@article{b53b13bf9bbf44c69d3c5bf0d465e629,
title = "Myocardial fibrosis quantified by cardiac CT predicts outcome in severe aortic stenosis after transcatheter intervention",
author = "Scully, \{Paul R.\} and Patel, \{Kush P.\} and Ernst Klotz and Augusto, \{Jo{\~a}o B.\} and Thornton, \{George D.\} and Bunny Saberwal and Ulrike Haberland and Simon Kennon and Muhiddin Ozkor and Michael Mullen and Guy Lloyd and Andrew Kelion and Menezes, \{Leon J.\} and Hawkins, \{Philip N.\} and Moon, \{James C.\} and Francesca Pugliese and Treibel, \{Thomas A.\}",
note = "Funding Information: †Drs Pugliese and Treibel are joint last authors. Dr Scully was supported by a British Heart Foundation Clinical Research Training Fellowship (FS/16/31/32185). Dr Patel is supported by an unrestricted educational grant from Edwards Lifesciences and a British Heart Foundation Clinical Research Training Fellowship (FS/19/48/34523). Dr Klotz is a consultant for Siemens Healthineers. Dr Thornton is supported by a British Heart Foundation Clinical Research Training Fellowship (FS/CRTF/21/24128). Dr Saberwal is supported by an educational grant from Siemens Healthineers. Dr Haberland is an employee of Siemens Healthineers. Drs Moon and Treibel are directly and indirectly supported by the University College London Hospitals National Institute for Health Research (NIHR) Biomedical Research Centre and Biomedical Research Unit at University College London Hospitals and Barts, respectively. Dr Pugliese has received research support from Siemens Healthineers; and this work forms part of the translational research portfolio of the NIHR Cardiovascular Biomedical Research Centre at Barts Heart Centre, which is supported and funded by the NIHR. Dr Treibel is funded by a British Heart Foundation Intermediate Research Fellowship (FS/19/35/34374) and previously received consultancy fees from Toshiba Medical Systems Europe. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. ",
year = "2022",
month = mar,
doi = "10.1016/j.jcmg.2021.10.016",
language = "English",
volume = "15",
pages = "542--544",
journal = "JACC: Cardiovascular Imaging",
issn = "1936-878X",
publisher = "Elsevier Inc.",
number = "3",
}