Literature DB >> 33775584

The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography.

Alan C Kwan1, Heidi Gransar1, Evangelos Tzolos2, Billy Chen1, Yuka Otaki1, Eyal Klein1, Adele J Pope1, Donghee Han1, Andrew Howarth3, Nishita Jain1, Damini Dey1, Robert Jh Miller3, Victor Cheng4, Babak Azarbal1, Daniel S Berman5.   

Abstract

BACKGROUND: High amounts of coronary artery calcium (CAC) pose challenges in interpretation of coronary CT angiography (CCTA). The accuracy of stenosis assessment by CCTA in patients with very extensive CAC is uncertain.
METHODS: Retrospective study was performed including patients who underwent clinically directed CCTA with CAC score >1000 and invasive coronary angiography within 90 days. Segmental stenosis on CCTA was graded by visual inspection with two-observer consensus using categories of 0%, 1-24%, 25-49%, 50-69%, 70-99%, 100% stenosis, or uninterpretable. Blinded quantitative coronary angiography (QCA) was performed on all segments with stenosis ≥25% by CCTA. The primary outcome was vessel-based agreement between CCTA and QCA, using significant stenosis defined by diameter stenosis ≥70%. Secondary analyses on a per-patient basis and inclusive of uninterpretable segments were performed.
RESULTS: 726 segments with stenosis ≥25% in 346 vessels within 119 patients were analyzed. Median coronary calcium score was 1616 (1221-2118). CCTA identification of QCA-based stenosis resulted in a per-vessel sensitivity of 79%, specificity of 75%, positive predictive value (PPV) of 45%, negative predictive value (NPV) of 93%, and accuracy 76% (68 false positive and 15 false negative). Per-patient analysis had sensitivity 94%, specificity 55%, PPV 63%, NPV 92%, and accuracy 72% (30 false-positive and 3 false-negative). Inclusion of uninterpretable segments had variable effect on sensitivity and specificity, depending on whether they are considered as significant or non-significant stenosis.
CONCLUSIONS: In patients with very extensive CAC (>1000 Agatston units), CCTA retained a negative predictive value ​> ​90% to identify lack of significant stenosis on a per-vessel and per-patient level, but frequently overestimated stenosis.
Copyright © 2021 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accuracy; Coronary CT angiography; Coronary artery calcium; Coronary calcium score; Quantitative coronary angiography; Stenosis

Mesh:

Substances:

Year:  2021        PMID: 33775584      PMCID: PMC8403134          DOI: 10.1016/j.jcct.2021.03.007

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  31 in total

1.  Quantification of coronary artery calcium using ultrafast computed tomography.

Authors:  A S Agatston; W R Janowitz; F J Hildner; N R Zusmer; M Viamonte; R Detrano
Journal:  J Am Coll Cardiol       Date:  1990-03-15       Impact factor: 24.094

Review 2.  Artifacts at Cardiac CT: Physics and Solutions.

Authors:  Kevin Kalisz; Ji Buethe; Sachin S Saboo; Suhny Abbara; Sandra Halliburton; Prabhakar Rajiah
Journal:  Radiographics       Date:  2016-10-21       Impact factor: 5.333

3.  SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee.

Authors:  Jonathon Leipsic; Suhny Abbara; Stephan Achenbach; Ricardo Cury; James P Earls; Gb John Mancini; Koen Nieman; Gianluca Pontone; Gilbert L Raff
Journal:  J Cardiovasc Comput Tomogr       Date:  2014-07-24

4.  Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography.

Authors:  Hidenobu Takagi; Ryoichi Tanaka; Kyohei Nagata; Ryo Ninomiya; Kazumasa Arakita; Joanne D Schuijf; Kunihiro Yoshioka
Journal:  Eur J Radiol       Date:  2018-02-01       Impact factor: 3.528

5.  Coronary artery stenoses: accuracy of 64-detector row CT angiography in segments with mild, moderate, or severe calcification--a subanalysis of the CORE-64 trial.

Authors:  Andrea L Vavere; Armin Arbab-Zadeh; Carlos E Rochitte; Marc Dewey; Hiroyuki Niinuma; Ilan Gottlieb; Melvin E Clouse; David E Bush; John W M Hoe; Albert de Roos; Christopher Cox; João A C Lima; Julie M Miller
Journal:  Radiology       Date:  2011-08-09       Impact factor: 11.105

6.  Outcomes of anatomical versus functional testing for coronary artery disease.

Authors:  Pamela S Douglas; Udo Hoffmann; Manesh R Patel; Daniel B Mark; Hussein R Al-Khalidi; Brendan Cavanaugh; Jason Cole; Rowena J Dolor; Christopher B Fordyce; Megan Huang; Muhammad Akram Khan; Andrzej S Kosinski; Mitchell W Krucoff; Vinay Malhotra; Michael H Picard; James E Udelson; Eric J Velazquez; Eric Yow; Lawton S Cooper; Kerry L Lee
Journal:  N Engl J Med       Date:  2015-03-14       Impact factor: 91.245

7.  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
Journal:  N Engl J Med       Date:  2012-07-26       Impact factor: 91.245

Review 8.  Systematic review of the accuracy of dual-source cardiac CT for detection of arterial stenosis in difficult to image patient groups.

Authors:  Marie E Westwood; Heike D I Raatz; Kate Misso; Laura Burgers; Ken Redekop; Stefan K Lhachimi; Nigel Armstrong; Jos Kleijnen
Journal:  Radiology       Date:  2013-02-07       Impact factor: 11.105

9.  Ultra-High-Resolution Computed Tomography Angiography for Assessment of Coronary Artery Stenosis.

Authors:  Sadako Motoyama; Hajime Ito; Masayoshi Sarai; Yasuomi Nagahara; Keiichi Miyajima; Ryota Matsumoto; Yujiro Doi; Yumi Kataoka; Hiroshi Takahashi; Yukio Ozaki; Hiroshi Toyama; Kazuhiro Katada
Journal:  Circ J       Date:  2018-05-09       Impact factor: 2.993

10.  Coronary CT Angiography in Heavily Calcified Coronary Arteries: Improvement of Coronary Lumen Visualization and Coronary Stenosis Assessment With Image Postprocessing Methods.

Authors:  Zhonghua Sun; Curtise K C Ng; Lei Xu; Zhanming Fan; Jing Lei
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

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  1 in total

1.  Coronary artery calcification-does it predict the CAD-RADS category?

Authors:  Maryam Moradi; Ebrahim Rafiei; Sina Rasti; Hossein Haghbin
Journal:  Emerg Radiol       Date:  2022-08-04
  1 in total

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