Optimization of Pulsed Wave Tissue Doppler to Predict Left Ventricular Reverse Remodeling After Cardiac Resynchronization Therapy - 16/08/11
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, Frank Bracke, MD, PhD , Jan M. van Dantzig, MD, PhD , Albert Meijer, MD, PhD , Erik H.M. Korsten, MD, PhD , Kathinka H. Peels, MD , Norbert M. van Hemel, MD, PhD † Department of Cardiology, Catharina Hospital, Eindhoven, the Netherlands Reprint requests: Annemieke H. M. Jansen, Department of Cardiology, Catharina Hospital, Michelangelolaan 2, PO Box 1350, 5602 ZA Eindhoven, the NetherlandsRésumé |
Objective |
The optimal use of pulsed wave Doppler tissue imaging (DTI) in predicting left ventricular (LV) reverse remodeling after cardiac resynchronization therapy (CRT) was investigated.
Methods |
DTI was performed in 69 patients before and 3 months after CRT. Echocardiographic reverse remodeling was observed in 38 patients. LV dyssynchrony was measured with the time to onset or peak systolic velocity in 2– and 6–basal segment models.
Results |
The time to onset and either the standard deviation of 6 segments of > 20 ms or a delay of ≥ 60 ms between any 2 of 6 segments had a similar predictive accuracy (sensitivity, 97% and 95%, respectively; specificity, 74% and 73%, respectively). The time to peak systolic velocity or evaluating 2 segments was less accurate.
Conclusions |
Evaluation of 6 segments is necessary to predict LV reverse remodeling after CRT. The time to onset of systolic velocity is superior to the time to peak velocity.
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Vol 19 - N° 2
P. 185-191 - février 2006 Retour au numéro
Article précédent
- Usefulness of Ventricular Longitudinal Contractility Assessed by Doppler Tissue Imaging in the Prediction of Reverse Remodeling in Patients with Severe Left Ventricular Systolic Dysfunction
- Soo-Jin Kang, Jae-Kwan Song, Jong-Min Song, Duk-Hyun Kang, Eun Young Lee, Jun Kim, Gi-Byoung Nam, Kee-Joon Choi, Jae-Joong Kim, You-Ho Kim
- What Is the Optimal Clinical Technique for Measurement of Left Ventricular Volume After Myocardial Infarction? A Comparative Study of 3-Dimensional Echocardiography, Single Photon Emission Computed Tomography, and Cardiac Magnetic Resonance Imaging
- Jonathan Chan, Carly Jenkins, Frederick Khafagi, Leanne Du, Thomas H. Marwick
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