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Calvieri C, Riva A, Sturla F, Dominici L, Conia L, Gaudio C, Miraldi F, Secchi F, Galea N. Left Ventricular Adverse Remodeling in Ischemic Heart Disease: Emerging Cardiac Magnetic Resonance Imaging Biomarkers. J Clin Med 2023; 12:jcm12010334. [PMID: 36615133 PMCID: PMC9820966 DOI: 10.3390/jcm12010334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/10/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023] Open
Abstract
Post-ischemic left ventricular (LV) remodeling is a biologically complex process involving myocardial structure, LV shape, and function, beginning early after myocardial infarction (MI) and lasting until 1 year. Adverse remodeling is a post-MI maladaptive process that has been associated with long-term poor clinical outcomes. Cardiac Magnetic Resonance (CMR) is the best tool to define adverse remodeling because of its ability to accurately measure LV end-diastolic and end-systolic volumes and their variation over time and to characterize the underlying myocardial changes. Therefore, CMR is the gold standard method to assess in vivo myocardial infarction extension and to detect the presence of microvascular obstruction and intramyocardial hemorrhage, both associated with adverse remodeling. In recent times, new CMR quantitative biomarkers emerged as predictive of post-ischemic adverse remodeling, such as T1 mapping, myocardial strain, and 4D flow. Additionally, CMR T1 mapping imaging may depict infarcted tissue and assess diffuse myocardial fibrosis by using surrogate markers such as extracellular volume fraction, which may predict functional recovery or risk stratification of remodeling. Finally, there is emerging evidence supporting the utility of intracavitary blood flow kinetic energy and hemodynamic features assessed by the 4D flow CMR technique as early predictors of remodeling.
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Affiliation(s)
- Camilla Calvieri
- Department of Clinical, Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00100 Rome, Italy
- Correspondence:
| | - Alessandra Riva
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20129 Milan, Italy
- 3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, 20097 Milan, Italy
| | - Francesco Sturla
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20129 Milan, Italy
- 3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, 20097 Milan, Italy
| | - Lorenzo Dominici
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00100 Rome, Italy
| | - Luca Conia
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00100 Rome, Italy
| | - Carlo Gaudio
- Department of Clinical, Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00100 Rome, Italy
| | - Fabio Miraldi
- Department of Clinical, Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00100 Rome, Italy
| | - Francesco Secchi
- Unit of Radiology, IRCCS Policlinico San Donato, 20097 Milan, Italy
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, 20129 Milan, Italy
| | - Nicola Galea
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00100 Rome, Italy
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