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Myocardial velocity mapping for the right ventricle in pulmonary arterial hypertension using a novel image-based respiratory self-navigation from a golden-angle spiral acquisition
Journal of Cardiovascular Magnetic Resonance volume 15, Article number: P43 (2013)
CMR is a recognized method of assessing global RV function in patients with pulmonary arterial hypertension (PAH). Unfortunately, assessment of regional myocardial motion with MRI remains challenging due to the thin RV wall. One solution may be tissue phase mapping (TPM) in which motion can be encoded at a higher spatial resolution. However, one problem is the need for respiratory navigation due to long scan times. We have therefore implemented a novel self-gated golden-angle spiral TPM technique that can acquire high-resolution data efficiently during free breathing in healthy volunteers and in patients with PAH.
TPM was performed using a rotating golden-angle spiral acquisition. Reconstruction of real-time images allowed creation of an image-based respiratory navigator, which was used to select expiratory spiral interleaves. Expiratory data was retrospectively cardiac-gated using data binning. TPM of a mid-ventricular slice was acquired in 18 PAH patients and 10 healthy volunteers. Post-processing of TPM data was performed on in-house software developed on the open source OsiriX platform by manually defining endocardial and epicardial ventricular borders. Longitudinal and radial myocardial velocities were calculated from the RV free wall and the LV lateral wall.
The self-gated sequence was successful in all patients with excellent image quality. Visualization of the motion vectors demonstrated obvious abnormalities in septal motion (Figure 1). Quantification revealed lower peak radial s-wave velocity in PAH compared to controls (1.5 cm/s ± 1.3 versus 2.3 ± 1.6, p < 0.02), as well as lower radial e-wave (1.2 ± 1.8 vs 2.4 ± 2.5, p < 0.03) and longitudinal e-wave (2.8 ± 3.5 vs 5.0 ± 3.2, p < 0.004) velocities. In addition, longitudinal a-wave velocity was higher in PAH compared to controls (6.4 ± 6.3 vs 4.1 ± 3.7, p < 0.03).
In patients with PAH, RV contraction was also significantly prolonged compared to LV contraction, both radially (46% ± 18 vs 42% ± 14 of cardiac cycle, p = 0.016) and longitudinally (39% ± 11 vs 33% ± 18, p = 0.013). There was no difference between RV and LV contraction times in normal volunteers (p > 0.35). Importantly, the prolongation of RV contraction significantly correlated with the degree of septal curvature (r = -0.54, p = 0.022).
We have shown that it is possible to comprehensively assess RV myocardial motion using a novel free-breathing, golden-angle spiral TPM sequence. Using this technique we have shown in PAH that s-wave and e-wave velocities are reduced while a-wave velocities are increased, consistent with reduced RV systolic and diastolic function. Furthermore, we have shown that RV contraction time is prolonged in PAH and this correlated with septal curvature, implying a causal relationship. Thus, we believe that our novel TPM sequence is more fully able to assess ventricular dysfunction in PAH and may be an important tool in diagnosing PAH and monitoring response to therapy.
Drs. Daniel Knight and Vivek Muthurangu are funded by the British Heart Foundation (BHF).
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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Knight, D.S., Steeden, J.A., Bali, S. et al. Myocardial velocity mapping for the right ventricle in pulmonary arterial hypertension using a novel image-based respiratory self-navigation from a golden-angle spiral acquisition. J Cardiovasc Magn Reson 15 (Suppl 1), P43 (2013). https://doi.org/10.1186/1532-429X-15-S1-P43
- Pulmonary Arterial Hypertension
- Pulmonary Arterial Hypertension Patient
- Myocardial Velocity
- Myocardial Motion
- Tissue Phase Mapping