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Updated: Jun 29, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
Published on: May 24, 2021
How to use MRI in cardiac disease with diastolic dysfunction?
Farah Cadour1,2, Adrien Cour1, Jules Senlis1
1Cardiac Imaging Unit, Department of Radiology, University Hospital of Rouen, Rouen 76000, France.
Left ventricular diastolic dysfunction (DD) is a growing public health concern. Cardiac magnetic resonance (CMR) imaging can complement echocardiography to assess DD and identify its causes.
Area of Science:
- Cardiology
- Medical Imaging
- Cardiovascular Physiology
Background:
- Left ventricular diastolic dysfunction (DD) is an early, often asymptomatic stage of heart failure.
- DD can progress to heart failure with preserved or reduced ejection fraction.
- It is characterized by impaired relaxation and reduced ventricular compliance.
Purpose of the Study:
- To review cardiac magnetic resonance (CMR) imaging findings in left ventricular diastolic dysfunction (DD).
- To highlight imaging features that aid in identifying the underlying causes of DD.
- To explore how CMR can advance the assessment of diastolic function beyond traditional echocardiography.
Main Methods:
- Review of current literature and established guidelines on CMR in DD.
- Step-by-step analysis of CMR sequences and parameters relevant to diastolic function.
- Correlation of CMR findings with echocardiographic data and clinical presentation.
Main Results:
- CMR offers detailed tissue characterization and volumetric analysis beyond standard echocardiography.
- Specific CMR sequences can reveal patterns indicative of impaired relaxation and altered filling.
- CMR can differentiate causes of DD, such as infiltrative diseases or hypertensive heart disease.
Conclusions:
- Cardiac magnetic resonance (CMR) imaging is a valuable tool for comprehensively assessing left ventricular diastolic dysfunction (DD).
- CMR complements transthoracic echocardiography by providing insights into tissue properties and underlying etiologies of DD.
- Integrating CMR findings can enhance diagnostic accuracy and guide management strategies for DD.
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