Literature DB >> 25581423

Singular Value Decomposition Applied to Cardiac Strain from MR Imaging for Selection of Optimal Cardiac Resynchronization Therapy Candidates.

Raghav Ramachandran1, Xiao Chen, Christopher M Kramer, Frederick H Epstein, Kenneth C Bilchick.   

Abstract

PURPOSE: To use singular value decomposition (SVD) in heart failure (HF) to reveal primary spatiotemporal strain patterns in the left ventricle (LV), then develop and test a time-independent metric of cardiac dyssynchrony on the basis of the circumferential uniformity ratio estimate (CURE) computed with SVD (CURE-SVD) in both a canine model of HF with or without left bundle branch block (LBBB) and a clinical cohort referred for cardiac resynchronization therapy (CRT).
MATERIALS AND METHODS: The research was approved by the institutional review board and conformed with HIPAA requirements. All subjects provided informed consent. In both the canine model (n = 13) and the clinical cohort (80 CRT candidates; mean age, 65.2 years; range, 18.5-86.9 years), regional strains were derived by using cardiac magnetic resonance (MR) displacement encoding with stimulated echoes. CURE-SVD was compared with the standard CURE (averaged over systolic phases). Statistical methods included the Wilcoxon rank-sum test, Hodges-Lehmann estimator, Bland-Altman test, multivariable logistic regression, and receiver operating characteristic analysis.
RESULTS: In the canine model, the median difference in CURE-SVD (range, 0-1) for LBBB-HF group versus narrow-QRS-HF group (-0.40; 95% confidence interval [CI]: -0.79, -0.31) was similar to that for CURE (-0.43; 95% CI: -0.72, -0.34]). In 80 CRT candidates, CURE-SVD and CURE were highly correlated (r = 0.90; P < .0001). The multivariable model for CRT response with CURE-SVD demonstrated excellent performance without the need for time averaging over cardiac phases (area under the receiver operating characteristic curve = 0.96, P < .0001).
CONCLUSION: SVD of circumferential strain in HF identifies primary LV spatiotemporal contraction patterns with minimal user input, while the time-independent CURE-SVD parameter has excellent performance in a canine model of dyssynchrony and is strongly associated with CRT response in patients with HF. (©)RSNA, 2015.

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Year:  2015        PMID: 25581423      PMCID: PMC4456179          DOI: 10.1148/radiol.14141578

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  22 in total

1.  Myocardial tissue tracking with two-dimensional cine displacement-encoded MR imaging: development and initial evaluation.

Authors:  Daniel Kim; Wesley D Gilson; Christopher M Kramer; Frederick H Epstein
Journal:  Radiology       Date:  2004-01-22       Impact factor: 11.105

2.  Heart failure management using implantable devices for ventricular resynchronization: Comparison of Medical Therapy, Pacing, and Defibrillation in Chronic Heart Failure (COMPANION) trial. COMPANION Steering Committee and COMPANION Clinical Investigators.

Authors:  M R Bristow; A M Feldman; L A Saxon
Journal:  J Card Fail       Date:  2000-09       Impact factor: 5.712

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  Tracking myocardial motion from cine DENSE images using spatiotemporal phase unwrapping and temporal fitting.

Authors:  B S Spottiswoode; X Zhong; A T Hess; C M Kramer; E M Meintjes; B M Mayosi; Frederick H Epstein
Journal:  IEEE Trans Med Imaging       Date:  2007-01       Impact factor: 10.048

5.  Three-dimensional mapping of optimal left ventricular pacing site for cardiac resynchronization.

Authors:  Robert H Helm; Melissa Byrne; Patrick A Helm; Samantapudi K Daya; Nael F Osman; Richard Tunin; Henry R Halperin; Ronald D Berger; David A Kass; Albert C Lardo
Journal:  Circulation       Date:  2007-02-12       Impact factor: 29.690

6.  The effect of cardiac resynchronization on morbidity and mortality in heart failure.

Authors:  John G F Cleland; Jean-Claude Daubert; Erland Erdmann; Nick Freemantle; Daniel Gras; Lukas Kappenberger; Luigi Tavazzi
Journal:  N Engl J Med       Date:  2005-03-07       Impact factor: 91.245

7.  Results of the Predictors of Response to CRT (PROSPECT) trial.

Authors:  Eugene S Chung; Angel R Leon; Luigi Tavazzi; Jing-Ping Sun; Petros Nihoyannopoulos; John Merlino; William T Abraham; Stefano Ghio; Christophe Leclercq; Jeroen J Bax; Cheuk-Man Yu; John Gorcsan; Martin St John Sutton; Johan De Sutter; Jaime Murillo
Journal:  Circulation       Date:  2008-05-05       Impact factor: 29.690

8.  Diminished left ventricular dyssynchrony and impact of resynchronization in failing hearts with right versus left bundle branch block.

Authors:  Melissa J Byrne; Robert H Helm; Samantapudi Daya; Nael F Osman; Henry R Halperin; Ronald D Berger; David A Kass; Albert C Lardo
Journal:  J Am Coll Cardiol       Date:  2007-09-24       Impact factor: 24.094

9.  Systolic improvement and mechanical resynchronization does not require electrical synchrony in the dilated failing heart with left bundle-branch block.

Authors:  Christophe Leclercq; Owen Faris; Richard Tunin; Jennifer Johnson; Ritsuchi Kato; Frank Evans; Julio Spinelli; Henry Halperin; Elliot McVeigh; David A Kass
Journal:  Circulation       Date:  2002-10-01       Impact factor: 29.690

10.  Postprocedure mapping of cardiac resynchronization lead position using standard fluoroscopy systems: implications for the nonresponder with scar.

Authors:  Katherine M Parker; Ethan Bunting; Rohit Malhotra; Samantha A Clarke; Pamela Mason; Andrew E Darby; Christopher M Kramer; Michael Salerno; Jeffrey W Holmes; Kenneth C Bilchick
Journal:  Pacing Clin Electrophysiol       Date:  2014-01-28       Impact factor: 1.976

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  8 in total

1.  Cardiac resynchronization therapy reduces expression of inflammation-promoting genes related to interleukin-1β in heart failure.

Authors:  Kenneth Bilchick; Hema Kothari; Aditya Narayan; James Garmey; Abdullah Omar; Brian Capaldo; Coleen McNamara
Journal:  Cardiovasc Res       Date:  2020-06-01       Impact factor: 10.787

2.  Implantable Cardioverter-Defibrillators With Versus Without Resynchronization Therapy in Patients With a QRS Duration >180 ms.

Authors:  Varun Sundaram; Jayakumar Sahadevan; Albert L Waldo; George J Stukenborg; Yogesh N V Reddy; Samuel J Asirvatham; Judith A Mackall; Anselma Intini; Brigid Wilson; Daniel I Simon; Kenneth C Bilchick
Journal:  J Am Coll Cardiol       Date:  2017-04-25       Impact factor: 24.094

3.  Imaging left-ventricular mechanical activation in heart failure patients using cine DENSE MRI: Validation and implications for cardiac resynchronization therapy.

Authors:  Daniel A Auger; Kenneth C Bilchick; Jorge A Gonzalez; Sophia X Cui; Jeffrey W Holmes; Christopher M Kramer; Michael Salerno; Frederick H Epstein
Journal:  J Magn Reson Imaging       Date:  2017-01-09       Impact factor: 4.813

4.  Cardiac Magnetic Resonance Assessment of Response to Cardiac Resynchronization Therapy and Programming Strategies.

Authors:  Xu Gao; Mohamad Abdi; Daniel A Auger; Changyu Sun; Christopher A Hanson; Austin A Robinson; Christopher Schumann; Pim J Oomen; Sarah Ratcliffe; Rohit Malhotra; Andrew Darby; Oliver J Monfredi; J Michael Mangrum; Pamela Mason; Sula Mazimba; Jeffrey W Holmes; Christopher M Kramer; Frederick H Epstein; Michael Salerno; Kenneth C Bilchick
Journal:  JACC Cardiovasc Imaging       Date:  2021-08-18

5.  Prediction of Cardiac Resynchronization Therapy Response Using a Lead Placement Score Derived From 4-Dimensional Computed Tomography.

Authors:  Ashish Manohar; Gabrielle M Colvert; James Yang; Zhennong Chen; Maria J Ledesma-Carbayo; Mads Brix Kronborg; Anders Sommer; Bjarne L Nørgaard; Jens Cosedis Nielsen; Elliot R McVeigh
Journal:  Circ Cardiovasc Imaging       Date:  2022-08-16       Impact factor: 8.589

Review 6.  The Potential of Clinical Phenotyping of Heart Failure With Imaging Biomarkers for Guiding Therapies: A Focused Update.

Authors:  Partho P Sengupta; Christopher M Kramer; Jagat Narula; Vasken Dilsizian
Journal:  JACC Cardiovasc Imaging       Date:  2017-09

7.  Cardiovascular magnetic resonance detects the progression of impaired myocardial perfusion reserve and increased left-ventricular mass in mice fed a high-fat diet.

Authors:  Nivedita K Naresh; Joshua T Butcher; Robert J Lye; Xiao Chen; Brant E Isakson; Li-Ming Gan; Christopher M Kramer; Brian H Annex; Frederick H Epstein
Journal:  J Cardiovasc Magn Reson       Date:  2016-09-09       Impact factor: 5.364

8.  Cardiac magnetic resonance defines mechanisms of sex-based differences in outcomes following cardiac resynchronization therapy.

Authors:  Derek J Bivona; Srikar Tallavajhala; Mohamad Abdi; Pim J A Oomen; Xu Gao; Rohit Malhotra; Andrew Darby; Oliver J Monfredi; J Michael Mangrum; Pamela Mason; Sula Mazimba; Michael Salerno; Christopher M Kramer; Frederick H Epstein; Jeffrey W Holmes; Kenneth C Bilchick
Journal:  Front Cardiovasc Med       Date:  2022-09-15
  8 in total

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