Characterization of aortic blood flow after aortic valve replacement by 4D flow MRI
Alex S Hong1, Emilie Bollache1, Pim van Ooij1, James C Carr1, Alex J Barker1, Jeremy D Collins1, and Michael Markl2

1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Radiology, Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States

Synopsis

Aortic valve replacement (AVR) is an effective surgical approach to treating aortic valvular disease, but it is unclear if and what type of prosthesis can fully reproduce physiologically normal flow characteristic of a native aortic valve. We utilized 4D flow MRI to systematically compare blood flow in the thoracic aorta in post-AVR (bioprosthetic vs. mechanical) patients and healthy controls. Both bioprosthetic and mechanical valves were found to produce higher peak systolic flow velocities and peak wall shear stress in the ascending aorta than native valves, demonstrating the presence of significant changes in aortic blood flow in AVR patients.

Purpose

Recent studies have demonstrated the potential diagnostic value of 4D flow MRI for evaluating altered aortic hemodynamics in patients with aortopathy and after aortic valve replacement (AVR).1,2 In this study, 4D flow MRI was used to characterize aortic blood flow in patients who have undergone AVR with bioprosthetic vs. mechanical valves.

Methods

ECG and respiratory gated 4D flow MRI with full volumetric coverage of the thoracic aorta was acquired in 19 patients who received AVR at Northwestern Memorial Hospital (Chicago, IL, USA) between 2012 and 2015 (n = 10 bioprosthetic valves, n = 9 mechanical valves), as well as 6 healthy controls matched for age and blood pressure. All acquisitions were made on 1.5T MRI systems (Siemens, Erlangen, Germany) during free breathing with average spatial resolution of approx. 2.5 mm3 and temporal resolution of 38-42 ms. 4D flow data analysis included corrections for Maxwell terms, eddy currents and velocity aliasing (Matlab, MathWorks Inc., MA, USA) and 3D segmentation of the aortic volume (Mimics, Materialize NV, Leuven, Belgium).

Blood flow in the thoracic aorta was visualized in EnSight (CEI, Apex, NC, USA) by way of 3D pathlines showing the time-resolved evolution of velocities throughout one cardiac cycle. Nine analysis planes were placed along the aorta, perpendicular to the aortic axis, at the following anatomical landmarks as shown in Figure 1: 1) at the aortic root 1-2 cm above the valve, 2) at the proximal ascending aorta (AAo) 1-2 cm above the sinotubular junction, 4) at the distal AAo just before the brachiocephalic trunk, 3) at the mid-AAo halfway between planes 2 and 4, 5) at the mid-arch just before the common carotid artery, 6) at the distal arch just before the left subclavian artery, 7) at the proximal descending aorta (DAo), 8) at the DAo at the level of plane 2, and 9) at the distal DAo. In all analysis planes, quantification of peak systolic velocities was performed.

In addition, peak systolic 3D wall shear stress (WSS) was calculated along the entire segmented 3D aorta wall based on a previously reported method.3,4 As shown in Figure 2, the aorta was partitioned into 10 distinct regions of interest (ROI), corresponding to the inner (along the lesser curvature) and outer (along the greater curvature) segments of the proximal AAo, distal AAo, arch, proximal DAo, and distal DAo, respectively. Mean peak systolic WSS was computed inside each ROI.

Inter-group differences in peak systolic velocity and peak WSS were studied using Welch’s t-test with a p-value less than 0.05 denoting statistical significance.

Results

Bioprosthetic valves produced significantly higher peak systolic velocities than controls in the root (2.24 vs. 1.25 m/s, p < 0.01) and all three AAo planes (1.93 vs. 1.21 m/s, p < 0.01; 1.58 vs. 1.02 m/s, p < 0.01; 1.23 vs. 0.89 m/s, p = 0.01), while AVR with mechanical valves resulted in higher velocities than controls in only the root (2.09 vs. 1.25 m/s, p < 0.01) and proximal AAo (1.58 vs. 1.21 m/s, p = 0.03). When comparing the two AVR groups, bioprosthetic valves produced greater velocities than mechanical valves in the proximal and mid-AAo. Both bioprosthetic and mechanical valves had greater peak WSS than controls in the inner proximal AAo (2.70 and 2.22 vs. 1.40 N/m2, both p < 0.01) and outer proximal AAo (2.52 and 2.02 vs. 1.31 N/m2, both p < 0.01). There were no significant differences in peak WSS in the AAo between the two AVR groups. Additionally, mechanical valves had greater WSS than bioprosthetic valves in the inner proximal DAo, as well as in the inner and outer distal DAo. Tables 1 and 2 provide a full tabulation of results.

Conclusion

The results of our study show that there are significant changes to aortic blood flow in AVR patients compared to healthy controls, which include elevated peak systolic velocities and WSS in the ascending aorta. Although increased WSS in the AAo has been implicated in the development of aortic pathology 5, the long-term clinical outcomes of AVR patients with elevated systolic velocities and WSS on 4D flow MRI are not well-understood and present opportunities for future research. Subsequent analyses will investigate the independent influence of aortic stiffness related to variable extents of graft replacement of the aorta on local blood flow. Accurate characterization of post-operative blood flow by 4D flow MRI might differentiate the efficacies of various surgical approaches to AVR in reproducing physiologic flow patterns and reducing further aortopathy that may result from derangements to aortic hemodynamics over time.

Acknowledgements

Grant support by the National Institutes of Health [grant numbers R01HL115828 and K25HL119608].

References

1. von Knobelsdorff-Brenkenhoff F, Trauzeddel RF, Barker AJ, Gruettner H, Markl M, Schulz-Menger J. Blood flow characteristics in the ascending aorta after aortic valve replacement-a pilot study using 4d-flow mri. Int J Cardiol. 2014;170:426-433

2. Semaan E, Markl M, Chris Malaisrie S, Barker A, Allen B, McCarthy P, Carr JC, Collins JD. Haemodynamic outcome at four-dimensional flow magnetic resonance imaging following valve-sparing aortic root replacement with tricuspid and bicuspid valve morphology. Eur J Cardiothorac Surg. 2014;45:818-825

3. van Ooij P, Potters WV, Collins J, Carr M, Carr J, Malaisrie SC, Fedak PW, McCarthy PM, Markl M, Barker AJ. Characterization of abnormal wall shear stress using 4d flow mri in human bicuspid aortopathy. Ann Biomed Eng. 2015;43:1385-1397

4. Potters WV, van Ooij P, Marquering H, Vanbavel E, Nederveen AJ. Volumetric arterial wall shear stress calculation based on cine phase contrast MRI. J Magn Reson Imaging. 2015;41(2):505-16.

5. Barker AJ, Markl M, Burk J, Lorenz R, Bock J, Bauer S, Shulz-Menger J, von Knobelsdorff-Brenkenhoff F. Bicuspid aortic valve is associated with altered wall shear stress in the ascending aorta. Circ Cardiovasc Imaging. 2012;5(4):457-66.

Figures

Figure 1 - Visualization of aortic blood flow using 3D pathlines from 4D flow data; peak systolic velocity quantification was performed at nine analysis planes, placed along the aorta at specific anatomic landmarks (see text for details). Bioprosthetic (left) valves showed higher velocities in the AAo than mechanical (right) valves.

Figure 2 - Sagittal aortic magnitude MRI image illustrating the 10 distinct ROIs (blue lines) used for peak WSS analysis, corresponding to inner (along the lesser curvature) and outer (along the greater curvature) segments of the proximal AAo, distal AAo, arch, proximal DAo, and distal DAo.

Table 1 - Aortic peak systolic velocities at each plane for both experimental and control groups; Welch’s t-test was used to assess inter-group differences, with a p-value of less than 0.05 (red highlights) denoting statistical significance.

Table 2 - Aortic peak WSS quantification in each ROI for both experimental and control groups; Welch’s t-test was used to assess inter-group differences, with a p-value of less than 0.05 (red highlights) denoting statistical significance.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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