Literature DB >> 20410410

Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement.

Peter C A Jacobs1, Ivana Isgum, Martijn J A Gondrie, Willem P Th M Mali, Bram van Ginneken, Mathias Prokop, Yolanda van der Graaf.   

Abstract

OBJECTIVE: In previous studies detection of coronary artery calcification (CAC) with low-dose ungated MDCT performed for lung cancer screening has been compared with detection with cardiac CT. We evaluated the interscan agreement of CAC scores from two consecutive low-dose ungated MDCT examinations. SUBJECTS AND METHODS: The subjects were 584 participants in the screening segment of a lung cancer screening trial who underwent two low-dose ungated MDCT examinations within 4 months (mean, 3.1 +/- 0.6 months) of a baseline CT examination. Agatston score, volume score, and calcium mass score were measured by two observers. Interscan agreement of stratification of participants into four Agatston score risk categories (0, 1-100, 101-400, > 400) was assessed with kappa values. Interscan variability and 95% repeatability limits were calculated for all three calcium measures and compared by repeated measures analysis of variance.
RESULTS: An Agatston score > 0 was detected in 443 baseline CT examinations (75.8%). Interscan agreement of the four risk categories was good (kappa = 0.67). The Agatston scores were in the same risk category in both examinations in 440 cases (75.3%); 578 participants (99.0%) had scores differing a maximum of one category. Furthermore, mean interscan variability ranged from 61% for calcium volume score to 71% for Agatston score (p < 0.01). A limitation of this study was that no comparison of CAC scores between low-dose ungated CT and the reference standard ECG-gated CT was performed.
CONCLUSION: Cardiovascular disease risk stratification with low-dose ungated MDCT is feasible and has good interscan agreement of stratification of participants into Agatston score risk categories. High mean interscan variability precludes the use of this technique for monitoring CAC scores for individual patients.

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Year:  2010        PMID: 20410410     DOI: 10.2214/AJR.09.3047

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  21 in total

1.  Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography.

Authors:  Jurica Šprem; Bob D de Vos; Nikolas Lessmann; Pim A de Jong; Max A Viergever; Ivana Išgum
Journal:  J Med Imaging (Bellingham)       Date:  2018-12-11

2.  Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.

Authors:  Yaping Zhang; Niels R van der Werf; Beibei Jiang; Robbert van Hamersvelt; Marcel J W Greuter; Xueqian Xie
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

3.  Reliable categorisation of visual scoring of coronary artery calcification on low-dose CT for lung cancer screening: validation with the standard Agatston score.

Authors:  Yi-Luan Huang; Fu-Zong Wu; Yen-Chi Wang; Yu-Jeng Ju; Guang-Yuan Mar; Chiung-Chen Chuo; Huey-Shyan Lin; Ming-Ting Wu
Journal:  Eur Radiol       Date:  2012-12-14       Impact factor: 5.315

4.  Vertebral fractures on routine chest computed tomography: relation with arterial calcifications and future cardiovascular events.

Authors:  Constantinus F Buckens; Pim A de Jong; Helena M Verkooijen; Harald J Verhaar; Willem P Mali; Yolanda van der Graaf
Journal:  Int J Cardiovasc Imaging       Date:  2014-12-02       Impact factor: 2.357

5.  Identification of Coronary Artery Calcification and Diagnosis of Coronary Artery Disease by Abdominal CT: A Resident Education Continuous Quality Improvement Project.

Authors:  Michael A Winkler; Stephen B Hobbs; Richard J Charnigo; Ryan E Embertson; Michael W Daugherty; Michael P Hall; Michael A Brooks; Steve W Leung; Vince L Sorrell
Journal:  Acad Radiol       Date:  2015-01-08       Impact factor: 3.173

Review 6.  Risk factors assessment and risk prediction models in lung cancer screening candidates.

Authors:  Mariusz Adamek; Ewa Wachuła; Sylwia Szabłowska-Siwik; Agnieszka Boratyn-Nowicka; Damian Czyżewski
Journal:  Ann Transl Med       Date:  2016-04

Review 7.  Coronary artery calcification in clinical practice: what we have learned and why should it routinely be reported on chest CT?

Authors:  Joseph Shemesh
Journal:  Ann Transl Med       Date:  2016-04

8.  Reliability analysis of visual ranking of coronary artery calcification on low-dose CT of the thorax for lung cancer screening: comparison with ECG-gated calcium scoring CT.

Authors:  Yoon Kyung Kim; Yon Mi Sung; So Hyun Cho; Young Nam Park; Hye-Young Choi
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-02       Impact factor: 2.357

9.  National trends among radiologists in reporting coronary artery calcium in non-gated chest computed tomography.

Authors:  Jacobo Kirsch; Felipe Martinez; David Lopez; Gian M Novaro; Craig R Asher
Journal:  Int J Cardiovasc Imaging       Date:  2016-09-27       Impact factor: 2.357

10.  Association of Coronary Artery Calcium in Adults Aged 32 to 46 Years With Incident Coronary Heart Disease and Death.

Authors:  John Jeffrey Carr; David R Jacobs; James G Terry; Christina M Shay; Stephen Sidney; Kiang Liu; Pamela J Schreiner; Cora E Lewis; James M Shikany; Jared P Reis; David C Goff
Journal:  JAMA Cardiol       Date:  2017-04-01       Impact factor: 14.676

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