Literature DB >> 32488269

Computed tomography coronary angiography - past, present and future.

Pei Ing Ngam1, Ching Ching Ong1, Ping Chai2, Siong Sung Wong2, Chong Ri Liang1, Lynette Li San Teo1.   

Abstract

Computed tomography coronary angiography (CTCA) is a robust and reliable non-invasive alternative imaging modality to invasive coronary angiography, which is the reference standard in evaluating the degree of coronary artery stenosis. CTCA has high negative predictive value and can confidently exclude significant coronary artery disease (CAD) in low to intermediate risk patients. Over the years, substantial effort has been made to reduce the radiation dose and increase the cost efficiency of CTCA. In this review, we present the evolution of computed tomography scanners in the context of coronary artery imaging as well as its clinical applications and limitations. We also highlight the future directions of CTCA as a one-stop non-invasive imaging modality for anatomic and functional assessment of CAD. Copyright: © Singapore Medical Association.

Entities:  

Keywords:  CT scanners; cardiac imaging; computed tomography; coronary angiography; coronary artery disease

Mesh：

Year:  2020        PMID： 32488269      PMCID： PMC7905109          DOI： 10.11622/smedj.2020028

Source DB:  PubMed          Journal:  Singapore Med J        ISSN： 0037-5675            Impact factor:   1.858


  45 in total

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2.  Diagnostic performance of 16- and 64-section spiral CT for coronary artery bypass graft assessment: meta-analysis.

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3.  High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial.

Authors:  Stefan B Puchner; Ting Liu; Thomas Mayrhofer; Quynh A Truong; Hang Lee; Jerome L Fleg; John T Nagurney; James E Udelson; Udo Hoffmann; Maros Ferencik
Journal:  J Am Coll Cardiol       Date:  2014-08-19       Impact factor: 24.094

Review 4.  Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis.

Authors:  Szilard Voros; Sarah Rinehart; Zhen Qian; Parag Joshi; Gustavo Vazquez; Collin Fischer; Pallavi Belur; Edward Hulten; Todd C Villines
Journal:  JACC Cardiovasc Imaging       Date:  2011-05

Review 5.  Stress myocardial perfusion: imaging with multidetector CT.

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Journal:  Radiology       Date:  2014-01       Impact factor: 11.105

Review 6.  Radiobiology in Cardiovascular Imaging.

Authors:  Pat Zanzonico; Lawrence Dauer; H William Strauss
Journal:  JACC Cardiovasc Imaging       Date:  2016-12

7.  Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study.

Authors:  W Bob Meijboom; Matthijs F L Meijs; Joanne D Schuijf; Maarten J Cramer; Nico R Mollet; Carlos A G van Mieghem; Koen Nieman; Jacob M van Werkhoven; Gabija Pundziute; Annick C Weustink; Alexander M de Vos; Francesca Pugliese; Benno Rensing; J Wouter Jukema; Jeroen J Bax; Mathias Prokop; Pieter A Doevendans; Myriam G M Hunink; Gabriel P Krestin; Pim J de Feyter
Journal:  J Am Coll Cardiol       Date:  2008-12-16       Impact factor: 24.094

8.  Coronary CT angiography versus standard evaluation in acute chest pain.

Authors:  Udo Hoffmann; Quynh A Truong; David A Schoenfeld; Eric T Chou; Pamela K Woodard; John T Nagurney; J Hector Pope; Thomas H Hauser; Charles S White; Scott G Weiner; Shant Kalanjian; Michael E Mullins; Issam Mikati; W Frank Peacock; Pearl Zakroysky; Douglas Hayden; Alexander Goehler; Hang Lee; G Scott Gazelle; Stephen D Wiviott; Jerome L Fleg; James E Udelson
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9.  How to use a prospective gated technique for cardiac CT.

Authors:  James P Earls
Journal:  J Cardiovasc Comput Tomogr       Date:  2008-11-05

Review 10.  "Virtual" (Computed) Fractional Flow Reserve: Current Challenges and Limitations.

Authors:  Paul D Morris; Frans N van de Vosse; Patricia V Lawford; D Rodney Hose; Julian P Gunn
Journal:  JACC Cardiovasc Interv       Date:  2015-06-24       Impact factor: 11.195
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2.  Computed Tomography Image Features under Deep Learning Algorithm Applied in Staging Diagnosis of Bladder Cancer and Detection on Ceramide Glycosylation.

Authors:  Yisheng Xu; Jianghua Lou; Zhiqin Gao; Ming Zhan
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3.  Intelligent Algorithm-Based Coronary Angiography Characteristics of Acute Non-ST-Segment Elevation Myocardial Infarction Patients with Different Genders.

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  3 in total

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