Following the world-wide COVID-19 pandemic, many patients reported ongoing severe cardiovascular symptoms after the acute phase. This multisystemic condition has been named long COVID syndrome. Whilst cardiovascular magnetic resonance (CMR) imaging is the gold standard to diagnose acute myocardial damage, no specific changes have been shown in long COVID patients. However, endothelial dysfunction has been hypothesized to contribute to its pathogenesis. Oxygenation-sensitive CMR during breathing exercise is a simple, non-invasive and accurate test to objectify vascular function, that has not been applied to long COVID patients yet.

Cardiovascular magnetic resonance imaging (CMR) is a well-established imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent advances in CMR technology, quantitative ExCMR during exercise remains technically challenging due to motion artifacts and limited spatial and temporal resolution.

Widening access to fetal flow imaging by automating real-time planning of 2D phase-contrast flow imaging (OWL).

Fetal magnetic resonance imaging (MRI) is a valuable tool for assessing fetal blood flow; however, its use has primarily been focused on near-term pregnancies. This study aimed to evaluate the feasibility of Doppler ultrasound-gated 2D phase-contrast cardiac MRI of the human fetus in the early, mid, and late third trimester.

Phase contrast (PC) cardiovascular magnetic resonance (CMR) is clinically used to quantify flow. The quantification accuracy is diminished by background phase errors. Image-based background phase correction algorithms are commercially available, but their accuracy is still under evaluation. Here, we validate a recently developed non-linear phase contrast correction (nPCcor) algorithm that includes automatic failure mode classification in a large single-vendor multi-scanner retrospective study.

Implantable cardioverter-defibrillators (ICDs) cause banding artifacts around areas of B inhomogeneity in conventional steady-state free precession (SSFP) cine sequences. Alternatively, high-bandwidth gradient-echo (GRE) cine sequences can be used to minimize artifacts in the myocardium. In this study, we assessed the bias and interobserver variability in cardiac volumes and ejection fractions between GRE cines in acquired in the presence of ICDS and ground-truth SSFP cines (without ICDs present) in a population of healthy volunteers. Further, a small cohort of ICD patients were recruited and scanned to demonstrate clinical feasibility.

Transcatheter aortic valve replacement (TAVR) is the preferred treatment for older patients with severe aortic stenosis with outcomes influenced by age and sex. Computed tomography (CT) is the reference imaging modality for TAVR planning, while cardiac magnetic resonance (CMR) is an emerging alternative for this indication. The aim of this study was to evaluate the impact of age and sex on implantation success in patients undergoing CT- or CMR-guided TAVR.

There is a growing interest in CMR radiomic signatures as novel imaging biomarkers of cardiac disease. However, very little is known about pathological correlates of the radiomics signature of myocardium on CMR sequences.

Pathological extravascular lung water is a facet of decompensated congestive heart failure that current cardiovascular magnetic resonance (CMR) methods fail to quantify. CMR can measure total lung water density, but cannot distinguish between intravascular and extravascular fluid, and thus is not diagnostic. Therefore, we develop and evaluate a novel method to measure extravascular lung water by distinguishing intravascular from extracellular fluid compartments using two different contrast agents, extracellular gadolinium-chelates and iron-based intravascular ferumoxytol.

Assessment of left atrial (LA) functional strain and atrioventricular coupling is increasingly recognized as critical in patients with hypertrophic obstructive cardiomyopathy (HOCM), associated with adverse atrial remodeling and malignant arrhythmia. However, the effect of transapical beating-heart septal myectomy (TA-BSM) on the improvement of LA function and atrioventricular coupling remains uncertain.

Due to the presence of complex flow states and significant jet eccentricity in patients with congenital heart disease (CHD), accurate quantification of aortic regurgitation (AR) using standard echocardiographic or conventional cardiac magnetic resonance (CMR) imaging measures remains challenging. Four-dimensional flow (4DF) CMR permits transvalvular flow quantification under non-laminar flow states, although has not been well validated for AR quantification in CHD.

Previous data suggests dynamic handgrip exercise (DHE) as a potential physiological, needle-free stressor feasible for cardiovascular magnetic resonance (CMR) conditions. DHE-fast Strain-ENCoded imaging (fSENC) is potentially cost-saving, ultra-fast and avoids pharmacological side effects thereby targeting the drawbacks of conventional pharmacological stress CMR.

Magnetic resonance imaging (MRI) allows cardiac hemodynamic assessment in patients with congenital heart disease. However, conventional techniques are time-consuming and may require blood contrast agents. Slice-to-volume reconstruction (SVR) 4D flow is an innovative imaging technique that may overcome those limitations. This study aimed to assess the feasibility of SVR 4D flow in pediatric congenital heart disease.

Cardiac magnetic resonance with myocardial stress perfusion (stress CMR) is a non-invasive technique that offers assessment of myocardial function, perfusion, and viability. Regadenoson is a selective cardiac adenosine A2 receptor agonist with fewer side effects than adenosine and a favorable safety profile in older pediatric heart transplant recipients (PHTR). There are limited studies evaluating the hemodynamic response of regadenoson in pediatric patients under general anesthesia (GA).

The 36th Annual International Meeting of the Society for Magnetic Resonance Angiography (SMRA), held from November 12-15, 2024, in Santiago de Chile, marked a milestone as the first SMRA conference in Latin America. Themed "The Ever-Changing Landscape of MRA", the event highlighted the rapid advancements in magnetic resonance angiography (MRA), including cutting-edge developments in contrast-enhanced MRA, contrast-free techniques, dynamic, multi-parametric, and multi-contrast MRA, 4D flow, low-field solutions and AI-driven technologies, among others. The program featured 174 attendees from 15 countries, including 43 early-career scientists and 30 industry representatives. The conference offered a rich scientific agenda, with 12 plenary talks, 24 educational talks, 98 abstract presentations, a joint SMRA-MICCAI challenge on intracranial artery lesion detection and segmentation and a joint session with the Society for Cardiovascular Magnetic Resonance (SCMR) emphasizing accessibility, low-field MRI, and AI's transformative role in cardiac imaging. The meeting's single-track format fostered engaging discussions on interdisciplinary research and highlighted innovations spanning various vascular beds. This paper summarizes the conference's key themes, emphasizing the collaborative efforts driving the future of MRA, while reflecting on SMRA's vision to advance research, education, and clinical practice globally.

The calculation of conventional extracellular volume fraction (ECV) requires blood hematocrit (Hct) measurement. Based on the relationship between Hct and blood T1 relaxivity for cardiac magnetic resonance (CMR), a synthetic ECV could be estimated without a blood sampling. The aim of this study was to evaluate the correlation and agreement in the quantification of synthetic ECV and laboratory ECV from conventional Hct measurements.

Cardiovascular magnetic resonance (CMR) is rapidly expanding in China, yet comprehensive national data on its clinical application and research status are limited. This study aims to evaluate the current landscape of CMR across the country.

Patients with repaired tetralogy of Fallot (rTOF) are commonly followed with MRI and frequently develop right ventricular (RV) dysfunction, which can be severe enough to impact left ventricular (LV) function in some patients. In this study, we sought to characterize patterns of LV dysfunction in this patient population using Deep Learning Synthetic Strain (DLSS), a fully automated deep learning algorithm capable of measuring regional LV strain and dyssynchrony.

In the field of cardiovascular imaging, 4D flow MRI provides non-invasive assessment of blood flow. Dual velocity encoding (dual-VENC) strategies have emerged to obtain quantitative information on both low and high blood flow velocities simultaneously. However, these strategies often encounter difficulties in coping with large velocity ranges. This work presents a dual-VENC 4D flow MRI sequence that utilizes the coprime rule to define the VENC ratio.

Cardiovascular magnetic resonance (CMR) is crucial for the diagnosis and prognosis of heart disease. However, normal reference values for CMR-derived morphology parameters have not been established for Chinese children. We sought to establish reference values for ventricular and atrial size and function parameters using CMR in healthy Chinese children across a broad age range.