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


Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
12 2021
Historique:
received: 31 08 2020
revised: 05 05 2021
accepted: 07 06 2021
pubmed: 23 8 2021
medline: 22 2 2022
entrez: 22 8 2021
Statut: ppublish

Résumé

The objective was to determine the feasibility and effectiveness of cardiac magnetic resonance (CMR) cine and strain imaging before and after cardiac resynchronization therapy (CRT) for assessment of response and the optimal resynchronization pacing strategy. CMR with cardiac implantable electronic devices can safely provide high-quality right ventricular/left ventricular (LV) ejection fraction (RVEF/LVEF) assessments and strain. CMR with cine imaging, displacement encoding with stimulated echoes for the circumferential uniformity ratio estimate with singular value decomposition (CURE-SVD) dyssynchrony parameter, and scar assessment was performed before and after CRT. Whereas the pre-CRT scan constituted a single "imaging set" with complete volumetric, strain, and scar imaging, multiple imaging sets with complete strain and volumetric data were obtained during the post-CRT scan for biventricular pacing (BIVP), LV pacing (LVP), and asynchronous atrial pacing modes by reprogramming the device outside the scanner between imaging sets. 100 CMRs with a total of 162 imaging sets were performed in 50 patients (median age 70 years [IQR: 50-86 years]; 48% female). Reduction in LV end-diastolic volumes (P = 0.002) independent of CRT pacing were more prominent than corresponding reductions in right ventricular end-diastolic volumes (P = 0.16). A clear dependence of the optimal CRT pacing mode (BIVP vs LVP) on the PR interval (P = 0.0006) was demonstrated. The LVEF and RVEF improved more with BIVP than LVP with PR intervals ≥240 milliseconds (P = 0.025 and P = 0.002, respectively); the optimal mode (BIVP vs LVP) was variable with PR intervals <240 milliseconds. A lower pre-CRT displacement encoding with stimulated echoes (DENSE) CURE-SVD was associated with greater improvements in the post-CRT CURE-SVD (r = -0.69; P < 0.001), LV end-systolic volume (r = -0.58; P < 0.001), and LVEF (r = -0.52; P < 0.001). CMR evaluation with assessment of multiple pacing modes during a single scan after CRT is feasible and provides useful information for patient care with respect to response and the optimal pacing strategy.

Sections du résumé

OBJECTIVES
The objective was to determine the feasibility and effectiveness of cardiac magnetic resonance (CMR) cine and strain imaging before and after cardiac resynchronization therapy (CRT) for assessment of response and the optimal resynchronization pacing strategy.
BACKGROUND
CMR with cardiac implantable electronic devices can safely provide high-quality right ventricular/left ventricular (LV) ejection fraction (RVEF/LVEF) assessments and strain.
METHODS
CMR with cine imaging, displacement encoding with stimulated echoes for the circumferential uniformity ratio estimate with singular value decomposition (CURE-SVD) dyssynchrony parameter, and scar assessment was performed before and after CRT. Whereas the pre-CRT scan constituted a single "imaging set" with complete volumetric, strain, and scar imaging, multiple imaging sets with complete strain and volumetric data were obtained during the post-CRT scan for biventricular pacing (BIVP), LV pacing (LVP), and asynchronous atrial pacing modes by reprogramming the device outside the scanner between imaging sets.
RESULTS
100 CMRs with a total of 162 imaging sets were performed in 50 patients (median age 70 years [IQR: 50-86 years]; 48% female). Reduction in LV end-diastolic volumes (P = 0.002) independent of CRT pacing were more prominent than corresponding reductions in right ventricular end-diastolic volumes (P = 0.16). A clear dependence of the optimal CRT pacing mode (BIVP vs LVP) on the PR interval (P = 0.0006) was demonstrated. The LVEF and RVEF improved more with BIVP than LVP with PR intervals ≥240 milliseconds (P = 0.025 and P = 0.002, respectively); the optimal mode (BIVP vs LVP) was variable with PR intervals <240 milliseconds. A lower pre-CRT displacement encoding with stimulated echoes (DENSE) CURE-SVD was associated with greater improvements in the post-CRT CURE-SVD (r = -0.69; P < 0.001), LV end-systolic volume (r = -0.58; P < 0.001), and LVEF (r = -0.52; P < 0.001).
CONCLUSIONS
CMR evaluation with assessment of multiple pacing modes during a single scan after CRT is feasible and provides useful information for patient care with respect to response and the optimal pacing strategy.

Identifiants

pubmed: 34419391
pii: S1936-878X(21)00505-2
doi: 10.1016/j.jcmg.2021.06.015
pmc: PMC8671174
mid: NIHMS1732764
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2369-2383

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL147104
Pays : United States
Organisme : NHLBI NIH HHS
ID : R03 HL135463
Pays : United States
Organisme : NHLBI NIH HHS
ID : R56 HL135556
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Funding Support and Author Disclosures The work on this project performed by Drs Hanson, Robinson, and Schumann was supported by National Institutes of Health (NIH) training grant T32 EB00384. Dr Epstein’s effort was supported by National Institutes of Health (NIH) grant R01 HL147104. Dr Bilchick’s work on this project was funded by NIH grants R56 HL135556 and R03 HL135463, and American Heart Association grant 17GRNT33671086. Dr Malhotra has research grant support from Biosense Webster. Dr Darby has grant support from Medtronic and Biosense Webster. Dr Mangrum has research grant support from Boston Scientific, CardioFocus, and St. Jude Medical. Drs Kramer and Epstein have received grant support from Siemens Healthineers. Dr Bilchick has research grant support from Medtronic and Siemens Healthineers. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

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Auteurs

Xu Gao (X)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Mohamad Abdi (M)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.

Daniel A Auger (DA)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.

Changyu Sun (C)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.

Christopher A Hanson (CA)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Austin A Robinson (AA)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Christopher Schumann (C)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Pim J Oomen (PJ)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.

Sarah Ratcliffe (S)

Department of Public Health Sciences, University of Virginia Health System, Charlottesville, Virginia, USA.

Rohit Malhotra (R)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Andrew Darby (A)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Oliver J Monfredi (OJ)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

J Michael Mangrum (JM)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Pamela Mason (P)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Sula Mazimba (S)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.

Jeffrey W Holmes (JW)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA.

Christopher M Kramer (CM)

Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA.

Frederick H Epstein (FH)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA.

Michael Salerno (M)

Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA.

Kenneth C Bilchick (KC)

Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA. Electronic address: bilchick@virginia.edu.

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Classifications MeSH