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Updated: Sep 14, 2025

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
Published on: June 11, 2019
Splenic switch-off in three-dimensional adenosine stress cardiac magnetic resonance perfusion for differentiating
Mihály Károlyi1, Maximilian Fuetterer2, Márton Kolossváry3
1Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background:
False-negative cardiovascular magnetic resonance (CMR) perfusion results may arise from inadequate stress responses, even when patients exhibit an adequate clinical or heart-rate response to adenosine. This study aimed to explore the ability of qualitative and quantitative splenic switch-off (SSO) markers to differentiate true-negative from potentially false-negative adenosine stress-perfusion CMR findings in a cohort where fractional flow reserve (FFR) was used to adjudicate lesion significance.
Methods:
Patients with known or suspected coronary artery disease (CAD) from five centers underwent three-dimensional (3D) adenosine stress perfusion CMR and coronary angiography with FFR. SSO was assessed qualitatively using both standard stress-to-rest (SSO) and a stress-only (SSOstress) approach. In addition, quantitative signal intensity (SI) ratios were assessed, including the splenic stress-to-rest SI-ratio (SIstress/rest) and the spleen-to-myocardium SI ratio at stress (SIspleen/myocarcium). The diagnostic accuracy of these measures was evaluated using cross-validated area under the curve (cvAUC) analysis.
Results:
Among 179 patients (mean age 63 ± 10 years; 130 male), SSO prevalence was 73% (130/179) and was significantly more frequent in true-negative than false-negative CMR cases (80.6% [54/67] vs 36.8% [7/19], p < 0.001). SSOstress showed moderate agreement (κ = 0.60) and robust diagnostic performance (AUC 0.80), as compared to SSO. Splenic SIstress/rest and SIspleen/myocarcium at stress demonstrated high predictive accuracy for visual SSO, with cvAUCs of 0.94 (95% CI: 0.90-0.96) and 0.90 (95% CI: 0.86-0.95), respectively. The positive likelihood ratio of SSO for true-negative CMR was 1.70, while the negative likelihood ratio was 0.24. Qualitative and quantitative splenic-switch off metrics classified 77%-80% (66-69/86) of negative CMR cases correctly as true- or potentially false-negatives, with sensitivities ranging from 81.4% to 91.2%. Clinically applicable cut-offs for differentiating true- and false-negative studies with splenic SIstress/rest and SIspleen/myocarcium at stress were identified as ≤0.32 and ≤0.38, respectively.
Conclusion:
In a multicenter cohort using FFR-adjudicated reference for lesion severity, qualitative SSO and quantitative SI metrics were associated with myocardial stress adequacy and these markers may improve the interpretation of negative stress-perfusion CMR studies.
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