Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance.

Autor: Jada L; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.; King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia., Holtackers RJ; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom. rob.holtackers@mumc.nl.; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands. rob.holtackers@mumc.nl.; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands. rob.holtackers@mumc.nl., Martens B; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands., Nies HMJM; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands., Van De Heyning CM; GENCOR, University of Antwerp, Antwerp, Belgium.; Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium., Botnar RM; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile., Wildberger JE; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands., Ismail TF; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom., Razavi R; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom., Chiribiri A; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Mar 05; Vol. 14 (1), pp. 5395. Date of Electronic Publication: 2024 Mar 05.
DOI: 10.1038/s41598-024-52058-8
Abstrakt: Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
(© 2024. The Author(s).)
Databáze: MEDLINE
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