Hideki Ota1, Koichiro Sugimura2, Haruka Sato2, Yuta Urushibata3, Yoshiaki Komori3, Hiroaki Shimokawa2, and Kei Takase1
1Diagnostic Radiology, Tohoku University Hosipital, Sendai, Japan, 2Cardiovascular Medicine, Tohoku University Hosipital, Sendai, Japan, 3Research&Collaborations, Siemens Japan KK, Tokyo, Japan
Synopsis
Etiologies of pre-capillary
pulmonary hypertension may be associated with pulmonary arterial hemodynamics. This study included 64 patients (pulmonary
arterial hypertension [PAH], 25, chronic thromboembolic pulmonary hypertension
[CTEPH], 39) who underwent 4D flow and cardiac MR imaging. Backward flow ratio
and forward flow eccentricity in the pulmonary trunk as assessed by 4D flow MR and
several cardiac MR parameters were different between two diseases. After
controlling for age and mean pulmonary arterial pressure, backward flow ratio
was the strongest differentiator of PAH from CTEPH. 4D flow has a potential to visualize different
pulmonary arterial hemodynamics according to etiologies in pulmonary hypertension.Introduction
Pulmonary hypertension (PH)
is defined as an increase in mean pulmonary arterial pressure (mPAP) ≥25mmHg at
rest. A clinical classification is established in order to individualize
different groups of PH sharing similar pathological findings
1. Among them, both pulmonary arterial hypertension (PAH)
and chronic thromboembolic pulmonary hypertension (CTEPH) show pre-capillary
PH. However, their image findings such as ventilation/perfusion scintigraphy
implies difference of occluded vasculatures and pulmonary circulation between
the two diseases. Past study demonstrated the presence of vortex flow visualized
by 4D flow MR imaging in the pulmonary trunk in PH
2. However,
there have been sparse data showing differences of PA flow patterns between
PAH and CTEPH.
Purpose
We aimed to evaluate
whether PA flow patterns imaged with 4D flow MR imaging are different between PAH
and CTEPH.
Methods
This retrospective study included 64 consecutive patients with pulmonary hypertension (PAH, 25, CTEPH,
39). All patients were imaged with a 3.0T whole-body scanner (Magnetom Trio A
Tim System, Siemens Healthcare, Erlangen, Germany). Scan protocols included standard
cardiac cine MR imaging and prototype 4D flow MR imaging of the pulmonary trunk. 4D flow
MR imaging was acquired using the following parameters: 3 dimensional
phase-contrast MR imaging with 3-directional velocity encoding in transverse slab
orientation; ECG gating; respiratory gating using a navigator; TR/TE,
52.4ms/3.43ms; flip angle, 15 degrees; VENC, 50-110cm/sec; voxel size, 2.4mm x
1.8mm x 3.5mm; the number of slices, 30.
Using cine MR images, we measured left-ventricular
ejection fraction (LVEF), LV stroke volume, LV cardiac index, right-ventricular
ejection fraction (RVEF), RV stroke volume, RV cardiac index, RV end-diastolic
and end-systolic volume index (RVEDVI and RVESVI) and pulmonary trunk diameter
to ascending aortic diameter ratio (PA/AA ratio). 4D flow images were
analyzed with a standalone prototype software (4D Flow Demonstrator ver. 2.3,
Siemens Healthcare, Erlangen, Germany). On 4D flow MR imaging, two
parameters indicating the degree of vortex flow in the pulmonary trunk were measured
in the end-systolic phase. 1) Backward flow ratio: a cross-section that contained
the largest vortex flow was extracted; a ratio of area with backward flow to
total cross-sectional area was calculated (backward flow ratio). 2) Forward
flow eccentricity: on the same cross-section with the largest vortex flow, a
distance between the center of gravity of forward flow and the center of
gravity of total flow was calculated; the distance was divided by the mean of
long and short axis diameters of the cross-section (forward flow eccentricity).
MRI parameters, mPAP as assessed by right heart catheterization and patients’
demographics were compared between the two groups with PAH and CTEPH using
unpaired t-test. Multivariable logistic regression analysis using a stepwise
backward selection method (p>0.10 for removal from model) was used to
evaluate significant difference of PA flow patterns controlling for potential
confounding factors. P < 0.05 was
used to designate statistical significance.
Results
The mean age in the PAH group was
significantly lower than that in the CTEPH group (39.4±13.7 years vs. 66.1±13.0
years, p<0.01). The mean of mPAP was not significantly different between the two groups (42.5±12.3 mmHg vs. 37.6±9.5 mmHg, p<0.08).
Vortex flow
in the pulmonary trunk was observed in all patients on 4D flow MR imaging. Significant
differences between the PAH and CTEPH groups were observed in the following MR
parameters: LVEF (56.6±9.8% vs. 63.4±9.7%, p<0.01), RVEDVI (124.4±59.9 ml/m2
vs. 96.9±30.0 ml/m2, p=0.01), RVESVI (79.2.4±55.3ml/m2 vs.
57.24±23.9ml/m2, p=0.03), PA/AA ratio (1.4±0.3 vs, 1.1 ± 0.2, p<0.01),
backward flow ratio (0.31±0.12 vs. 0.22±0.09, p<0.01) and forward flow
eccentricity (0.28±0.10 vs. 0.20±0.13, p=0.01).
In a multivariable logistic regression
analysis controlling for age and mPAP as potential confounders, only backward
flow ratio remained significant; when CTEPH was used as the reference, the
adjusted odds ratio for 0.1 increase of backward flow ratio was 1.1 (95%
confidence interval, 1.04, 8.37, p=0.04). The other MR parameters were removed
by the backward stepwise selection.
Discussion
Vortex flow in the pulmonary trunk may
be a characteristic finding of PH. Among various parameters derived by cardiac
MR imaging, backward flow ratio was the strongest differentiator between
PAH and CTEPH after controlling for age and mPAP. CTEPH mainly differs from PAH
by the proximal location of pulmonary artery obstruction. Occlusion in the
proximal portion may lead to production of pressure wave reflections and
decrease vascular compliance
3. These
factors may induce difference of flow patterns in the pulmonary trunk between
CTEPH and PAH as identified by 4D flow MR imaging.
Conclusions
Backward flow area ratio was
the strongest differentiator between PAH and CTEPH. 4D flow MR imaging has a
potential to visualize the difference of PA hemodynamics according to
etiologies of PH.
Acknowledgements
This study was conducted using the prototype sequence and prototype post-processing software providedby Andreas Greiser and Aurelien Stalder, Siemens Healthcare GmbH.References
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