Literature DB >> 27636027

Coronary CT Angiography: Variability of CT Scanners and Readers in Measurement of Plaque Volume.

Rolf Symons1, Justin Z Morris1, Colin O Wu1, Amir Pourmorteza1, Mark A Ahlman1, João A C Lima1, Marcus Y Chen1, Marissa Mallek1, Veit Sandfort1, David A Bluemke1.   

Abstract

Purpose To determine reader and computed tomography (CT) scan variability for measurement of coronary plaque volume. Materials and Methods This HIPAA-compliant study followed Standards for Reporting of Diagnostic Accuracy guidelines. Baseline coronary CT angiography was performed in 40 prospectively enrolled subjects (mean age, 67 years ± 6 [standard deviation]) with asymptomatic hyperlipidemia by using a 320-detector row scanner (Aquilion One Vision; Toshiba, Otawara, Japan). Twenty of these subjects underwent coronary CT angiography repeated on a separate day with the same CT scanner (Toshiba, group 1); 20 subjects underwent repeat CT performed with a different CT scanner (Somatom Force; Siemens, Forchheim, Germany [group 2]). Intraclass correlation coefficients (ICCs) and Bland-Altman analysis were used to assess interreader, intrareader, and interstudy reproducibility. Results Baseline and repeat coronary CT angiography scans were acquired within 19 days ± 6. Interreader and intrareader agreement rates were high for total, calcified, and noncalcified plaques for both CT scanners (all ICCs ≥ 0.96) without bias. Scanner variability was ±18.4% (coefficient of variation) with same-vendor follow-up. However, scanner variability increased to ±29.9% with different-vendor follow-up. The sample size to detect a 5% change in noncalcified plaque volume with 90% power and an α error of .05 was 286 subjects for same-CT scanner follow-up and 753 subjects with different-vendor follow-up. Conclusion State-of-the-art coronary CT angiography with same-vendor follow-up has good scan-rescan reproducibility, suggesting a role of coronary CT angiography in monitoring coronary artery plaque response to therapy. Differences between coronary CT angiography vendors resulted in lower scan-rescan reproducibility. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27636027      PMCID: PMC5131836          DOI: 10.1148/radiol.2016161670

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  36 in total

Review 1.  Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions.

Authors:  R Virmani; F D Kolodgie; A P Burke; A Farb; S M Schwartz
Journal:  Arterioscler Thromb Vasc Biol       Date:  2000-05       Impact factor: 8.311

Review 2.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

3.  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

4.  Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound.

Authors:  Hyung-Bok Park; Byoung Kwon Lee; Sanghoon Shin; Ran Heo; Reza Arsanjani; Pieter H Kitslaar; Alexander Broersen; Jouke Dijkstra; Sung Gyun Ahn; James K Min; Hyuk-Jae Chang; Myeong-Ki Hong; Yangsoo Jang; Namsik Chung
Journal:  Eur Radiol       Date:  2015-05-21       Impact factor: 5.315

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.  Non-fibroatheroma lesion phenotype and long-term clinical outcomes: a substudy analysis from the PROSPECT study.

Authors:  Tomotaka Dohi; Gary S Mintz; John A McPherson; Bernard de Bruyne; Naim Z Farhat; Alexandra J Lansky; Roxana Mehran; Giora Weisz; Ke Xu; Gregg W Stone; Akiko Maehara
Journal:  JACC Cardiovasc Imaging       Date:  2013-07-10

7.  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
Journal:  Int J Cardiovasc Imaging       Date:  2010-09-05       Impact factor: 2.357

8.  Influence of a lipid-lowering therapy on calcified and noncalcified coronary plaques monitored by multislice detector computed tomography: results of the New Age II Pilot Study.

Authors:  Christof Burgstahler; Anja Reimann; Torsten Beck; Axel Kuettner; Dorothee Baumann; Martin Heuschmid; Harald Brodoefel; Claus D Claussen; Andreas F Kopp; Stephen Schroeder
Journal:  Invest Radiol       Date:  2007-03       Impact factor: 6.016

9.  Closing in on the K edge: coronary CT angiography at 100, 80, and 70 kV-initial comparison of a second- versus a third-generation dual-source CT system.

Authors:  Mathias Meyer; Holger Haubenreisser; U Joseph Schoepf; Rozemarijn Vliegenthart; Christianne Leidecker; Thomas Allmendinger; Ralf Lehmann; Sonja Sudarski; Martin Borggrefe; Stefan O Schoenberg; Thomas Henzler
Journal:  Radiology       Date:  2014-05-31       Impact factor: 11.105

10.  Effect of statin treatment on coronary plaque progression - a serial coronary CT angiography study.

Authors:  Irfan Zeb; Dong Li; Khurram Nasir; Jennifer Malpeso; Aisha Batool; Ferdinand Flores; Christopher Dailing; Ronald P Karlsberg; Matthew Budoff
Journal:  Atherosclerosis       Date:  2013-08-29       Impact factor: 5.162

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  11 in total

1.  Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging.

Authors:  Thomas Perrin; Abhishek Midya; Rikiya Yamashita; Jayasree Chakraborty; Tome Saidon; William R Jarnagin; Mithat Gonen; Amber L Simpson; Richard K G Do
Journal:  Abdom Radiol (NY)       Date:  2018-12

Review 2.  Emerging Role of Coronary Computed Tomography Angiography in Lipid-Lowering Therapy: a Bridge to Image-Guided Personalized Medicine.

Authors:  Toru Miyoshi; Kazuhiro Osawa; Keishi Ichikawa; Kazuki Suruga; Takashi Miki; Masashi Yoshida; Koji Nakagawa; Hironobu Toda; Kazufumi Nakamura; Hiroshi Morita; Hiroshi Ito
Journal:  Curr Cardiol Rep       Date:  2019-06-21       Impact factor: 2.931

Review 3.  A review of serial coronary computed tomography angiography (CTA) to assess plaque progression and therapeutic effect of anti-atherosclerotic drugs.

Authors:  Jana Taron; Saeyun Lee; John Aluru; Udo Hoffmann; Michael T Lu
Journal:  Int J Cardiovasc Imaging       Date:  2020-02-19       Impact factor: 2.357

4.  Dual-contrast agent photon-counting computed tomography of the heart: initial experience.

Authors:  Rolf Symons; Tyler E Cork; Manu N Lakshmanan; Robert Evers; Cynthia Davies-Venn; Kelly A Rice; Marvin L Thomas; Chia-Ying Liu; Steffen Kappler; Stefan Ulzheimer; Veit Sandfort; David A Bluemke; Amir Pourmorteza
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-13       Impact factor: 2.357

Review 5.  Bridging the gap for lipid lowering therapy: plaque regression, coronary computed tomographic angiography, and imaging-guided personalized medicine.

Authors:  Alan C Kwan; Konstantinos N Aronis; Veit Sandfort; Roger S Blumenthal; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2017-07-06

6.  Differential association between the progression of coronary artery calcium score and coronary plaque volume progression according to statins: the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging (PARADIGM) study.

Authors:  Sang-Eun Lee; Ji Min Sung; Daniele Andreini; Matthew J Budoff; Filippo Cademartiri; Kavitha Chinnaiyan; Jung Hyun Choi; Eun Ju Chun; Edoardo Conte; Ilan Gottlieb; Martin Hadamitzky; Yong Jin Kim; Amit Kumar; Byoung Kwon Lee; Jonathon A Leipsic; Erica Maffei; Hugo Marques; Gianluca Pontone; Gilbert Raff; Sanghoon Shin; Peter H Stone; Habib Samady; Renu Virmani; Jagat Narula; Daniel S Berman; Leslee J Shaw; Jeroen J Bax; Fay Y Lin; James K Min; Hyuk-Jae Chang
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-11-01       Impact factor: 6.875

7.  Contribution of Risk Factors to the Development of Coronary Atherosclerosis as Confirmed via Coronary CT Angiography: A Longitudinal Radiomics-based Study.

Authors:  Márton Kolossváry; Gary Gerstenblith; David A Bluemke; Elliot K Fishman; Raul N Mandler; Thomas S Kickler; Shaoguang Chen; Sandeepan Bhatia; Shenghan Lai; Hong Lai
Journal:  Radiology       Date:  2021-02-16       Impact factor: 11.105

Review 8.  A manifesto for cardiovascular imaging: addressing the human factor.

Authors:  Alan G Fraser
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-12-01       Impact factor: 6.875

9.  Effects of long-term statin-treatment on coronary atherosclerosis in patients with inflammatory joint diseases.

Authors:  Mona Svanteson; Silvia Rollefstad; Nils-Einar Kløw; Jonny Hisdal; Eirik Ikdahl; Joseph Sexton; Ylva Haig; Anne Grete Semb
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

10.  Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve.

Authors:  Jason M Carson; Neeraj Kavan Chakshu; Igor Sazonov; Perumal Nithiarasu
Journal:  Proc Inst Mech Eng H       Date:  2020-08-03       Impact factor: 1.617

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