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Published on: April 11, 2025
Advanced Cardiac Imaging for Risk Prediction of Pacing-Induced Cardiomyopathy: A Narrative Literature Review
Karla Asturias1, Sarah Li1, Shivani Reddy2
1Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR 97239, USA.
Noninvasive cardiac imaging can identify patients at risk for pacing-induced cardiomyopathy (PICM) before symptoms arise. Echocardiography and cardiac MRI help predict heart failure and guide pacing strategies to mitigate PICM risk.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Pacing-induced cardiomyopathy (PICM) is a frequent complication of right ventricular (RV) pacing, linked to dyssynchrony.
- Existing risk factors for PICM have limited predictive accuracy.
- PICM encompasses various forms, including heart failure with preserved ejection fraction and RV failure.
Purpose of the Study:
- To review current evidence on noninvasive imaging for identifying patients at high risk of PICM.
- To explore the role of cardiac imaging in predicting and managing PICM.
- To summarize imaging techniques for early PICM detection.
Main Methods:
- Comprehensive literature search of PubMed, Scopus, Google Scholar, and Cochrane databases (2000-2025).
- Inclusion of randomized controlled trials, observational studies, guidelines, and systematic reviews.
- Keywords included RV pacing, PICM, echocardiography, CT, and cardiac MRI.
Main Results:
- Cardiac imaging is crucial for diagnosing PICM and detecting at-risk patients pre-symptomatically.
- 2D/3D echocardiography with global longitudinal strain can detect early PICM development.
- Cardiac MRI accurately assesses volumes, synchrony, and quantifies myocardial fibrosis, a PICM predictor.
Conclusions:
- Pre-implantation cardiac imaging can predict heart failure risk and guide pacing modality selection.
- An imaging-guided approach can advance PICM management.
- Noninvasive imaging offers sensitive parameters for PICM risk stratification.
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