- Poster presentation
- Open Access
Association between aortic stiffness, carotid vessel wall thickness and stenosis severity in peripheral arterial occlusive disease: a comprehensive MRI study
Journal of Cardiovascular Magnetic Resonancevolume 14, Article number: P132 (2012)
Aortic pulse wave velocity sampled in the descending aorta is associated with maximal stenosis severity, visually scored on CE-MRA in patients with PAOD whereas stenosis severity is correlated to a lesser extent with carotid vessel wall.
In atherosclerosis, arterial wall thickening and stiffening precede luminal narrowing. MRI is well-validated for imaging vessel wall thickness (VWT) and stiffness expressed in pulse wave velocity (PWV, defined as the propagation speed of the pressure or flow wave through the aorta). Contrast-enhanced MR angiography (CE-MRA) has evolved into a reliable tool for stenosis detection in peripheral arterial occlusive disease (PAOD). The purpose of this study was to use a comprehensive 3T MRI-approach for comparing stenosis severity on CE-MRA with VWT, sampled in the common carotid artery, and PWV, sampled in the descending aorta.
Forty-two patients (23 men; mean age 64±10years) with clinically suspected PAOD were included. Standardized single-injection 3-station moving-table CE-MRA, carotid vessel wall imaging and PWV-assessment were performed at 3T MRI (Philips). With CE-MRA, the arterial tree was evaluated from infrarenal aorta down to the tibial and peroneal arteries (Figure 1A). Visual stenosis classification was performed in consensus by two radiologist in blinded manner using the following categories: class 1 (0%-stenosis), 2 (1-50%), 3 (51-75%), 4 (76-99%) and 5 (100%).
Four transverse images of the common carotid artery were obtained by multi-slice 2D dual inversion recovery black-blood (DIR) fast gradient-echo (Figure 1B) with spectral selective fat suppression. A flexible 2-element surface coil was used and positioned on the neck. Inner and outer lumen contours were manually determined (Figure 1C), defining measurement of mean vessel wall area (VWA) per slice.
PWV was assessed for the descending aorta by applying two one-directional through-plane velocity-encoded MRI acquisitions, planned perpendicular to the aorta and transecting the proximal and abdominal descending aorta, respectively (Figure 1D). PWV was obtained from systolic wave propagation analysis based on the transit-time method (Figure 1E).
PWV was compared with carotid VWA indexed for body surface area and maximal stenosis severity class detected with CE-MRA.
Mean Fontaine class was 2.3±0.6. Maximal stenosis class per patient presented on CE-MRA was as follows: 2 patients without stenosis (class 1), 1 patient with class 2, 2 patients with class 3, 9 patients with class 4 and 28 patients with class 5. PWV in the descending aorta was well-correlated with maximal stenosis class (Spearman correlation 0.63 (p<0.001), Figure 2A). Carotid VWA and PWV (Pearson correlation 0.48 (p=0.002), Figure 2B) and carotid VWA and maximal stenosis class (Spearman correlation 0.43 (p=0.005), Figure 2C) were correlated to a lesser extent.
PWV in the descending aorta is associated with maximal stenosis severity, visually scored on CE-MRA in patients with PAOD whereas stenosis severity is correlated to a lesser extent with carotid vessel wall.