or limitations. The most frequently observed artifacts were those related to cardiac motion. The most effective methods for minimizing cardiac motion artifacts are (a) premedication with beta-blockers to maintain optimal heart rate during scanning and (b) optimal selection of the reconstruction window. Copyright RSNA, 2004

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Year:  2004        PMID: 15143228     DOI: 10.1148/rg.243035502

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  19 in total

Review 1.  A practical guide to reading CT coronary angiograms--how to avoid mistakes when assessing for coronary stenoses.

Authors:  John W M Hoe; Kok Hong Toh
Journal:  Int J Cardiovasc Imaging       Date:  2006-12-21       Impact factor: 2.357

2.  Optimal image reconstruction intervals for non-invasive coronary angiography with 64-slice CT.

Authors:  Sebastian Leschka; Lars Husmann; Lotus M Desbiolles; Oliver Gaemperli; Tiziano Schepis; Pascal Koepfli; Thomas Boehm; Borut Marincek; Philipp A Kaufmann; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2006-05-13       Impact factor: 5.315

3.  Facilitating coronary artery evaluation in MDCT using a 3D automatic vessel segmentation tool.

Authors:  M Fawad Khan; Stefan Wesarg; Jessen Gurung; Selami Dogan; Adel Maataoui; Boris Brehmer; Christopher Herzog; Hanns Ackermann; Birgit Assmus; Thomas J Vogl
Journal:  Eur Radiol       Date:  2006-03-10       Impact factor: 5.315

Review 4.  Multidetector CT and coronary artery bypass grafts.

Authors:  F Crusco; A Antoniella; V Papa; D Di Lazzaro; T Ragni; A Giovagnoni
Journal:  Radiol Med       Date:  2007-12-13       Impact factor: 3.469

5.  Letter to the Editor: re: Body physique and heart rate variability determine the occurrence of stair-step artefacts in 64-slice CT coronary angiography with prospective ECG-triggering.

Authors:  Felipe S Torres; Andrew M Crean; Narinder Paul
Journal:  Eur Radiol       Date:  2009-12       Impact factor: 5.315

6.  Cardiac computed tomography in the evaluation of left anterior descending coronary artery with vein patch reconstruction.

Authors:  M Fusaro; N Faccioli; E Calderon; F Santini; A Palumbo; G Morana; F Cademartiri; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2009-09-30       Impact factor: 3.469

7.  Body physique and heart rate variability determine the occurrence of stair-step artefacts in 64-slice CT coronary angiography with prospective ECG-triggering.

Authors:  Lars Husmann; Bernhard A Herzog; Nina Burkhard; Fuminari Tatsugami; Ines Valenta; Oliver Gaemperli; Christophe A Wyss; Ulf Landmesser; Philipp A Kaufmann
Journal:  Eur Radiol       Date:  2009-02-24       Impact factor: 5.315

8.  Method for automatic tube current selection for obtaining a consistent image quality and dose optimization in a cardiac multidetector CT.

Authors:  Weiwei Qi; Jianying Li; Xiangke Du
Journal:  Korean J Radiol       Date:  2009 Nov-Dec       Impact factor: 3.500

9.  Automated computer-aided stenosis detection at coronary CT angiography: initial experience.

Authors:  Elisabeth Arnoldi; Mulugeta Gebregziabher; U Joseph Schoepf; Roman Goldenberg; Luis Ramos-Duran; Peter L Zwerner; Konstantin Nikolaou; Maximilian F Reiser; Philip Costello; Christian Thilo
Journal:  Eur Radiol       Date:  2009-11-05       Impact factor: 5.315

10.  Diagnostic accuracy of MDCT coronary angiography in patients referred for heart valve surgery.

Authors:  N Stagnaro; D Della Latta; D Chiappino
Journal:  Radiol Med       Date:  2009-05-30       Impact factor: 3.469

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