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

Plein S, Kozerke S, Suerder D, Luescher TF, Greenwood JP, Boesiger P, Schwitter J - Eur. Heart J. (2008)

Bottom Line: 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).Seventy-four of 102 (72%) RV segments could be analysed.

View Article: PubMed Central - PubMed

Affiliation: Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland. s.plein@leeds.ac.uk

ABSTRACT

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 mm(2) 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.

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Receiver–operating characteristics curve for the ability of the cardiac magnetic resonance perfusion score to detect coronary artery disease >50%.
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EHN297F1: Receiver–operating characteristics curve for the ability of the cardiac magnetic resonance perfusion score to detect coronary artery disease >50%.

Mentions: Mean perfusion score was 8 (95% CI 6–10), with a median of 6.5 (95% CI 3–10), a range of 29 and an interquartile range of 11.25. The AUC of the ROC analysis for the ability of the CMR perfusion score to detect the presence of coronary disease >50% was 0.85 (95% CI 0.75–0.95) (Figure 1). Diagnostic performance was unchanged if the six patients with a history of MI were excluded from the analysis. Similar diagnostic performance was seen at coronary stenosis levels of >70 and >75% (AUC 0.83, 95% CI 0.71–0.95 and 0.84, 95% CI 0.73–0.95, respectively). Diagnostic accuracy was similar for single and multi-vessel (two- or three-vessel) disease (at disease severity >50%: AUC 0.82, 95% CI 0.70–0.94 vs. 0.87, 95% CI 0.75–0.99, respectively). Table 2 lists all results of one-vessel and multi-vessel disease at different disease severities.


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

Plein S, Kozerke S, Suerder D, Luescher TF, Greenwood JP, Boesiger P, Schwitter J - Eur. Heart J. (2008)

Receiver–operating characteristics curve for the ability of the cardiac magnetic resonance perfusion score to detect coronary artery disease >50%.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2519247&req=5

EHN297F1: Receiver–operating characteristics curve for the ability of the cardiac magnetic resonance perfusion score to detect coronary artery disease >50%.
Mentions: Mean perfusion score was 8 (95% CI 6–10), with a median of 6.5 (95% CI 3–10), a range of 29 and an interquartile range of 11.25. The AUC of the ROC analysis for the ability of the CMR perfusion score to detect the presence of coronary disease >50% was 0.85 (95% CI 0.75–0.95) (Figure 1). Diagnostic performance was unchanged if the six patients with a history of MI were excluded from the analysis. Similar diagnostic performance was seen at coronary stenosis levels of >70 and >75% (AUC 0.83, 95% CI 0.71–0.95 and 0.84, 95% CI 0.73–0.95, respectively). Diagnostic accuracy was similar for single and multi-vessel (two- or three-vessel) disease (at disease severity >50%: AUC 0.82, 95% CI 0.70–0.94 vs. 0.87, 95% CI 0.75–0.99, respectively). Table 2 lists all results of one-vessel and multi-vessel disease at different disease severities.

Bottom Line: 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).Seventy-four of 102 (72%) RV segments could be analysed.

View Article: PubMed Central - PubMed

Affiliation: Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland. s.plein@leeds.ac.uk

ABSTRACT

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 mm(2) 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.

Show MeSH
Related in: MedlinePlus