Heart failure-induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1161/CIRCIMAGING.115.004077 | DOI Listing |
Electromagn Biol Med
January 2025
Department of Mathematics, University of Gour Banga, Malda, India.
In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or manipulate blood flow dynamics, which is particularly crucial in developing treatments for conditions such as arterial plaque deposition and understanding blood behavior under varied flow conditions. This research predicts the flow patterns of blood enhanced with gold and maghemite nanoparticles (gold-maghemite/blood) in an electromagnetic microchannel influenced by Riga plates with a temperature gradient that decays exponentially, under sudden changes in pressure gradient. The flow modeling includes key physical influences like radiation heat emission and Darcy drag forces in porous media, with the flow mathematically represented through unsteady partial differential equations solved using the Laplace transform (LT) method.
View Article and Find Full Text PDFR I Med J (2013)
February 2025
Department of Medicine, Division of Cardiology, Alpert Medical School of Brown University, Providence RI.
Cardiac amyloidosis (CA) is an infiltrative disease that results from the deposition of amyloid fibrils in the myocardium, resulting in restrictive cardiomyopathy. The amyloid fibrils are predominantly derived from two parent proteins, immunoglobulin light chain (AL) and transthyretin (ATTR), and ATTR is further classified into hereditary (ATTRv) and wild-type (ATTRwt) based on the presence or absence, respectively, of a mutation in the transthyretin gene. Once thought to be a rare entity, CA is increasingly recognized as a significant cause of heart failure due to improved clinical awareness and better diagnostic imaging.
View Article and Find Full Text PDFR I Med J (2013)
February 2025
Brown University Health Cardiovascular Institute; Rhode Island, the Miriam and Newport Hospitals; Warren Alpert Medical School, Brown University.
Cardiac magnetic resonance imaging (CMR) is an exciting noninvasive imaging modality with increasing utilization in the field of cardiovascular medicine. In conjunction with echocardiogram, computed tomography, and invasive therapies, CMR has provided exceptional capability to further evaluate complex clinical cardiac conditions. CMR provides both anatomical and physiological information of a variety of tissue types, without the need for ionizing radiation.
View Article and Find Full Text PDFR I Med J (2013)
February 2025
Division of Cardiology, Department of Medicine, Brown University, Providence RI.
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of morbidity and mortality worldwide. This review explores the evolving evidence base surrounding ASCVD prevention, particularly regarding nontraditional biomarkers, risk scores, and cardiovascular imaging modalities. Additionally, this review examines cardiovascular risk scores, including the PREVENT and MESA-CHD scores, which incorporate both traditional and nontraditional factors, thereby aspiring to offer a more equitable and precise risk assessment.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
Human Phenome Institute and Shanghai Pudong Hospital, Fudan University, Shanghai, China.
. The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multi-modality and multi-view cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols. ©RSNA, 2025.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!