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Measuring Cardiac Dyssynchrony with DENSE (Displacement Encoding with Stimulated Echoes)-A Systematic Review
Saara Sillanmäki1,2, Hanna-Liina Vainio1, Elias Ylä-Herttuala2,3
1Institute of Medicine, University of Eastern Finland, 70210 Kuopio, Finland.
Displacement Encoding with Stimulated Echoes (DENSE) is a promising cardiovascular magnetic resonance (CMR) imaging technique for measuring myocardial dyssynchrony. DENSE shows potential for clinical use in assessing cardiac function and guiding therapy, despite current analysis time challenges.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Physics
Background:
- Myocardial dyssynchrony evaluation is crucial for diagnosing and managing various cardiac conditions.
- Cardiovascular Magnetic Resonance (CMR) imaging offers advanced techniques for assessing cardiac function.
- Displacement Encoding with Stimulated Echoes (DENSE) is an emerging CMR method for quantifying myocardial motion.
Purpose of the Study:
- To review research on the DENSE method for measuring myocardial dyssynchrony over the past two decades.
- To compare DENSE with other techniques used for evaluating cardiac dyssynchrony.
- To discuss the potential clinical applications of DENSE in cardiovascular magnetic resonance (CMR) imaging.
Main Methods:
- A systematic literature search was conducted across Scopus, Web of Science, PubMed, and Cochrane databases.
- Search terms included variations of DENSE, dyssynchrony, and magnetic resonance imaging (MRI/CMR).
- Included studies focused on DENSE for cardiac dyssynchrony, excluding reviews and case reports.
Main Results:
- DENSE demonstrated high reproducibility in assessing myocardial dyssynchrony.
- The method showed utility in identifying cardiac resynchronisation therapy (CRT) responders and optimizing CRT settings.
- Studies revealed correlations between cardiac fibrosis and mechanical dyssynchrony, and reduced left ventricular synchrony in obese mice.
Conclusions:
- DENSE is a promising tool for quantifying myocardial function and dyssynchrony, offering advantages over existing methods.
- Challenges include the time-consuming nature of DENSE imaging and analysis.
- Advancements in imaging, analysis, and AI may facilitate broader clinical adoption of DENSE.
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