OBJECTIVES: We evaluated the ability of delayed enhancement magnetic resonance imaging (DE-MRI) to predict clinical response to cardiac resynchronization therapy (CRT). BACKGROUND: Cardiac resynchronization therapy reduces morbidity and mortality in selected heart failure patients. However, up to 30% of patients do not have a response. We hypothesized that scar burden on DE-MRI predicts response to CRT. METHODS: The DE-MRI was performed on 28 heart failure patients undergoing CRT. Patients with QRS > or =120 ms, left ventricular ejection fraction < or =35%, New York Heart Association functional class II to IV, and dyssynchrony > or =60 ms were studied. Baseline and 3-month clinical follow-up, wall motion, 6-min walk, and quality of life assessment were performed. The DE-MRI was performed 10 min after 0.20 mmol/kg intravenous gadolinium. Scar measured by planimetry was correlated with response criteria. RESULTS: Twenty-three patients completed the protocol (mean age 64.9 +/- 11.7 years), with 12 (52%) having a history of myocardial infarction. Thirteen (57%) patients met response criteria. Percent total scar was significantly higher in the nonresponse versus response group (median and interquartile range of 24.7% [18.1 to 48.7] vs. 1.0% [0.0 to 8.7], p = 0.0022) and predicted nonresponse by receiver-operating characteristic analysis (area = 0.94). At a cutoff value of 15%, percent total scar provided a sensitivity and specificity of 85% and 90%, respectively, for clinical response to CRT. Similarly, septal scar < or =40% provided a 100% sensitivity and specificity for response. Regression analysis showed linear correlations between percent total scar and change in each of the individual response criteria. CONCLUSIONS: The DE-MRI accurately predicted clinical response to CRT. This technique offers unique information in the assessment of patients referred for CRT.
OBJECTIVES: We evaluated the ability of delayed enhancement magnetic resonance imaging (DE-MRI) to predict clinical response to cardiac resynchronization therapy (CRT). BACKGROUND: Cardiac resynchronization therapy reduces morbidity and mortality in selected heart failurepatients. However, up to 30% of patients do not have a response. We hypothesized that scar burden on DE-MRI predicts response to CRT. METHODS: The DE-MRI was performed on 28 heart failurepatients undergoing CRT. Patients with QRS > or =120 ms, left ventricular ejection fraction < or =35%, New York Heart Association functional class II to IV, and dyssynchrony > or =60 ms were studied. Baseline and 3-month clinical follow-up, wall motion, 6-min walk, and quality of life assessment were performed. The DE-MRI was performed 10 min after 0.20 mmol/kg intravenous gadolinium. Scar measured by planimetry was correlated with response criteria. RESULTS: Twenty-three patients completed the protocol (mean age 64.9 +/- 11.7 years), with 12 (52%) having a history of myocardial infarction. Thirteen (57%) patients met response criteria. Percent total scar was significantly higher in the nonresponse versus response group (median and interquartile range of 24.7% [18.1 to 48.7] vs. 1.0% [0.0 to 8.7], p = 0.0022) and predicted nonresponse by receiver-operating characteristic analysis (area = 0.94). At a cutoff value of 15%, percent total scar provided a sensitivity and specificity of 85% and 90%, respectively, for clinical response to CRT. Similarly, septal scar < or =40% provided a 100% sensitivity and specificity for response. Regression analysis showed linear correlations between percent total scar and change in each of the individual response criteria. CONCLUSIONS: The DE-MRI accurately predicted clinical response to CRT. This technique offers unique information in the assessment of patients referred for CRT.
Authors: David Birnie; Rob A de Kemp; Anthony S Tang; Terence D Ruddy; Michael H Gollob; Ann Guo; Kathryn Williams; Kerry Thomson; Jean N DaSilva; Rob S Beanlands Journal: J Nucl Cardiol Date: 2011-12-10 Impact factor: 5.952
Authors: Michel Lalonde; David Birnie; Terrence D Ruddy; Robert A deKemp; Richard W Wassenaar Journal: J Nucl Cardiol Date: 2010-04-29 Impact factor: 5.952
Authors: Kenneth C Bilchick; Sujith Kuruvilla; Yasmin S Hamirani; Raghav Ramachandran; Samantha A Clarke; Katherine M Parker; George J Stukenborg; Pamela Mason; John D Ferguson; J Randall Moorman; Rohit Malhotra; J Michael Mangrum; Andrew E Darby; John Dimarco; Jeffrey W Holmes; Michael Salerno; Christopher M Kramer; Frederick H Epstein Journal: J Am Coll Cardiol Date: 2014-03-05 Impact factor: 24.094
Authors: Daniel R Ludwig; Mati Friehling; Erik B Schelbert; David Schwartzman Journal: Eur J Nucl Med Mol Imaging Date: 2013-11-09 Impact factor: 9.236