| Autor: |
Röwer, Lena Maria, Uelwer, Tobias, Hußmann, Janina, Malik, Halima, Eichinger, Monika, Voit, Dirk, Wielpütz, Mark Oliver, Frahm, Jens, Harmeling, Stefan, Klee, Dirk, Pillekamp, Frank |
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| Zdroj: |
Magnetic Resonance in Medicine; Nov2021, Vol. 86 Issue 5, p2692-2702, 11p |
| Abstrakt: |
Purpose: To test the feasibility of cardiac real‐time MRI in combination with retrospective gating by MR‐compatible spirometry, to improve motion control, and to allow quantification of respiratory‐induced changes during free‐breathing. Methods: Cross‐sectional real‐time MRI (1.5T; 30 frames/s) using steady‐state free precession contrast during free‐breathing was combined with MR‐compatible spirometry in healthy adult volunteers (n = 4). Retrospective binning assigned images to classes that were defined by electrocardiogram and spirometry. Left ventricular eccentricity index as an indicator of septal position and ventricular volumes in different respiratory phases were calculated to assess heart–lung interactions. Results: Real‐time MRI with MR‐compatible spirometry is feasible and well tolerated. Spirometry‐based binning improved motion control significantly. The end‐diastolic epicardial eccentricity index increased significantly during inspiration (1.04 ± 0.04 to 1.19 ± 0.05; P <.05). During inspiration, right ventricular end‐diastolic volume (79 ± 17 mL/m2 to 98 ± 18 mL/m2), stroke volume (41 ± 8 mL/m2 to 59 ± 11 mL/m2) and ejection fraction (53 ± 3% to 60 ± 1%) increased significantly, whereas the end‐systolic volume remained almost unchanged. Left ventricular end‐diastolic volume, left ventricular stroke volume, and left ventricular ejection fraction decreased during inspiration, whereas the left ventricular end‐systolic volume increased. The relationship between stroke volume and end‐diastolic volume (Frank‐Starling relationship) based on changes induced by respiration allowed for a slope estimate of the Frank‐Starling curve to be 0.9 to 1.1. Conclusion: Real‐time MRI during free‐breathing combined with MR‐compatible spirometry and retrospective binning improves image stabilization, allows quantitative image analysis, and importantly, offers unique opportunities to judge heart–lung interactions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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