Josh Engel1, Ozden Kilinc1, Justin Baraboo2, Elizabeth Weiss1,2, Christopher Mehta3, Andrew Hoel4, S. Chris Malaisrie3, Michael Markl2, and Bradley Allen1
1Radiology, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Cardiac Surgery, Northwestern Medicine, Chicago, IL, United States, 4Vascular Surgery, Northwestern Medicine, Chicago, IL, United States
Synopsis
Keywords: Vessels, Velocity & Flow, Aortic Dissection, 4D Flow
We investigated whether changes in 4D flow-derived hemodynamic parameters stratified type B aortic dissection patients and sought to validate a 4D flow-derived 2D planar false lumen flow method. Patient scans with baseline and follow-up 4D flow at least 120 days apart were manually segmented into true and false lumens. Voxel-wise parametric maps and 2D forward and reverse flow in the descending aorta were calculated. Changes in voxel-wise hemodynamic parameters significantly correlated with aortic growth rate, with changes in false lumen reverse flow as the most robust parameter. 2D planar flow correlated with voxel-wise flow, but not aortic growth.
Introduction
Aortic diameter growth is associated with increased
morbidity and mortality in patients with both de novo type B aortic dissection
(dnTBAD) and residual type B dissection after type A dissection repair (rTBAD)1.
Preemptive surgical intervention in chronic TBAD has shown improvements in
outcomes, however, it remains unclear which subgroups of patients benefit most
from early intervention2. Current imaging-based risk stratification
is limited to evaluation of baseline aortic diameter on conventional images and
growth in orthogonal aortic diameter over time. Assessment of true and false
lumen (TL, FL) hemodynamics using 4D flow MRI (4DF) may better capture the drivers
of adverse outcomes in TBAD3. 2D planar analysis of flow in the FL
using 2D phase contrast through-plane images has also provided prognostic value
in chronic TBAD4. In this study, we hypothesize that changes in 4DF
quantified TL and FL kinetic energy (KE), maximum velocity (MV), forward and
reverse flow (FF, RF) over serial imaging correlate with aortic growth. We also
sought to validate a 4DF derived 2D planar method for FF and RF in the FL
against 4DF volumetric flow parameters in the FL.Methods
We retrospectively identified TBAD patients with
baseline and follow-up 4DF at least 120 days apart. Patients with descending
aorta intervention before the baseline scan or between scans were excluded. The
TL and FL were manually segmented for each scan and voxel-wise total KE, MV,
FF, and RF were calculated using an in-house Matlab tool5 (MATLAB;
The MathWorks, Natick, MA) (Figure 1). KE was summed over the cardiac cycle and
luminal volume. FF and RF were summed over the cardiac cycle then averaged over
luminal volume. 4DF data sets included prospective and retrospective ECG
gating. To account for the effect of partial coverage of cardiac cycle by
prospective gating, analysis was only performed on the percentage of the
cardiac cycle captured by all scans (67.3%). Aortic diameter was measured from
MRA images acquired at the time of 4DF. For the 2D planar validation, an
oblique transverse plane orthogonal to the descending aorta at the level of the
inferior pulmonary veins was placed across the aortic segmentation4
(EnSight; Ansys, USA). Through-plane forward and reverse flow was summed over
the cardiac cycle. Pearson correlations were performed between aortic growth
rate and parameter changes over time, and between volumetric and 2D planar
flow. Results
32 patients met inclusion criteria (age: 56.9±14.1
years, Female: 13, n=19 rTBAD, n=13 dnTBAD (8 chronic, 5 acute at baseline).
Mean follow up time was 538.3±470.7 days. Baseline diameter did not correlate
with growth rate. In the entire cohort, Δ TL KE (r=0.39, p=0.025), Δ TL MV (r=0.42,
p=0.02), Δ TL FF (r=0.45, p=0.009), Δ FL KE (r=0.42, p=0.02), Δ FL MV (r=0.42,
p=0.02), and Δ FL RF (r=0.61, p<.001) correlated with growth rate. In rTBAD
only, Δ FL RF (r=0.53, p=0.02) correlated with growth (Figure 2), while in dnTBAD
only, all six correlations remained significant (Table 1).
30 patients with baseline and follow-up scans were
included in the 2D planar validation. 2 patients were excluded due to FL
isolated to the proximal descending aorta. Both baseline and follow-up scans
were used (n=60 overall). In the combined cohort, volumetric FF and RF
correlated with 2D planar flow (FF: r=0.71, p<.001; RF: r=0.46, p<.001)
(Figure 3). In dnTBAD only (n=24) there were higher Pearson correlation
coefficients than in rTBAD only (n=36) (dnTBAD- FF: r=0.95, p<.001; RF: r=0.73,
p<.001. rTBAD- FF: r=0.57, p<.001; RF: r=0.35, p=0.03). Changes in 2D
planar RF also significantly correlated with Δ FL RF in the combined cohort
(n=30, r=0.64, p<.001), rTBAD only (n=18, r=0.74, p<.001), and dnTBAD
only (n=12, r=0.66, p=0.02) (Table 2). 2D planar RF at baseline did not
significantly correlate with aortic growth, nor did changes in 2D RF with
aortic growth.Conclusion
This study suggests that changes in 4DF derived
hemodynamic parameters over time correlate with aortic growth rate in TBAD.
High energy and high velocity flow in the TL and FL correlate with aortic
growth. Moreover, high energy flow and RF in the FL increased with growth, with
FL RF as the most robust association across subgroups. These results may be
capturing FL pressurization and dynamism as drivers of expansion and are
consistent with treatment approaches that reduce flow into the FL as a
protective mechanism against aortic growth. Differences in subgroup parametric
stratification also suggest dnTBAD and rTBAD are hemodynamically distinct and
warrant separate evaluation. Moreover, the 4DF derived 2D planar method significantly
correlated with voxel-wise results, supporting the method’s validity. Despite
this, 2D planar RF did not correlate with aortic growth, suggesting that 3D
hemodynamics are superior for TBAD risk stratification. Potential limitations
of the 2D planar method include local differences in FL flow patterns along its
course due to reentry tears and thrombus formation and noise affecting slow FL
flow. The improvement in Pearson coefficient from overall RF to Δ RF, which
partially controls for individual anatomy, may show mitigation of these issues.
This study highlights changes in 3D hemodynamics over time as a potential tool
in TBAD management and supports the validity of this 2D planar method, even
though it did not correlate with aortic growth.Acknowledgements
No acknowledgement found.References
1. Zilber
ZA, Boddu A, Malaisrie SC, et al. Noninvasive Morphologic and Hemodynamic
Evaluation of Type B Aortic Dissection: State of the Art and Future
Perspectives. Radiol Cardiothorac Imaging. 2021;3(3):e200456.
2. Nienaber
CA, Kische S, Rousseau H, et al. Endovascular repair of type B aortic dissection:
long-term results of the randomized investigation of stent grafts in aortic
dissection trial. Circ Cardiovasc Interv. 2013;6(4):407–416.
3. Chu
S, Kilinc O, Pradella M, et al. Baseline 4D Flow-Derived in vivo Hemodynamic
Parameters Stratify Descending Aortic Dissection Patients with Enlarging
Aortas. Front Cardiovasc Med. 2022;9:905718.
4. Evangelista
A, Pineda V, Guala A, et al. False Lumen Flow Assessment by Magnetic Resonance
Imaging and Long-Term Outcomes in Uncomplicated Aortic Dissection. J Am Coll
Cardiol. 2022;79(24):2415-2427.
5. Jarvis
K, Pruijssen JT, Son AY, et al. Parametric Hemodynamic 4D Flow MRI Maps for the
Characterization of Chronic Thoracic Descending Aortic Dissection. J Magn
Reson. Imaging. 2020;51(5):1357-1368.