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High spatial resolution myocardial perfusion cardiac magnetic resonance for the detection of coronary artery disease

Plein, Sven ; Kozerke, Sebastian ; Suerder, Daniel ; Luescher, Thomas F. ; Greenwood, John P. ; Boesiger, Peter ; Schwitter, Juerg

In: European Heart Journal, 2008, vol. 29, no. 17, p. 2148-2155

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    Titre
    • High spatial resolution myocardial perfusion cardiac magnetic resonance for the detection of coronary artery disease
    Auteur
    • Plein, Sven. Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
    • Kozerke, Sebastian. Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
    • Suerder, Daniel. Cardiovascular Centre, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
    • Luescher, Thomas F.. Cardiovascular Centre, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
    • Greenwood, John P.. Academic Unit of Cardiovascular Medicine, University of Leeds, G-Floor Jubilee Wing, Leeds General Infirmary, Great George Street, Leeds LS1 3EX, UK
    • Boesiger, Peter. Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
    • Schwitter, Juerg. Cardiovascular Centre, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
    Type de document
    • Postprint
    Langue
    • Inglese
    Publié dans
    • European Heart Journal, 2008, vol. 29, no. 17, p. 2148-2155. Oxford University Press
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:298585
    Summary
    Aims To evaluate the feasibility and diagnostic performance of high spatial resolution myocardial perfusion cardiac magnetic resonance (perfusion-CMR). Methods and results Fifty-four patients underwent adenosine stress perfusion-CMR. An in-plane spatial resolution of 1.4 × 1.4 mm2 was achieved by using 5× k-space and time sensitivity encoding (k-t SENSE). Perfusion was visually graded for 16 left ventricular and two right ventricular (RV) segments on a scale from 0 = normal to 3 = abnormal, yielding a perfusion score of 0-54. Diagnostic accuracy of the perfusion score to detect coronary artery stenosis of >50% on quantitative coronary angiography was determined. Sources and extent of image artefacts were documented. Two studies (4%) were non-diagnostic because of k-t SENSE-related and breathing artefacts. Endocardial dark rim artefacts if present were small (average width 1.6 mm). Analysis by receiver-operating characteristics yielded an area under the curve for detection of coronary stenosis of 0.85 [95% confidence interval (CI) 0.75-0.95] for all patients and 0.82 (95% CI 0.65-0.94) and 0.87 (95% CI 0.75-0.99) for patients with single and multi-vessel disease, respectively. Seventy-four of 102 (72%) RV segments could be analysed. Conclusion High spatial resolution perfusion-CMR is feasible in a clinical population, yields high accuracy to detect single and multi-vessel coronary artery disease, minimizes artefacts and may permit the assessment of RV perfusion