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Assessing Regurgitation Severity, Adverse Remodeling, and Fibrosis with CMR in Aortic Regurgitation

  • 22-03-2024
  • CSF Drainage
  • Cardiac PET, CT, and MRI (P Cremer, Section Editor)
Published in:

Abstract

Purpose of Review

Cardiac magnetic resonance (CMR) is emerging as a valuable imaging modality for the assessment of aortic regurgitation (AR). In this review, we discuss the assessment of AR severity, left ventricular (LV) remodeling, and tissue characterization by CMR while highlighting the latest studies and addressing future research needs.

Recent Findings

Recent studies have further established CMR-based thresholds of AR severity and LV remodeling that are associated with adverse clinical outcomes, and lower than current guideline criteria. In addition, tissue profiling with late gadolinium enhancement (LGE) and extracellular volume (ECV) quantification can reliably assess adverse myocardial tissue remodeling which is also associated with adverse outcomes.

Summary

The strengths and reproducibility of CMR in evaluating ventricular volumes, tissue characteristics, and regurgitation severity position it as an excellent modality in evaluating and following AR patients. Advanced CMR techniques for the detection of tissue remodeling have shown significant potential and merit further investigation.
Title
Assessing Regurgitation Severity, Adverse Remodeling, and Fibrosis with CMR in Aortic Regurgitation
Authors
Mujtaba Saeed
Akila Bersali
Amr Darwish
Fatima Qamar
Dimitrios Maragiannis
Kinan Carlos El-Tallawi
Maan Malahfji
Dipan J. Shah
Publication date
22-03-2024
Publisher
Springer US
Keyword
CSF Drainage
Published in
Current Cardiology Reports / Issue 5/2024
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-024-02044-3
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Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
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Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME