Huiming Dong1,2, Brian Raterman1, Mariah Eisner3, Guy Brock3, Richard D White1, Jean Starr4, Mounir Haurani4, Michael Go4, Patrick Vaccaro4, and Arunark Kolipaka1,2
1Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 4Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
Synopsis
Abdominal aortic aneurysm (AAA) can result
in life-threatening rupture. AAA diameter remains the only clinically useful
parameter to predict growth and rupture risk. However, some high-risk AAAs can
be overlooked due to their small diameters. AAA stiffness is associated with
its extracellular matrix remodeling and thus potentially provides more relevant
rupture prediction. Therefore, this study aims to estimate AAA stiffness using
aortic MRE in patients with and without aneurysmal events. This is the first
study to demonstrate that AAA stiffness and AAA/remote normal (AAA/RN) stiffness
ratio are significantly lower in patients with aneurysmal events.
Introduction
The diameter of an
abdominal aortic aneurysm (AAA) is generally recognized as a risk factor for
its rupture and has been used to warrant elective repairs [1]. Despite its practical
significance [2,3], studies have suggested that
solely using AAA diameter for rupture risk stratification is not reliable and
can lead to delayed intervention of high-risk small AAAs or to unnecessary
urgent repairs for the large stable ones [4,5]. Extensive degradation of extracellular
matrix (ECM) during the progression of the disease leads to a compromise in mechanical
integrity of the AAA wall and eventually to its rupture [6,7]. Aortic stiffness is closely
associated with ECM components, making the biomechanical property a more relevant imaging marker for shedding
light into AAA rupture potential [8–10].
Currently, few techniques are available to non-invasively measure in vivo aortic
stiffness. Recently, we have advanced and validated non-invasive in vivo aortic
magnetic resonance elastography (MRE) for measuring aneurysm stiffness in an
AAA porcine model [5]. Therefore, the goal of this study
is to investigate the clinical potential of aortic MRE via a longitudinal study
in AAA patients. This work aims to investigate MRE-derived stiffness in stable
AAAs and in AAAs that eventually progressed to a large diameter or underwent
surgical repair or ruptured. Methods
In this study, 73
AAA patients were recruited after approval by the Institutional Review Board
(IRB). Sequential aortic MRE follow-ups were performed every 6 months for up to
36 months. Among all patients, 42 patients with both remote normal aorta (RN) and
AAA presented for MRE scan for stiffness measures. In these 42 patients,
21 patients had aneurysmal events which include expansion to large diameter
(>5.0 cm), surgical repair, or AAA rupture. The non-aneurysmal normal aortic segment between the
renal arteries and the infrarenal AAA was defined as the RN segment.
In vivo aortic MRE was performed on two 3T
MR scanners (Tim Trio and Prisma, Siemens Healthcare, Erlangen, Germany) using
an in-house developed rapid GRE MRE sequence [11]. All subjects were scanned in head
first-supine position as demonstrated in Figure 1. The imaging
parameters included: TE/TR=21ms/25ms. FOV=400x400mm2; reconstruction
matrix size=256x256; slice thickness=6mm (50% overlap); No. of slices=3;
mechanical excitation frequency=60Hz. A 60Hz flow-compensated (i.e.,
first-order-gradient-moment-nulled) motion-encoding gradient (MEG) was applied
to encode stiffness-modulated shear waves in the aorta.
Calculating stiffness in the aorta
presents unique challenge due to its limited size, which can lead to biased
estimation when using conventional 2D or 3D inversion techniques. Therefore, we
propose a new data post-processing routine for estimating aortic stiffness (Figure 2). The proposed method takes
advantage of wave information along the axial direction of the aorta extracted
by specially designed 4th-order Butterworth directional filters with
cutoff 1 to 20 waves/FOV. Finally, an 1D local frequency estimation algorithm
is applied on the filtered data for stiffness calculation.Results and Discussion
Figure
3
demonstrates MRE wave images and provides stiffness in four AAA Patients. Vascular
surgeons were blind to AAA stiffness measurements. Surgical repairs were
recommended to the patients based on AAA diameters and growth rate. Lower stiffness
was observed in a rapidly expanding AAA when compared to small or stable AAAs.
By pooling all 42 patients, AAA stiffness
is significantly lower in patients with aneurysmal events than in patients
without events (Figure 4a). Significantly lower AAA/remote normal
(AAA/RN) stiffness ratio was observed in the patient group with aneurysmal events
(P<0.05), suggesting AAA/RN stiffness ratio as a potential biomarker for
assessing AAA rupture risk (Figure
4b).
Investigating all patients and their multiple follow-up MRE scans with
available AAA stiffness measures, no correlation was observed between AAA
stiffness and AAA diameter in patients who experienced aneurysmal events (Spearman ρ=-0.055, P=0.68,
n=57) or in those without events (Spearman ρ=-0.127, P=0.32,
n=64), suggesting that AAA
diameter is a less accurate representation of different wall mechanics altered
by the ECM degeneration within a specific patient population.Conclusion
In the present study, AAA stiffness was
successfully quantified using non-invasive and non-contrast-enhanced aortic
MRE. The significant difference in AAA stiffness as well as in AAA/RN stiffness
ratio between AAAs with and without aneurysmal events emphasizes the relevance
of aortic MRE as a potential clinical tool for the management of AAA. Future
study will continue to improve the proposed technique and to expand the cohort
size through a multi-center collaboration.Acknowledgements
The authors acknowledge clinical coordinator Kristin Thompson.References
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