Literature DB >> 15798060

Pitfalls in 16-detector row CT of the coronary arteries.

Tadashi Nakanishi1, Yasuyo Kayashima, Rintaro Inoue, Kotaro Sumii, Yukihiko Gomyo.   

Abstract

Recently developed 16-detector row computed tomography (CT) has been introduced as a reliable noninvasive imaging modality for evaluating the coronary arteries. In most cases, with appropriate premedication that includes beta-blockers and nitroglycerin, ideal data sets can be acquired from which to obtain excellent-quality coronary CT angiograms, most often with multiplanar reformation, thin-slab maximum intensity projection, and volume rendering. However, various artifacts associated with data creation and reformation, postprocessing methods, and image interpretation can hamper accurate diagnosis. These artifacts can be related to pulsation (nonassessable segments, pseudostenosis) as well as rhythm disorders, respiratory issues, partial volume averaging effect, high-attenuation entities, inappropriate scan pitch, contrast material enhancement, and patient body habitus. Some artifacts have already been resolved with technical advances, whereas others represent partially inherent limitations of coronary CT angiography. Familiarity with the pitfalls of coronary angiography with 16-detector row CT, coupled with the knowledge of both the normal anatomy and anatomic variants of the coronary arteries, can almost always help radiologists avoid interpretive errors in the diagnosis of coronary artery stenosis. (c) RSNA, 2005.

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Mesh:

Year:  2005        PMID: 15798060     DOI: 10.1148/rg.252045098

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


  9 in total

1.  Concept of minimal heart rate for each pitch value to avoid interpolation artifact when using dual-source CT: a phantom study.

Authors:  Joon-Won Kang; Kyung-Hyun Do; Jae-Yeon Chung; Hyun Jong Cho; Joon Beom Seo; Tae-Hwan Lim
Journal:  Int J Cardiovasc Imaging       Date:  2010-01-30       Impact factor: 2.357

Review 2.  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

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.  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

7.  [Coronary heart-CT].

Authors:  N Faucheron; P Reimer
Journal:  Radiologe       Date:  2008-07       Impact factor: 0.635

8.  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

9.  Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography.

Authors:  Lubomir Hadjiiski; Jordan Liu; Heang-Ping Chan; Chuan Zhou; Jun Wei; Aamer Chughtai; Jean Kuriakose; Prachi Agarwal; Ella Kazerooni
Journal:  Comput Math Methods Med       Date:  2016-09-19       Impact factor: 2.238

  9 in total

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