Publications by authors named "Mihaela-Silvia Amzulescu"

Background: Cardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging.

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Objectives: The objective of this meta-analysis was to assess the predictive value of late gadolinium enhancement (LGE) and global systolic impairment for future major adverse cardiovascular events in left ventricular noncompaction (LVNC).

Background: The prognosis of patients with LVNC, with and without left ventricular dysfunction and LGE, is still unclear.

Methods: A systematic review of published research and a meta-analysis reporting a combined endpoint of hard (cardiac death, sudden cardiac death, appropriate defibrillator firing, resuscitated cardiac arrest, cardiac transplantation, assist device implantation) and minor (heart failure hospitalization and thromboembolic events) events was performed.

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Objectives: This study sought to compare the prognostic value of 2-dimensional (2D) right ventricular (RV) speckle tracking (STE) against cardiac magnetic resonance (CMR) RV ejection fraction (EF) and feature tracking (FT) and conventional echocardiographic parameters on overall and cardiovascular (CV) survival in patients with heart failure with reduced EF (HFrEF).

Background: Prior works showed that RV systolic function predicts prognosis in HFrEF. 2D RVSTE had recently been proposed as new echocardiographic method to evaluate RV dysfunction.

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Objective: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data.

Methods: We create a multimodal cardiac motion atlas from three-dimensional (3-D) MR and 3-D US data followed by multi-view machine learning algorithms to combine and extract the most meaningful cardiac descriptors for classification of dilated cardiomyopathy (DCM) patients using US data only. More specifically, we propose two algorithms based on multi-view linear discriminant analysis and multi-view Laplacian support vector machines (MvLapSVMs).

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Background: Despite widespread use to characterize and refine prognosis, validation data of two-dimensional (2D) speckle tracking (2DST) echocardiography myocardial strain measurement remain scarce.

Methods And Results: Global and regional subendocardial peak-systolic Lagrangian longitudinal (LS) and circumferential strain (CS) by 2DST and 2D-tagged (2DTagg) cardiac magnetic resonance imaging were compared against sonomicrometry in a dynamic heart phantom and among each other in 136 patients included prospectively at 2 centers. The ability of regional LS and CS 2DST and 2DTagg to identify late gadolinium enhancement was compared using receiver operating characteristics curves.

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Cardiac motion atlases provide a space of reference in which the motions of a cohort of subjects can be directly compared. Motion atlases can be used to learn descriptors that are linked to different pathologies and which can subsequently be used for diagnosis. To date, all such atlases have been formed and applied using data from the same modality.

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Aims: Survival in patients (pts) with pulmonary hypertension (PH) differs between subgroups at similar levels of pressure overload. We set to analyze right ventricular (RV) morphology and function in different types of PH using conventional and deformation imaging echocardiography.

Material And Methods: Thirty-four pts with PH: 12 pts with idiopathic pulmonary arterial hypertension (IPAH, 42.

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Objectives: The purpose of this study was to evaluate the impact of hypertrabeculation and left ventricular (LV) myocardial noncompaction phenotype by cardiac magnetic resonance (CMR) on outcomes of patients with nonischemic dilated cardiomyopathy (DCM).

Background: Myocardial trabeculations and noncompaction are increasingly observed in patients with DCM, but their prognostic impact remains unknown.

Methods: We prospectively evaluated outcomes of 162 consecutive patients (102 men; age 55 ± 15 years; ejection fraction [EF] 25 ± 8%) with DCM undergoing CMR.

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Aims: (i) To investigate geometric differences between apical views of the left ventricle (LV) derived from standard 2D echocardiography (std2D) and triplane (TP) views, as well as the "ideally" reconstructed 2D (rec2D) views derived from 3D full volume (3DFV) acquisitions, and their influence on the assessment of LV morphology and function. (ii) To determine the feasibility and accuracy of the automatic reconstruction of 2D apical views from 3DFV datasets.

Methods And Results: In 59 patients with structurally normal, dilated, and hypertrophic hearts, rec2D was reconstructed manually and automatically and compared to std2D, TP, and 3DFV regarding the image plane orientation (true vs.

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Aims: Echocardiographic particle image velocimetry (EPIV) has been used for tracking contrast-enhanced intracavitary blood flow. Little is known, however, how basic imaging parameters (line density, frame rate, contrast bubble density) affect the quality of such tracking results. Our study aimed at investigating this by using simulated echo data sets.

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Background: The study was designed to compare RV morphological and functional parameters derived from conventional and myocardial deformation echocardiography in two instances of right heart pressure overload: pulmonary arterial hypertension (PAH) and pulmonary stenosis (PS).

Methods: Sixty-two individuals were included: 22 patients with pulmonary arterial hypertension (PAH), 19 patients with PS and 21 healthy individuals who served as a control group. All patients had clinical evaluation with 6-minute walking test, standard and two-dimensional strain echocardiography and B-type natriuretic peptide evaluation.

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