PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 28, 2026Magnetic Resonance Imaging Clinics of North America0 citations

Strain Imaging in Heart Failure

View Full Paper
DHDena HayesGBGabriella BayshtokMBMichelle Bloom

Key Result

Strain imaging using echocardiography and cardiovascular magnetic resonance enhances diagnosis, risk stratification, and treatment monitoring in heart failure beyond traditional ejection fraction.

Key Points

  • This research aims to assess the effectiveness of strain imaging techniques in detecting myocardial dysfunction in heart failure populations.
  • Utilized strain imaging via echocardiography and cardiovascular magnetic resonance for assessment.
  • Evaluated various cardiomyopathies and strain's role in cardio-oncology.
  • Analyzed outcomes in regard to risk stratification and treatment monitoring.
  • Strain imaging was shown to enhance diagnosis compared to traditional measures like ejection fraction.
  • Improvements in standardization and clinical integration of strain imaging were noted through advances in CMR techniques.
  • Artificial intelligence applications in strain imaging resulted in better reproducibility in heart failure assessments.

Structured PICO

P
Population
Patients across the heart failure spectrum, with various cardiomyopathies, and in cardio-oncology
I
Intervention
Strain imaging (echocardiography and cardiovascular magnetic resonance)
C
Comparator
Traditional measures such as ejection fraction
O
Outcome
Detection of subclinical myocardial dysfunction, diagnosis, risk stratification, and treatment monitoring

Strain imaging via echocardiography and CMR provides enhanced detection of subclinical myocardial dysfunction and improves risk stratification beyond traditional ejection fraction in heart failure.

Abstract

Strain imaging, performed with echocardiography and cardiovascular magnetic resonance (CMR), is a noninvasive technique for detecting subclinical myocardial dysfunction across the heart failure spectrum, in various cardiomyopathies, and within the field of cardio-oncology. By quantifying myocardial deformation, strain enhances diagnosis, risk stratification, and treatment monitoring beyond traditional measures such as ejection fraction. While echocardiography remains the most accessible modality, ongoing advances in CMR techniques-including incorporation of artificial intelligence-promise to improve standardization, reproducibility, and clinical integration of strain imaging in the management of heart failure and cardiovascular care.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hayes et al. (2026) conducted a review in Heart failure. Strain imaging (echocardiography and CMR) vs. Traditional measures such as ejection fraction was evaluated. Strain imaging using echocardiography and cardiovascular magnetic resonance enhances diagnosis, risk stratification, and treatment monitoring in heart failure beyond traditional ejection fraction.

synapsesocial.com/papers/6a025a3d9cddff7633412a85https://doi.org/10.1016/j.mric.2026.01.007
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Prognostic value of strain by feature-tracking cardiac magnetic resonance in arrhythmogenic right ventricular cardiomyopathy2022 · 36 citations
  2. 2Characterization and clinical significance of right ventricular mechanics in pulmonary hypertension evaluated with cardiovascular magnetic resonance feature tracking2016 · 131 citations
  3. 3StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE2023 · 28 citations
  4. 4Expert consensus on the monitoring of transthyretin amyloid cardiomyopathy2021 · 160 citations