Emilie Bollache1, Paul W.M. Fedak2,3, Pim van Ooij1, David Guzzardi2, S. Chris Malaisrie3, Alex Hong1, Patrick M. McCarthy3, James Carr1, Jeremy Collins1, Michael Markl1,4, and Alex J. Barker1
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada, 3Division of Surgery-Cardiac Surgery, Northwestern University, Chicago, IL, United States, 4Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
Synopsis
The effect of the type of aortic surgery in patients with aortopathy is
not well known. We studied 23 patients who underwent 4D flow MRI both before
and after aortic valve (AVR) and/or ascending aortic (AAR) replacement, from
which we estimated the pre- and post-surgical area of aortic ‘at-risk’ tissue,
with an elevated wall shear stress. After surgery, in most AVR patients, at-risk
tissue area was decreased while in most AAR patients, it was increased. This pilot
study suggests the usefulness of 4D flow MRI to provide longitudinal aortic
hemodynamic follow-up after surgery, which should be confirmed in larger populations.PURPOSE
Current ACC/AHA guidelines recommend surgical treatment of aortopathy
based on a diameter threshold. 1 However, controversy remains
regarding the choice of surgery as well as the extent of aortic tissue to
resect. 2 Several studies based on 4D flow MRI have suggested that
abnormal aortic blood flow hemodynamics at the wall are associated with aortopathy.
3-6 In addition, a recent study of patients undergoing aortic
surgery demonstrated that elastin and extracellular matrix function were altered
in resected regions exhibiting abnormally high wall shear stress (WSS) by
pre-operative 4D flow MRI.
7 The purpose of the present study was to
further investigate the evolution of such ‘at-risk’ aortic tissue after surgery
using 4D flow MRI.
METHODS
Twenty-three patients (51±15 years; 5 women) who underwent aortic valve
and/or ascending aorta (AA) surgery with pre- and post-operative MRI, were
included. MRI data were acquired either at 1.5T or 3T (Siemens Healthcare,
Erlangen, Germany). It included 4D flow acquisition in a sagittal volume
encompassing the entire thoracic aorta, which was performed using prospective ECG
and respiratory gating and the following parameters: TE/TR/FA = 2.2–2.8
ms/4.5–5.4 ms/7–15°, spatial resolution = 2.2–3.8 x 1.7–2.7 x 2.2–3.0
mm
3, temporal resolution = 36-43 ms and encoding velocity = 150-400
cm/s depending on aortic valve stenosis severity. After pre-processing for
noise reduction, anti-aliasing and Eddy current correction using a in-house
software,
8 the aortic volume was segmented using Mimics (Materialise,
Leuven, Belgium). WSS throughout the aortic surface was automatically estimated
using 4D flow MRI data both before and after surgery (Figure 1.A).
9
‘Heat maps’ were subsequently created using physiologically normal WSS atlases
previously established in age-matched control volunteers (Figure 1.B and C).
10
Aortic at-risk tissue was defined as regions with WSS above the 95% confidence
interval (CI) of normal volunteers. Finally, the 3D area of at-risk tissue was
measured in three segments (Figure 1.C): 1) AA (from the aortic valve to the
first supraaortic branch), 2) arch (from the first to the last branches) and 3)
proximal descending aorta (DA) (from the last branch to the DA, at the level of
the aortic valve). Area was further expressed in percentage of the total area
of the corresponding segment. Of note, pre-surgical areas excluded aortic
tissue to be resected, as assessed retrospectively using CE-MR Angiography (CE-MRA)
images, and post-surgical areas excluded the implanted graft. In addition, sinus
of Valsalva (SOV) and mid-ascending aortic (MAA) diameters were measured using CE-MRA.
RESULTS
One patient had a unicuspid aortic valve, 3 had a tricuspid aortic valve
while the 19 remaining patients had a bicuspid aortic valve. At baseline, 5
patients had a severe aortic valve stenosis and 3 had severe aortic
regurgitation. Baseline SOV and MAA diameters were 44.2±5.2 mm and 44.6±6.2 mm,
respectively. Mean follow-up duration between the 2 MRI exams was 159±238
[7-977] days. Five patients underwent aortic valve replacement (AVR) alone, 9 underwent
root and AA replacement (including 1 valve-sparing and 1 Ross procedure), and 9
underwent root and AA replacement along with hemiarch repair. Patient
characteristics according to the surgery group are described in Figure 2. Figure 3 provides heatmaps for each patient sub-group, along with absolute areas of at-risk
tissue, outside of resected tissue or graft location. Of note, the illustrated
2D heatmaps do not always represent the whole area, which was calculated throughout
the 3D aortic surface. Percentage of pre- and post-surgical at-risk tissue
areas in the AA, arch and DA are reported in Figure 4. Overall, a post-surgical
decrease in aortic at-risk tissue area was observed in patients undergoing AVR
without aortic resection, while it tended to increase outside of the graft in
patients who underwent AA replacement.
DISCUSSION
These preliminary results indicate unique patient-specific hemodynamics,
and suggest the potential value of a patient-centered imaging to identify the
most suitable type of surgery to perform. However, care must be taken when
interpreting the results, as they were variable and taken from a relatively
small sample, as reflected by the high standard deviations within groups.
CONCLUSION
The post-surgical decrease in aortic at-risk tissue area in patients who
underwent AVR might indicate the normalization of aortic hemodynamics after intervention.
The slight increase in patients who underwent aortic replacement may reflect
the effect of the graft on local hemodynamics, due to the alterations in
thoracic aortic compliance. However, larger studies are warranted to confirm these
findings and shed light on the impact of the type of surgery, size of aortic
valve prosthesis, etc. on aortic hemodynamics.
Acknowledgements
No acknowledgement found.References
1.
Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACC guideline for the
management of patients with valvular heart disease: a report of the American
College of Cardiology/American Heart Association Task Force on Practice
Guidelines. J Am Coll Cardiol. 2014;63(22):e57-185.
2.
Verma S, Yanagawa B, Kalra S, et al. Knowledge, attitudes, and practice
patterns in surgical management of bicuspid aortopathy: a survey of 100 cardiac
surgeons. J Thorac Cardiovasc Surg. 2013;146(5):1033-40.
3.
Hope MD, Hope TA, Crook SE, et al. 4D flow CMR in assessment of valve-related
ascending aortic disease. JACC
Cardiovasc Imaging. 2011;4:781-7.
4.
Barker AJ, Markl M, Bürk J, et al. Bicuspid aortic valve is associated with
altered wall shear stress in the ascending aorta. Circ Cardiovasc Imaging. 2012;5(4):457-66.
5.
Bissell MM, Hess AT, Biasiolli L, et al. Aortic dilation in bicuspid aortic
valve disease: flow pattern is a major contributor and differs with valve
fusion type. Circ Cardiovasc Imaging.
2013;6:499-507.
6.
van Ooij P, Potters WV, Collins J, et al. Characterization of abnormal wall
shear stress using 4D flow MRI in human bicuspid aortopathy. Ann Biomed Eng.
2015;43(6):1385-97.
7.
Guzzardi DG, Barker AJ, van Ooij P, et al. Valve-Related Hemodynamics Mediate
Human Bicuspid Aortopathy: Insights From Wall Shear Stress Mapping. J Am Coll Cardiol. 2015;66(8):892-900.
8.
Schnell S, Entezari P, Mahadewia RJ, et al. Improved Semiautomated 4D Flow MRI
Analysis in the Aorta in Patients With Congenital Aortic Valve Anomalies Versus
Tricuspid Aortic Valves. J Comput Assist Tomogr. 2015 (in press).
9.
Potters WV, van Ooij P, Marquering H, et al. Volumetric arterial wall shear
stress calculation based on cine phase contrast MRI. J Magn Reson Imaging. 2015;41(2):505-16.
10.
van Ooij P, Potters WV, Nederveen AJ, et al. A methodology to detect abnormal
relative wall shear stress on the full surface of the thoracic aorta using
four-dimensional flow MRI. Magn Reson
Med. 2015;73(3):1216-27.