Literature DB >> 27151268

Image Quality of Cardiac Magnetic Resonance Imaging in Patients With an Implantable Cardioverter Defibrillator System Designed for the Magnetic Resonance Imaging Environment.

Juerg Schwitter1, Michael R Gold2, Ahmed Al Fagih2, Sung Lee2, Michael Peterson2, Allen Ciuffo2, Yan Zhang2, Nina Kristiansen2, Emanuel Kanal2, Torsten Sommer2.   

Abstract

BACKGROUND: Recently, magnetic resonance (MR)-conditional implantable cardioverter defibrillator (ICD) systems have become available. However, associated cardiac MR image (MRI) quality is unknown. The goal was to evaluate the image quality performance of various cardiac MR sequences in a multicenter trial of patients implanted with an MR-conditional ICD system. METHODS AND
RESULTS: The Evera-MRI trial enrolled 275 patients in 42 centers worldwide. There were 263 patients implanted with an Evera-MRI single- or dual-chamber ICD and randomized to controls (n=88) and MRI (n=175), 156 of whom underwent a protocol-required MRI (9-12 weeks post implant). Steady-state-free-precession (SSFP) and fast-gradient-echo (FGE) sequences were acquired in short-axis and horizontal long-axis orientations. Qualitative and quantitative assessment of image quality was performed by using a 7-point scale (grades 1-3: good quality, grades 6-7: nondiagnostic) and measuring ICD- and lead-related artifact size. Good to moderate image quality (grades 1-5) was obtained in 53% and 74% of SSFP and FGE acquisitions, respectively, covering the left ventricle, and in 69% and 84%, respectively, covering the right ventricle. Odds for better image quality were greater for right ventricle versus left ventricle (odds ratio, 1.8; 95% confidence interval, 1.5-2.2; P<0.0001) and greater for FGE versus SSFP (odds ratio, 3.5; 95% confidence interval, 2.5-4.8; P<0.0001). Compared with SSFP, ICD-related artifacts on FGE were smaller (141±65 versus 75±57 mm, respectively; P<0.0001). Lead artifacts were much smaller than ICD artifacts (P<0.0001).
CONCLUSIONS: FGE yields good to moderate quality in 74% of left ventricle and 84% of right ventricle acquisitions and performs better than SSFP in patients with an MRI-conditional ICD system. In these patients, cardiac MRI can offer diagnostic information in most cases. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02117414.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  Image Quality Enhancement and Cardiac Function Test; artifacts; heart ventricles; implantable cardioverter-defibrillator; magnetic resonance imaging

Mesh:

Year:  2016        PMID: 27151268     DOI: 10.1161/CIRCIMAGING.115.004025

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  10 in total

1.  An eight-year prospective controlled study about the safety and diagnostic value of cardiac and non-cardiac 1.5-T MRI in patients with a conventional pacemaker or a conventional implantable cardioverter defibrillator.

Authors:  Pierpaolo Lupo; Riccardo Cappato; Giovanni Di Leo; Francesco Secchi; Giacomo D E Papini; Sara Foresti; Hussam Ali; Guido M G De Ambroggi; Antonio Sorgente; Gianluca Epicoco; Paola M Cannaò; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2018-01-09       Impact factor: 5.315

2.  Reducing cardiac implantable electronic device-induced artefacts in cardiac magnetic resonance imaging.

Authors:  Aino-Maija Vuorinen; Lauri Lehmonen; Jarkko Karvonen; Miia Holmström; Sari Kivistö; Touko Kaasalainen
Journal:  Eur Radiol       Date:  2022-08-27       Impact factor: 7.034

3.  Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images.

Authors:  Davide Piccini; Robin Demesmaeker; John Heerfordt; Jérôme Yerly; Lorenzo Di Sopra; Pier Giorgio Masci; Juerg Schwitter; Dimitri Van De Ville; Jonas Richiardi; Tobias Kober; Matthias Stuber
Journal:  Radiol Artif Intell       Date:  2020-05-27

4.  Clinical utility of cardiovascular magnetic resonance imaging in patients with implantable cardioverter defibrillators presenting with electrical instability or worsening heart failure symptoms.

Authors:  Frank Lindemann; Sabrina Oebel; Ingo Paetsch; Arash Arya; Nikolaos Dagres; Sergio Richter; Borislav Dinov; Sebastian Hilbert; Susanne Loebe; Clara Stegmann; Michael Doering; Andreas Bollmann; Gerhard Hindricks; Cosima Jahnke
Journal:  J Cardiovasc Magn Reson       Date:  2020-05-11       Impact factor: 5.364

5.  Measurement of T1 Mapping in Patients With Cardiac Devices: Off-Resonance Error Extends Beyond Visual Artifact but Can Be Quantified and Corrected.

Authors:  Anish N Bhuva; Thomas A Treibel; Andreas Seraphim; Paul Scully; Kristopher D Knott; João B Augusto; Camilla Torlasco; Katia Menacho; Clement Lau; Kush Patel; James C Moon; Peter Kellman; Charlotte H Manisty
Journal:  Front Cardiovasc Med       Date:  2021-01-29

6.  Feasibility of adenosine stress cardiovascular magnetic resonance perfusion imaging in patients with MR-conditional transvenous permanent pacemakers and defibrillators.

Authors:  Anna Giulia Pavon; Alessandra Pia Porretta; Dimitri Arangalage; Giulia Domenichini; Tobias Rutz; Sarah Hugelshofer; Etienne Pruvot; Pierre Monney; Patrizio Pascale; Juerg Schwitter
Journal:  J Cardiovasc Magn Reson       Date:  2022-01-13       Impact factor: 5.364

7.  Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis.

Authors:  Avan Suinesiaputra; Charlène A Mauger; Bharath Ambale-Venkatesh; David A Bluemke; Josefine Dam Gade; Kathleen Gilbert; Markus H A Janse; Line Sofie Hald; Conrad Werkhoven; Colin O Wu; Joao A C Lima; Alistair A Young
Journal:  Front Cardiovasc Med       Date:  2022-01-21

8.  Signal voids of active cardiac implants at 3.0 T CMR.

Authors:  Theresa Reiter; Ingo Weiss; Oliver M Weber; Wolfgang R Bauer
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

9.  Clinical experience regarding safety and diagnostic value of cardiovascular magnetic resonance in patients with a subcutaneous implanted cardioverter/defibrillator (S-ICD) at 1.5 T.

Authors:  Viktoria Holtstiege; Claudia Meier; Michael Bietenbeck; Grigorios Chatzantonis; Anca Florian; Julia Köbe; Florian Reinke; Lars Eckardt; Ali Yilmaz
Journal:  J Cardiovasc Magn Reson       Date:  2020-05-18       Impact factor: 5.364

Review 10.  Magnetic resonance imaging guidance for the optimization of ventricular tachycardia ablation.

Authors:  Rahul K Mukherjee; John Whitaker; Steven E Williams; Reza Razavi; Mark D O'Neill
Journal:  Europace       Date:  2018-11-01       Impact factor: 5.214

  10 in total

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