Imperial College London
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ProfessorDeclanO'Regan

Faculty of Medicine, Institute of Clinical Sciences

Professor of Imaging Sciences
 
 
 
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Contact

 

+44 (0)20 3313 1510declan.oregan

 
 
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Location

 

Imaging Sciences DepartmentHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jarral:2020:ejcts/ezz280,
author = {Jarral, OA and Tan, MKH and Salmasi, MY and Pirola, S and Pepper, JR and O'Regan, DP and Xu, XY and Athanasiou, T},
doi = {ejcts/ezz280},
journal = {European Journal of Cardio-Thoracic Surgery},
pages = {438--446},
title = {Phase-contrast magnetic resonance imaging and computational fluid dynamics assessment of thoracic aorta blood flow: a literature review},
url = {http://dx.doi.org/10.1093/ejcts/ezz280},
volume = {57},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The death rate from thoracic aortic disease is on the rise and represents a growing global health concern as patients are often asymptomatic before acute events, which have devastating effects on health-related quality of life. Biomechanical factors have been found to play a major role in the development of both acquired and congenital aortic diseases. However, much is still unknown and translational benefits of this knowledge are yet to be seen. Phase-contrast cardiovascular magnetic resonance imaging of thoracic aortic blood flow has emerged as an exceptionally powerful non-invasive tool enabling visualization of complex flow patterns, and calculation of variables such as wall shear stress. This has led to multiple new findings in the areas of phenotype-dependent bicuspid valve flow patterns, thoracic aortic aneurysm formation and aortic prosthesis performance assessment. Phase-contrast cardiovascular magnetic resonance imaging has also been used in conjunction with computational fluid modelling techniques to produce even more sophisticated analyses, by allowing the calculation of haemodynamic variables with exceptional temporal and spatial resolution. Translationally, these technologies may potentially play a major role in the emergence of precision medicine and patient-specific treatments in patients with aortic disease. This clinically focused review will provide a systematic overview of key insights from published studies to date.
AU  - Jarral,OA
AU  - Tan,MKH
AU  - Salmasi,MY
AU  - Pirola,S
AU  - Pepper,JR
AU  - O'Regan,DP
AU  - Xu,XY
AU  - Athanasiou,T
DO  - ejcts/ezz280
EP  - 446
PY  - 2020///
SN  - 1010-7940
SP  - 438
TI  - Phase-contrast magnetic resonance imaging and computational fluid dynamics assessment of thoracic aorta blood flow: a literature review
T2  - European Journal of Cardio-Thoracic Surgery
UR  - http://dx.doi.org/10.1093/ejcts/ezz280
UR  - https://www.ncbi.nlm.nih.gov/pubmed/31638698
UR  - https://academic.oup.com/ejcts/article/57/3/438/5602446
UR  - http://hdl.handle.net/10044/1/74449
VL  - 57
ER  -
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