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Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
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Cystic fibrosis (CF) is an autosomal recessive disorder that predominantly affects individuals of Northern European descent, occurring at a rate of 1 in 3500. It is caused by a genetic mutation in a gene on chromosome 7, most commonly the ΔF508 mutation, that codes for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. This results in thicker mucus secretions and obstruction pathologies in multiple organs, including the lungs and sinuses.
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Cardiac MRI and Fibrosis Quantification.

Eugene G Kholmovski1, Alan K Morris2, Mihail G Chelu3

  • 1Comprehensive Arrhythmia Research & Management (CARMA) Center, University of Utah, 729 Arapeen Drive, Salt Lake City, Ut 84108, USA; Utah Center for Advanced Imaging Research (UCAIR), University of Utah, Salt Lake City, UT, USA; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.

Cardiac Electrophysiology Clinics
|August 12, 2019
PubMed
Summary
This summary is machine-generated.

Left atrial fibrosis imaging using LGE-MRI helps predict atrial fibrillation outcomes. This technique assesses ablation effectiveness and guides treatment to restore sinus rhythm.

Keywords:
AblationAtrial fibrillationAtrial fibrosisLGE-MRI

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Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Left atrial fibrosis is a key factor in atrial fibrillation (AF) pathophysiology.
  • Atrial fibrillation ablation is a common treatment to restore normal heart rhythm.
  • Visualizing fibrosis is crucial for effective AF management.

Purpose of the Study:

  • To review the technical aspects of imaging atrial fibrosis and scar using LGE-MRI.
  • To discuss the utility of fibrosis and scar imaging in predicting patient outcomes.
  • To explore LGE-MRI applications in assessing ablation lesions and optimizing treatment parameters.

Main Methods:

  • Late gadolinium enhancement (LGE) Magnetic Resonance Imaging (MRI) is used.
  • Custom image analysis software aids in fibrosis and scar quantification.
  • Preablation fibrosis and postablation scar are visualized and measured.

Main Results:

  • LGE-MRI effectively visualizes and quantifies atrial fibrosis and scar.
  • Imaging findings correlate with patient outcomes and ablation success.
  • The technique helps assess ablation lesion completeness and identify new fibrosis.

Conclusions:

  • LGE-MRI is a valuable tool for characterizing left atrial fibrosis and scar in AF patients.
  • Imaging guides ablation strategies and helps predict treatment success.
  • Optimizing ablation parameters with LGE-MRI can improve patient outcomes and minimize collateral damage.