Pim van Ooij1, Alex J Barker2, Henk A Marquering3, Gustav J Strijkers3, James C Carr2, Michael Markl2,4, and Aart J Nederveen5
1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Radiology, Northwestern University, Chicago, IL, United States, 3Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands, 4Biomedical Engineering, Northwestern University, Chicago, IL, United States, 5Academic Medical Center, Amsterdam, Netherlands
Synopsis
Altered
hemodynamics in the left ventricle (LV) may contribute to heart failure in hypertrophic
cardiomyopathy (HCM). The aim of this was study was to employ 4D flow MRI to
identify regions with altered velocity in HCM patients based on the concept of 'LV
flow heat maps' comparing velocity fields in HCM patients with an atlas derived
from healthy controls. In the ejection phase, abnormally elevated velocity was
found in the LV outflow tract, whereas the filling phase showed elevated
velocity in the LV apex.Purpose
Hypertrophic
cardiomyopathy (HCM) is a complex genetic disease, characterized by thickening
of the myocardial wall and associated with progressive heart failure.
Determinants of heart failure include left-ventricular (LV) outflow obstruction
due to systolic anterior motion (SAM) of the mitral valve and diastolic
dysfunction
1. As a consequence, HCM induced LV hemodynamics in
patients with HCM during the ejection and filling phase may be altered compared
to healthy controls. Current hemodynamic assessment in HCM is limited to the
assessment of peak left ventricular outflow tract (LVOT). Recently, Allen et
al. showed that deranged 3D flow patterns in the ascending aorta, measured with
4D flow MRI, correlated with SAM and LVOT gradient
2. Altered LV
hemodynamics may thus contribute to the occurrence of heart failure, but a
systematic assessment of 3D hemodynamic changes in the LV in HCM patients
has not been performed to date. Therefore, the aim of this was study
was to employ 4D flow MRI to derive LV hemodynamics of the ejection and filling
phase. Our goal was to to identify regions with altered velocity in HCM
patients based on the concept of an 'LV flow atlas' derived from healthy
controls.
Methods
Eight
patients (mean age: 43±19 years, range: 18-68 years, 5 men) with asymmetric
basal-septal hypertrophy were referred for cardiac MRI as part of HCM
assessment. Additionally, 11 healthy controls (mean age: 54±15 years, range:
20-74 years, 8 men) were included. All subjects underwent an MRI examination on
1.5T systems (Magnetom Avanto and Aera, Siemens, Erlangen, Germany) that
included three-chamber CINEs for the evaluation of the presence of SAM, and respiratory
and ECG gated 4D flow MRI to measure time-resolved 3D blood flow velocities
with full volumetric coverage of the LV. Pulse sequence parameters were as
follows: spatial resolution: 2.9-4.0 x 2.1-2.8 x 2.8-3.2 mm3; temporal
resolution: 37-40 ms, TE/TR/FA: 2.2-2.5ms/4.6-4.9ms/7-15°; VENC= 120-250 cm/s. Data
preprocessing included correction for background phase correction and velocity
aliasing. Three-dimensional phase contrast MR angiograms were created by
multiplication of phase contrast magnitude images with absolute velocity
images, which were subsequently averaged over time (figure 1a). From these
images, the left ventricle was semi-automatically segmented using commercial
software (Mimics, Materialise, Leuven, Belgium), see figure 1b. The ejection and
filling phase were defined as the cardiac time frame in the first and second
half of the cardiac cycle with the highest averaged velocity in the left
ventricle, respectively (figure 1c). To investigate whether HCM is
characterized by abnormal LV velocity, two atlas-based methods were used: ‘LV
Flow Atlas’ and ‘LV Heat maps’. Both maps were created as previously described
for aortas
3. For this purpose, a ‘shared geometry’ was created for both
cohorts. The difference in voxel-wise overlap between the individual LV geometries
and the ‘shared’ geometry was quantified.
Results
LV
volumes in the control cohort were significantly smaller compared to HCM patients
(63±18 mL vs. 89±25 mL, Wilcoxon rank sum test: P<0.05). SAM was present in
50% of the patients. In figure 2, overlap maps of the LV geometries for both
cohorts are displayed. The mean difference between the individual LV geometries
and the ‘shared geometry’ was 15±3% for the HCM patients and 13±3% for the
controls. Figure 3 displays the LV flow atlases for the ejection and filling
phases for both cohorts. For both cohorts the velocity vectors point towards
the LV outflow tract in the ejection phase. During LV filling, a clear pattern
with blood flowing in from the left atrium is evident. Figure 4 shows four
representative LV heat maps illustrating abnormally elevated (red volume) and
decreased (blue volume) blood flow in HCM patients. In the ejection phase,
abnormally elevated velocity is found in the LV outflow tract, whereas the
filling phase showed elevated velocity in the LV apex. Table 1 summarizes the LV
volumes of abnormal velocity in HCM patients compared to controls.
Discussion
In
this study, the feasibility of creating LV flow atlases and LV heat maps was
shown and applied in patients with HCM. SAM may play an important role in the
elevated velocity fields as seen in the HCM atlas and the velocity heat maps
for the ejection phase. However, there was no difference in abnormally elevated
velocity volumes for patients with SAM compared to without SAM, caused by a
high velocity volume in one patient without SAM. The inclusion of more patients
is warranted to further investigate the relationship between LV hemodynamics
and SAM.
Conclusion
LV
atlases and heat maps show that left ventricular velocity fields are elevated
in the ejection and filling phase in HCM patients.
Acknowledgements
No acknowledgement found.References
1. Maron BJ, Maron MS. Hypertropic Cardiomyopathy. Lancet 2013; 381:242-255
2. Allen BD, Choudhury L, Barker AJ et al. Three-dimensional
haemodynamics in patients with obstructive and non-obstructive hypertrophic
cardiomyopathy assessed by cardiac magnetic resonance, Eur Heart J cardiovasc
Imaging. 2015 Jan; 16(1):29-36
3. van Ooij P, Garcia J, Potters WV et al. Age-Related Changes in Aortic 3D Blood Flow
Velocities and Wall Shear Stress: Implications for the Identification of
Altered Hemodynamics in Patients with Aortic Valve Disease, J Magn Res Imaging. 2015 Oct 19; doi:
10.1002/jmri.25081. [Epub ahead of print]