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Analysis of LV lead position in cardiac resynchronization therapy using different imaging modalities
Michael Becker1, Ertunc Altiok, Christina Ocklenburg
1Department of Cardiology, University RWTH Aachen, Aachen, Germany.
Myocardial deformation imaging during left ventricular (LV) pacing accurately determines LV lead position for cardiac resynchronization therapy (CRT). This method best predicts improvements in LV function and remodeling, optimizing CRT outcomes.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Left ventricular (LV) lead position is critical for cardiac resynchronization therapy (CRT) effectiveness.
- Current methods for determining optimal LV lead placement are not well-defined.
- Accurate LV lead positioning impacts CRT patient outcomes.
Purpose of the Study:
- To assess if myocardial deformation imaging during LV pacing can determine LV lead position in CRT.
- To compare different imaging techniques for LV lead position analysis.
- To correlate LV lead position with CRT effectiveness.
Main Methods:
- Evaluated 56 patients undergoing CRT using fluoroscopy and two myocardial deformation imaging techniques.
- Assessed LV lead position by identifying peak circumferential strain differences during LV pacing and biventricular CRT.
- Defined optimal LV lead position based on concordance with the segment exhibiting the latest systolic strain prior to CRT.
Main Results:
- LV lead position determined by LV pacing correlated well with fluoroscopic findings (kappa = 0.761).
- Patients with optimal LV lead position showed significantly greater improvement in LV ejection fraction and reduction in end-diastolic volume.
- Myocardial deformation imaging during LV pacing demonstrated superior discriminatory power for predicting ejection fraction improvement compared to biventricular pacing or fluoroscopy.
Conclusions:
- Myocardial deformation imaging during LV pacing is a viable method for determining LV lead position in CRT.
- LV lead position analysis during LV pacing best predicts improvements in LV function and remodeling.
- This imaging approach offers enhanced prediction of CRT success.
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