Cardiovascular magnetic resonance (CMR) has become an accepted method for noninvasive imaging in cardiology. As part of a multimodality concept, this method can contribute valuable diagnostic aspects, often even as a first-choice method in a variety of diseases. Currently the availability is still limited, but the increasing time efficiency, technical stability and the growing competence will lead to more guideline-compliant use. The increase of CMR inclusion into guidelines of various societies is mainly based on the unique selling point of CMR, which is noninvasive myocardial tissue differentiation. In addition to efficient ischemia diagnosis, the ability to differentiate active from chronic inflammatory processes as well as the identification of reversible and irreversible damage are some aspects CMR can offer. New developments are sequences which allow for a parametric assessment of myocardial tissue based on T1- and T2-relaxation times. This is especially useful if the exact pathophysiology is unclear, as it is often the case in left ventricular hypertrophy for example. Next to the noninvasive myocardial tissue characterization CMR allows for quantitative hemodynamic assessment of the heart and the related pathologies. Flows as well as gradients can be quantified based on 2D-flow-sequences. New 4D-sequences are aiming to further characterize blood flow in the heart and the great vessels beyond flow volume and gradients. As with any diagnostic method a qualified application is crucial. In recent years, the technique itself has become much more stable and consensus recommendations of the Society for Cardiovascular Magnetic Resonance are available for the main indications, both for the MRI scan procedure and for the evaluation. Appropriate qualifications and certification opportunities are offered both nationally and internationally.
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http://dx.doi.org/10.1055/a-1554-8382 | DOI Listing |
Curr Cardiol Rep
January 2025
Onassis Cardiac Surgery Center, Athens, Greece.
Purpose Of Review: Our purpose was to discuss the advantages and disadvantages of various noninvasive imaging modalities in the evaluation of cardiovascular disease (CVD) in patients with autoimmune rheumatic diseases (ARDs). The detailed knowledge of imaging modalities will facilitate the diagnosis and follow up of CVD in ARDs.
Recent Findings: Autoimmune Rheumatic Diseases (ARDs) are characterized by alterations in immunoregulatory system of the body.
Physiol Res
December 2024
Department of Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Myocardial remodelling involves structural and functional changes in the heart, potentially leading to heart failure. The deoxycorticosterone acetate (DOCA)/salt model is a widely used experimental approach to study hypertension-induced cardiac remodelling. It allows to investigate the mechanisms underlying myocardial fibrosis and hypertrophy, which are key contributors to impaired cardiac function.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Cardiology (T.P., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), MIRACL.ai (Multimodality Imaging for Research and Analysis Core Laboratory: and Artificial Intelligence) (T.P., S.T., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), Inserm MASCOT-UMRS 942 (T.P., K.H., T.A.S., T.G., A.L., E.G., A.U., J.G.D., P.H.), and Department of Radiology (T.P., V.B., L.H., T.G.), Université Paris Cité, University Hospital of Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France; Cardiovascular Magnetic Resonance Laboratory (T.P., T.H., T.U., F.S., S.C., P.G., J.G.) and Cardiac Computed Tomography Laboratory (T.P., T.H., T.L., B.C., T.U., F.S., S.C., H.B., A.N., M.A., P.G., J.G.), Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France; Scientific Partnerships, Siemens Healthcare France, Saint-Denis, France (S.T.); Department of Cardiology, Hôpital Universitaire de Bruxelles-Hôpital Erasme, Brussels, Belgium (A.U.); and Department of Cardiovascular Imaging, American Hospital of Paris, Neuilly, France (O.V., M.S.).
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Purpose: This study aimed to assess the hemodynamic changes in the vena cava and predict the likelihood of Cardiac Remodeling (CR) and Myocardial Fibrosis (MF) in athletes utilizing four-dimensional (4D) parameters.
Materials And Methods: A total of 108 athletes and 29 healthy sedentary controls were prospectively recruited and underwent Cardiac Magnetic Resonance (CMR) scanning. The 4D flow parameters, including both general and advanced parameters of four planes for the Superior Vena Cava (SVC) and Inferior Vena Cava (IVC) (sheets 1-4), were measured and compared between the different groups.
Zhonghua Xin Xue Guan Bing Za Zhi
January 2025
Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100037, China.
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