Wen Li1, Xianchang Zhang2, Jens Wetzl3, Qing Gu4, and Jianguo He5
1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China, 3Magnetic Resonance, Siemens Healthcare, Erlangen, Germany, 4Emergency Center, State Key Laboratory of Cardiovascular Disease, Key Laboratory of Pulmonary Vascular Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 5Center of Pulmonary Vascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
Synopsis
Keywords: Heart, Data Processing, Strain
Studies have reported left ventricular (LV) dysfunction was associated with
more severe disease and poorer prognosis in pulmonary arterial hypertension
(PAH). However, there are only few studies that evaluated LV strain
abnormalities using cardiovascular
magnetic resonance (CMR) in PAH patients. This is the first study to describe the distribution pattern and
prognostic values of LV layer-specific strain/strain rate in PAH patients using
a deformation registration algorithm
(DRA) based on CMR. It’s found that CMR derived LV layer-specific strain could predict
long-term prognosis in PAH patients.
Introduction
Though right ventricular function is considered as a determining factor of
prognosis in pulmonary arterial hypertension (PAH) patients, left ventricular
(LV) function can also be affected by PAH. Studies have reported LV dysfunction
was associated with more severe disease and poorer prognosis in pulmonary hypertension 1,2. However,
there are only few studies that evaluated LV multi-layer strain abnormalities using
cardiovascular magnetic resonance (CMR)
in PAH patients. Thus, this study investigated the layer-specific LV strain
pattern and its prognosis value in PAH patients using a deformation registration algorithm (DRA) based on CMR.Method
82 newly-diagnosed PAH patients were enrolled from
a real-world observation based Chinese national prospective multi-center
observational registry study between January 2011 and December 2017. The median
follow-up time was 2014 days (range from 26 to 3990 days).
All enrolled patients received right heart
catheterization (RHC) and CMR scanning within one week at the baseline. CMR was performed on a 1.5T scanner
(MAGNETOM Avanto, Siemens Healthcare, Erlangen, Germany). Breath-hold
short-axis cine images encompassing the whole left ventricle (LV) and RV from
apex to base were acquired using balanced steady-state free-precession (bSSFP)
sequence (repetition time/echo time, 3.2 ms/1.6 ms; temporal resolution, 34 ms;
flip angle, 60 degrees; field of view, 280 x 340 mm2; matrix, 150 x 256;
voxel size, 1.9mm x 1.3mm; slice thickness, 8 mm).
Acquired CMR images were analyzed using a prototype
software V2.1 (Trufi Strain, Siemens Healthcare, Princeton, USA). This software
uses a deformation registration algorithm to calculate
the myocardial strain on a pixel basis, which could be used to analyze
the layer-specific strain and strain rate based on cine CMR (DRA-CMR). In
this research, LV Peak Strain, Peak Systolic Strain Rate (SSR), Peak Early
Diastolic Strain Rate (DSRE), Peak Late Diastolic Strain Rate (DSRL)
in the radial, circumferential and longitudinal direction were studied on LV
three layers [endocardial wall (ew), middle wall (mw) and epicardial wall
(epiw)] and the whole LV myocardium. Results
In the radial direction, obvious increasing transmural
gradients from endocardial to epicardial wall were found in Peak Radial Strain
(RS), Peak Systolic Radial Strain Rate (SRSR), Peak Early Diastolic Radial
Strain Rate (DRSRE) and Peak Late Diastolic Radial Strain Rate (DRSRL) within LV (Table 1). In the
circumferential direction, decreasing transmural gradients from endocardial to
epicardial wall were found in Peak Circumferential Strain, Peak Systolic
Circumferential Strain Rate, Peak Early Diastolic Circumferential Strain Rate
and Peak Late Diastolic Circumferential Strain Rate (DCSRL) within LV. However, in the longitudinal
direction, no obviously homogeneous transmural gradients were found among three
layers. Comparisons between survival and deceased patients showed the
increasing transmural gradient from endocardial to epicardial wall in DRSRL was not heterogenous in deceased patients (Table
2). Univariate Cox regression analysis found LV endocardial wall (ew)-RS,
ewSRSR, middle wall- Peak Early
Diastolic Longitudinal Strain Rate (DLSRE), epicardial wall-DLSRE
and transmural gradient
(Gepiw-ew) of DCSRL were risk factors of long-term mortality. Multivariate
Cox regression analysis found Gepiw-ewDCSRL
and ewSRSR could were still risk factors of long-term mortality after adjusted
by functional and haemodynamics parameters (Table 3). Kaplan-Meyer curve displayed
PAH patients with ewSRSR<54.48% (log-rank: p=0.003) or Gepiw-ewDCSRL<-25.14% (log-rank: p=0.016) had worse
long-term prognosis (Figure
1).Discussion
Strain is a quantitative measure of myocardial deformation. Liu`s study reported in normal people, only circumferential strain had obvious transmural gradient within LV3. However, our study found PAH patients had homogeneous transmural gradients both in LV radial and circumferential strain. In addition, deceased PAH patients had altered DRSRL distribution pattern than survivors at the baseline. LV layer-specific ewSRSR and Gepiw-ewDCSRL both of which reflect LV systolic function, could indicate long-term PAH prognosis. Therefore, LV layer-specific strain rate at baseline might reflect the severe level of myocardial damage.Conclusion
CMR
derived LV layer-specific ewSRSR and Gepiw-ewDCSRL could predict
long-term prognosis in PAH patients. Acknowledgements
This study was supported by grants from
National Key Research and Development Program of China (No. 2016YFC1304400) and
Youth Found of Fuwai Hospital (Grant number: 2022-FWQN06).References
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