Maxim Avanesov1, Julia Münch2,3, Julius Weinrich1, Lennart Well1, Dennis Säring4, Christian Stehning5, Enver Tahir1, Sebastian Bohnen2, Ulf K Radunski2, Kai Muellerleile2, Gerhard Adam1, Monica Patten2,3, Gunnar Lund6. 1. Department of Diagnostic and Interventional Radiology, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. 2. Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany. 3. DZHK (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany. 4. Information Technology and Image Processing, University of Applied Sciences, Wedel, Germany. 5. Philips Research, Hamburg, Germany. 6. Department of Diagnostic and Interventional Radiology, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. glund@uke.de.
Abstract
OBJECTIVES: To evaluate the ability of late gadolinium enhancement (LGE) and mapping cardiac magnetic resonance (CMR) including native T1 and global extracellular volume (ECV) to identify hypertrophic cardiomyopathy (HCM) patients at risk for sudden cardiac death (SCD) and to predict syncope or non-sustained ventricular tachycardia (VT). METHODS: A 1.5-T CMR was performed in 73 HCM patients and 16 controls. LGE size was quantified using the 3SD, 5SD and full width at half maximum (FWHM) method. T1 and ECV maps were generated by a 3(3)5 modified Look-Locker inversion recovery sequence. Receiver-operating curve analysis evaluated the best parameter to identify patients with increased SCD risk ≥4% and patients with syncope or non-sustained VT. RESULTS: Global ECV was the best predictor of SCD risk with an area under the curve (AUC) of 0.83. LGE size was significantly inferior to global ECV with an AUC of 0.68, 0.70 and 0.70 (all P < 0.05) for 3SD-, 5SD- and FWHM-LGE, respectively. Combined use of the SCD risk score and global ECV significantly improved the diagnostic accuracy to identify HCM patients with syncope or non-sustained VT. CONCLUSIONS: Combined use of the SCD risk score and global ECV has the potential to improve HCM patient selection, benefiting most implantable cardioverter defibrillators. KEY POINTS: • Global ECV identified the best HCM patients with increased SCD risk. • Global ECV performed equally well compared to a SCD risk score. • Combined use of the SCD risk score and global ECV improved test accuracy. • Combined use potentially improves selection of HCM patients for ICD implantation.
OBJECTIVES: To evaluate the ability of late gadolinium enhancement (LGE) and mapping cardiac magnetic resonance (CMR) including native T1 and global extracellular volume (ECV) to identify hypertrophic cardiomyopathy (HCM) patients at risk for sudden cardiac death (SCD) and to predict syncope or non-sustained ventricular tachycardia (VT). METHODS: A 1.5-T CMR was performed in 73 HCM patients and 16 controls. LGE size was quantified using the 3SD, 5SD and full width at half maximum (FWHM) method. T1 and ECV maps were generated by a 3(3)5 modified Look-Locker inversion recovery sequence. Receiver-operating curve analysis evaluated the best parameter to identify patients with increased SCD risk ≥4% and patients with syncope or non-sustained VT. RESULTS: Global ECV was the best predictor of SCD risk with an area under the curve (AUC) of 0.83. LGE size was significantly inferior to global ECV with an AUC of 0.68, 0.70 and 0.70 (all P < 0.05) for 3SD-, 5SD- and FWHM-LGE, respectively. Combined use of the SCD risk score and global ECV significantly improved the diagnostic accuracy to identify HCM patients with syncope or non-sustained VT. CONCLUSIONS: Combined use of the SCD risk score and global ECV has the potential to improve HCM patient selection, benefiting most implantable cardioverter defibrillators. KEY POINTS: • Global ECV identified the best HCM patients with increased SCD risk. • Global ECV performed equally well compared to a SCD risk score. • Combined use of the SCD risk score and global ECV improved test accuracy. • Combined use potentially improves selection of HCM patients for ICD implantation.
Authors: Bernard J Gersh; Barry J Maron; Robert O Bonow; Joseph A Dearani; Michael A Fifer; Mark S Link; Srihari S Naidu; Rick A Nishimura; Steve R Ommen; Harry Rakowski; Christine E Seidman; Jeffrey A Towbin; James E Udelson; Clyde W Yancy Journal: J Am Coll Cardiol Date: 2011-11-08 Impact factor: 24.094
Authors: Martin S Maron; Evan Appelbaum; Caitlin J Harrigan; Jacki Buros; C Michael Gibson; Connie Hanna; John R Lesser; James E Udelson; Warren J Manning; Barry J Maron Journal: Circ Heart Fail Date: 2008-06-23 Impact factor: 8.790
Authors: Constantinos O'Mahony; Fatima Jichi; Menelaos Pavlou; Lorenzo Monserrat; Aristides Anastasakis; Claudio Rapezzi; Elena Biagini; Juan Ramon Gimeno; Giuseppe Limongelli; William J McKenna; Rumana Z Omar; Perry M Elliott Journal: Eur Heart J Date: 2013-10-14 Impact factor: 29.983
Authors: Oliver Bruder; Anja Wagner; Christoph J Jensen; Steffen Schneider; Peter Ong; Eva-Maria Kispert; Kai Nassenstein; Thomas Schlosser; Georg V Sabin; Udo Sechtem; Heiko Mahrholdt Journal: J Am Coll Cardiol Date: 2010-06-25 Impact factor: 24.094
Authors: Raymond H Chan; Barry J Maron; Iacopo Olivotto; Michael J Pencina; Gabriele Egidy Assenza; Tammy Haas; John R Lesser; Christiane Gruner; Andrew M Crean; Harry Rakowski; James E Udelson; Ethan Rowin; Massimo Lombardi; Franco Cecchi; Benedetta Tomberli; Paolo Spirito; Francesco Formisano; Elena Biagini; Claudio Rapezzi; Carlo Nicola De Cecco; Camillo Autore; E Francis Cook; Susie N Hong; C Michael Gibson; Warren J Manning; Evan Appelbaum; Martin S Maron Journal: Circulation Date: 2014-08-05 Impact factor: 29.690
Authors: Sujith Kuruvilla; Nebiyu Adenaw; Arabindra B Katwal; Michael J Lipinski; Christopher M Kramer; Michael Salerno Journal: Circ Cardiovasc Imaging Date: 2013-12-20 Impact factor: 7.792
Authors: Christopher A Miller; Josephine H Naish; Paul Bishop; Glyn Coutts; David Clark; Sha Zhao; Simon G Ray; Nizar Yonan; Simon G Williams; Andrew S Flett; James C Moon; Andreas Greiser; Geoffrey J M Parker; Matthias Schmitt Journal: Circ Cardiovasc Imaging Date: 2013-04-03 Impact factor: 7.792
Authors: Kongkiat Chaikriangkrai; Muhannad Aboud Abbasi; Roberto Sarnari; Ryan Dolan; Daniel Lee; Allen S Anderson; Kambiz Ghafourian; Sadiya S Khan; Esther E Vorovich; Jonathan D Rich; Jane E Wilcox; Julie A Blaisdell; Clyde W Yancy; James Carr; Michael Markl Journal: JACC Cardiovasc Imaging Date: 2020-03-18
Authors: Laura Keil; Céleste Chevalier; Paulus Kirchhof; Stefan Blankenberg; Gunnar Lund; Kai Müllerleile; Christina Magnussen Journal: Int J Mol Sci Date: 2021-07-01 Impact factor: 5.923