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2018
DOI: 10.1002/jmri.26517
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Quantification of biventricular strain and assessment of ventriculo–ventricular interaction in pulmonary arterial hypertension using exercise cardiac magnetic resonance imaging and myocardial feature tracking

Abstract: Background Right ventricular (RV) failure is the main cause of mortality in pulmonary arterial hypertension (PAH). Exercise testing helps identify early RV maladaptation and systolic dysfunction and facilitates therapy. Myocardial strain has been shown to be more sensitive than ejection fraction (EF) in detecting subclinical ventricular contractile dysfunction. Chronic pressure overload in PAH had been associated with changes in left ventricular (LV) filling. Purpose To compare biventricular strains and ventri… Show more

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Cited by 25 publications
(25 citation statements)
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“…Biventricular strain is significantly impaired in PH and could assist in the early detection of right and left heart dysfunction [ 43 45 ]. Besides, feature tracking technology has been used to predict outcome in patients with PH.…”
Section: Myocardial Strain Analysismentioning
confidence: 99%
“…Biventricular strain is significantly impaired in PH and could assist in the early detection of right and left heart dysfunction [ 43 45 ]. Besides, feature tracking technology has been used to predict outcome in patients with PH.…”
Section: Myocardial Strain Analysismentioning
confidence: 99%
“…Multivariate logistic binary regression analysis identified long-axis RV radial strain as being able to identify RV-arterial uncoupling (102). In exercise states, PH patients showed less reserve than controls, as reflected by displaying significant decrease in longitudinal RV strain despite normal EF (103). Strain has been used in several studies of therapeutic response (104,105).…”
Section: Myocardial Strainmentioning
confidence: 99%
“…The model constructed in this essay is relatively simple and does not take into account the factors of interventricular interaction, valve movement and coronary circulation of the great clinical value, although it effectively captures physiological changes. Some scholars have used computational models to verify the importance of interventricular interaction (Korakianitis and Shi, 2006a;Lin et al, 2019) and valve movement (Korakianitis and Shi, 2006a). However, 1.5VR that is generally selected for patients based on their cardiac appearance is characterized by the right ventricle being much smaller than the left one, so the interventricular interaction can be ignored.…”
Section: Limitationsmentioning
confidence: 99%