Hyungkyu Huh1, Menhel Kinno2, James D Thomas2, Michael Markl1,3, and Alex J Barker1
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Cardiology, Feinberg Medical School, Chicago, IL, United States, 3Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
Synopsis
The purpose of this
study was to compare the aortic valve effective orifice area (EOA) estimated
between Doppler echocardiography and 4D flow MRI using a consecutive same-day study
design to minimize inter-modality variability. Peak velocity and left
ventricular outflow tract area were higher for MRI but velocity time integral
was higher for echo. These differences were compensatory when computing EOA, which
resulted in good agreement despite discrepancies in echo vs MRI. Volumetric 3D velocity
information has the potential to better estimate EOA in the presence of eccentric
jets. This potential strength will be studied in aortic stenosis patients.
INTRODUCTION
Aortic valve stenosis
(AS) has severe consequences, including development of heart failure and aortopathy.
Aortic valve stenosis severity is quantified by a number of parameters,
including geometric valve orifice area, peak transvalvular velocity, pressure
drop, and the aortic valve effective orifice area (EOA). EOA is the smallest
area of a transvalvular jet in which the velocity is at a maximum, otherwise
known as the jet vena contracta (VC).
Current guidelines1,2 define severe stenosis
as an EOA<1.0cm2.
Doppler-echocardiography typically measures EOA by applying the continuity
equation as stroke volume through the left ventricular outflow tract (LVOT)
divided by the time integral of maximal velocity through the AV (AVVTI)
(Figure1a). However, peak velocities may be underestimated due to Doppler beamline
misalignment with the flow direction. Additionally, it is assumed that the
shape of the LVOT is circular (when computing area, LVOTarea) and that
the velocity profile across the LVOT is flat. These assumptions can lead to
both over-and underestimation of EOA, but prior studies have suggested that on
average, these potential errors often cancel out, resulting in similar EOA values
when compared with MRI3. However, eccentric flow jets and distorted
LVOT geometries may disturb this balance and significantly over or
underestimate the EOA4. The purpose of this study was to investigate
the validity of these assumptions when estimating EOA while minimizing inter-modality
variability by performing echocardiography and MRI on the same day.METHODS
Doppler
echocardiography and 4D flow MRI were obtained in 15 healthy volunteers (age:
38.2±14.98, 8 males) with a time gap between echo and MRI of 3.97±1.89hr [0.5,
6hr]. Echocardiography was performed with a GE Vivid E95 echo machine with R2
software (GE Medical Systems, USA). The LVOT diameter and midline velocity were
measured by pulsed-wave Doppler; aortic transvalvular jet velocity was measured by
continuous-wave Doppler following guidelines5 (Figure1b). A
prospective ECG and respiratory gated 4D flow MRI scan was performed at 1.5T on
a MAGNETOM AERA scanner (Siemens, Germany) using the following parameters: TR/TE/FA=4.75-4.87ms/2.4ms/7°, spatial resolution=3.3-3.9x2.2-2.7x2.4-2.8mm3,
temporal resolution=38.4ms and velocity-encoding=150cm/s. The LVOTarea
was measured from a 3D PC-MRA computed at peak systole6. LVOTVTI was calculated by integrating the mean velocity
through the LVOT over time. AVVTI was calculated by integrating the
peak velocity of the jet over 3-D volume and time, assuming velocity profile is
flat (Figure1c). RESULTS
The LVOTarea
measured by Doppler echocardiography was 22% smaller on average than 4D flow
MRI (bias[limits of agreements]: -1.44[-2.76:0.48]cm2, p<0.001). Most echo cases (13/15) measured the diameter
closer to the short axis (anterior-posterior) of the known oval shape of the
LVOT (Figure2). The LVOTVTI calculated by echo was 26% larger by average than that calculated by
MRI (5.63[1.66:9.61]cm, p<0.001). All echo cases showed higher LVOTVTI
than 4D flow MRI (Figure3). Stroke volume (SV) and AVVTI calculated
by echo and MRI were similar (p=0.304 and 0.448, respectively). LVOTpeak
and AVpeak velocity measured by echo was smaller than that measured
by MRI (-5.87[-28.94:17.19]cm/s and -8.39[-44.46:27.68]cm/s, respectively)
(Figure4a,b). EOA calculated by echo was similar with MRI (0.101[-0.61:0.83]cm2,
p=0.291) (Figure4c). Results are summarized in table.1. DISCUSSION
This same-day echo-MRI study confirms
that error from simplifying assumptions are often canceled out when computing
EOA, while spatial alignment and fixed measurement planes may further cause
bias in EOA. As previously reported, underestimation of LVOTarea by
assuming a circular cross-section is counterbalanced by overestimation of the mean
LVOT velocity when assuming a flat velocity profile. Bias in peak velocity
measurements between echo and MRI indicates that the peak velocity is not
located in the center but somewhat skewed, and possibly not directed along the
beamline. This bias might increase with eccentric jets and LVOT flow distorted
by an upper septal bulge, which highlights the potential strength of volumetric
3D velocity information obtained with 4D flow MRI. The main limitation of this study
is that it was performed only for healthy volunteers. Future studies will include
complex jet structures such as those with in AS patients to understand if the
compensatory under- and overestimation of the continuity equation parameters continues
to yield valid EOA values. Additional improvements will temporally track the
radial and axial movements of the VC
to improve accuracy when estimating the EOA.
CONCLUSION
This consecutive study
confirms agreement between Doppler echocardiography and 4D flow MRI for
estimation of EOA, yet possible reveals possible errors in echo due to jet-beam
misalignment and assumption of a circular LVOT cross-section. Larger studies
including complex flow structures are
required to confirm if the continuity equation to compute EOA remains valid in
the presence of significant disease.Acknowledgements
Contract grant sponsor: GE healthcare, National Institutes of Health (NIH); contract grant numbers: K25HL119608 and NIHR01HL133504
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