Risk prediction for thoracic aortic dissection: Is it time to go with the flow?

Affiliations

¹ Department of Surgery, Imperial College London, London, United Kingdom. Electronic address: y.salmasi@imperial.ac.uk.
² BHF Centre of Research Excellence, Institute of Clinical Sciences, Imperial College London, London, United Kingdom.
³ Department of Cardiology, Royal Brompton and Harefield Trust, London, United Kingdom.
⁴ Department of Surgery, Imperial College London, London, United Kingdom.

Editorial

M Yousuf Salmasi et al. J Thorac Cardiovasc Surg. 2023 Oct.

. 2023 Oct;166(4):1034-1042.

doi: 10.1016/j.jtcvs.2022.05.016. Epub 2022 May 16.

¹ Department of Surgery, Imperial College London, London, United Kingdom. Electronic address: y.salmasi@imperial.ac.uk.
² BHF Centre of Research Excellence, Institute of Clinical Sciences, Imperial College London, London, United Kingdom.
³ Department of Cardiology, Royal Brompton and Harefield Trust, London, United Kingdom.
⁴ Department of Surgery, Imperial College London, London, United Kingdom.

No abstract available

Keywords: 4D-flow MRI; aortic dissection; fluid–structure interaction model; risk prediction.

Publication types