Literature DB >> 25159031

Automatic detection and quantification of the Agatston coronary artery calcium score on contrast computed tomography angiography.

Wehab Ahmed1, Michiel A de Graaf, Alexander Broersen, Pieter H Kitslaar, Elco Oost, Jouke Dijkstra, Jeroen J Bax, Johan H C Reiber, Arthur J Scholte.   

Abstract

Potentially, Agatston coronary artery calcium (CAC) score could be calculated on contrast computed tomography coronary angiography (CTA). This will make a separate non-contrast CT scan superfluous. This study aims to assess the performance of a novel fully automatic algorithm to detect and quantify the Agatston CAC score in contrast CTA images. From a clinical registry, 20 patients were randomly selected for each CAC category (i.e. 0, 1-99, 100-399, 400-999, ≥1,000). The Agatston CAC score on non-contrast CT was calculated manually, while the novel algorithm was used to automatically detect and quantify Agatston CAC score in contrast CTA images. The resulting Agatston CAC scores were validated against the non-contrast images. A total of 100 patients (60 ± 11 years, 63 men) were included. The median CAC score on non-contrast CT was 145 (IQR 5-760), whereas the contrast CTA CAC score was 170 (IQR 23-594) (P = 0.004). The automatically computed CAC score showed a high correlation (R = 0.949; P < 0.001) and intra-class correlation (R = 0.863; P < 0.001) with non-contrast CT CAC score. Moreover, agreement within CAC categories was good (κ 0.588). Fully automatic detection of Agatston CAC score on contrast CTA is feasible and showed high correlation with non-contrast CT CAC score. This could imply a radiation dose reduction and time saving by omitting the non-contrast scan.

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Year:  2014        PMID: 25159031     DOI: 10.1007/s10554-014-0519-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  41 in total

1.  Prognostic value of cardiac risk factors and coronary artery calcium screening for all-cause mortality.

Authors:  Leslee J Shaw; Paolo Raggi; Enrique Schisterman; Daniel S Berman; Tracy Q Callister
Journal:  Radiology       Date:  2003-07-17       Impact factor: 11.105

2.  A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association.

Authors:  W G Austen; J E Edwards; R L Frye; G G Gensini; V L Gott; L S Griffith; D C McGoon; M L Murphy; B B Roe
Journal:  Circulation       Date:  1975-04       Impact factor: 29.690

3.  Coronary arterial atherosclerotic plaque imaging by contrast-enhanced computed tomography: fantasy or reality?

Authors:  Kamran Akram; Sarah Rinehart; Szilard Voros
Journal:  J Nucl Cardiol       Date:  2008-09-21       Impact factor: 5.952

4.  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

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Impact of luminal density on plaque classification by CT coronary angiography.

Authors:  Maiken Glud Dalager; Morten Bøttcher; Gratien Andersen; Jesper Thygesen; Erik Morre Pedersen; Lone Dejbjerg; Ole Gøtzsche; Hans Erik Bøtker
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Authors:  Songshou Mao; Janis Child; Sivi Carson; Steve C K Liu; Ronald J Oudiz; Matthew J Budoff
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8.  Managing patient dose in multi-detector computed tomography(MDCT). ICRP Publication 102.

Authors:  J Valentin
Journal:  Ann ICRP       Date:  2007

9.  Coronary calcium as a predictor of coronary events in four racial or ethnic groups.

Authors:  Robert Detrano; Alan D Guerci; J Jeffrey Carr; Diane E Bild; Gregory Burke; Aaron R Folsom; Kiang Liu; Steven Shea; Moyses Szklo; David A Bluemke; Daniel H O'Leary; Russell Tracy; Karol Watson; Nathan D Wong; Richard A Kronmal
Journal:  N Engl J Med       Date:  2008-03-27       Impact factor: 91.245

Review 10.  Expert review on coronary calcium.

Authors:  Matthew J Budoff; Khawar M Gul
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  7 in total

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