PMID- 24954462 OWN - NLM STAT- MEDLINE DCOM- 20150615 LR - 20221222 IS - 1876-7591 (Electronic) IS - 1876-7591 (Linking) VI - 7 IP - 7 DP - 2014 Jul TI - CMR in patients with severe myocarditis: diagnostic value of quantitative tissue markers including extracellular volume imaging. PG - 667-75 LID - S1936-878X(14)00296-4 [pii] LID - 10.1016/j.jcmg.2014.02.005 [doi] AB - OBJECTIVES: This study evaluated the accuracy of T2, T1, and extracellular volume (ECV) quantification as novel quantitative tissue markers in comparison with standard "Lake-Louise" cardiac magnetic resonance (CMR) criteria to diagnose myocarditis. BACKGROUND: Novel approaches using T2 and T1 mapping may overcome the limitations of signal intensity-based parameters, which would potentially result in a better diagnostic accuracy compared with standard CMR techniques in suspected myocarditis. METHODS: CMR was performed in 104 patients with myocarditis and 21 control subjects at 1.5-T. Patients with myocarditis underwent CMR 2 weeks (interquartile range: 1 to 7 weeks) after presentation with new-onset heart failure (n = 66) or acute chest pain (n = 38). T2 and T1 mapping were implemented into a standard protocol including T2-weighted (T2w), early gadolinium enhancement (EGE) CMR, and late gadolinium enhancement (LGE) CMR. T2 quantification was performed using a free-breathing, navigator-gated multiecho sequence. T1 quantification was performed using the modified Look-Locker inversion recovery sequence before and after administration of 0.075 mmol/kg gadobenate dimeglumine. T2, T1, and ECV maps were generated using a plug-in for the OsiriX software (Pixmeo, Bernex, Switzerland) to calculate mean global myocardial T2, T1, and ECV values. RESULTS: The diagnostic accuracies of conventional CMR were 70% (95% confidence interval [CI]: 61% to 77%) for T2w CMR, 59% (95% CI: 56% to 73%) for EGE, and 67% (95% CI: 59% to 75%) for LGE. The diagnostic accuracies of mapping techniques were 63% (95% CI: 53% to 73%) for myocardial T2, 69% (95% CI: 60% to 76%) for native myocardial T1, and 76% (95% CI: 68% to 82%) for global myocardial ECV. The diagnostic accuracy of CMR was significantly improved to 90% (95% CI: 84% to 95%) by a stepwise approach, using the presence of LGE and myocardial ECV >/=27% as diagnostic criteria, compared with 79% (95% CI: 71% to 85%; p = 0.0043) for the Lake-Louise criteria. CONCLUSIONS: In patients with clinical evidence for subacute, severe myocarditis, ECV quantification with LGE imaging significantly improved the diagnostic accuracy of CMR compared with standard Lake-Louise criteria. CI - Copyright (c) 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved. FAU - Radunski, Ulf K AU - Radunski UK AD - University Heart Center, General and Interventional Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. FAU - Lund, Gunnar K AU - Lund GK AD - Department of Diagnostic and Interventional Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. FAU - Stehning, Christian AU - Stehning C AD - Philips Research, Hamburg, Germany. FAU - Schnackenburg, Bernhard AU - Schnackenburg B AD - Philips Healthcare Germany, Hamburg, Germany. FAU - Bohnen, Sebastian AU - Bohnen S AD - University Heart Center, General and Interventional Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. FAU - Adam, Gerhard AU - Adam G AD - Department of Diagnostic and Interventional Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. FAU - Blankenberg, Stefan AU - Blankenberg S AD - University Heart Center, General and Interventional Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. FAU - Muellerleile, Kai AU - Muellerleile K AD - University Heart Center, General and Interventional Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Electronic address: ka.muellerleile@uke.de. LA - eng PT - Comparative Study PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20140618 PL - United States TA - JACC Cardiovasc Imaging JT - JACC. Cardiovascular imaging JID - 101467978 RN - AU0V1LM3JT (Gadolinium) SB - IM CIN - JACC Cardiovasc Imaging. 2014 Jul;7(7):676-8. PMID: 25034917 CIN - JACC Cardiovasc Imaging. 2015 Jan;8(1):109-10. PMID: 25592701 CIN - JACC Cardiovasc Imaging. 2015 Jan;8(1):110. PMID: 25592702 MH - Adult MH - Edema, Cardiac/diagnosis MH - Female MH - Gadolinium MH - Humans MH - Magnetic Resonance Imaging/*methods MH - Male MH - Middle Aged MH - Myocarditis/*diagnosis OTO - NOTNLM OT - T1 mapping OT - T2 mapping OT - cardiac magnetic resonance OT - extracellular volume OT - myocarditis EDAT- 2014/06/24 06:00 MHDA- 2015/06/16 06:00 CRDT- 2014/06/24 06:00 PHST- 2013/10/31 00:00 [received] PHST- 2014/02/14 00:00 [revised] PHST- 2014/02/18 00:00 [accepted] PHST- 2014/06/24 06:00 [entrez] PHST- 2014/06/24 06:00 [pubmed] PHST- 2015/06/16 06:00 [medline] AID - S1936-878X(14)00296-4 [pii] AID - 10.1016/j.jcmg.2014.02.005 [doi] PST - ppublish SO - JACC Cardiovasc Imaging. 2014 Jul;7(7):667-75. doi: 10.1016/j.jcmg.2014.02.005. Epub 2014 Jun 18.