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D. Rodney Hose
Researcher at University of Sheffield
Publications - 37
Citations - 1353
D. Rodney Hose is an academic researcher from University of Sheffield. The author has contributed to research in topics: Fractional flow reserve & Restenosis. The author has an hindex of 15, co-authored 37 publications receiving 1086 citations. Previous affiliations of D. Rodney Hose include Norwegian University of Science and Technology.
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Journal ArticleDOI
Computational fluid dynamics modelling in cardiovascular medicine
Paul Morris,Andrew J. Narracott,Hendrik von Tengg-Kobligk,Daniel Alejandro Silva Soto,Sarah Hsiao,Angela Lungu,Paul C. Evans,Neil W. Bressloff,Patricia V. Lawford,D. Rodney Hose,Julian Gunn +10 more
TL;DR: The adoption of CFD modelling signals a new era in cardiovascular medicine and a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.
Journal ArticleDOI
Virtual Fractional Flow Reserve From Coronary Angiography: Modeling the Significance of Coronary Lesions: Results From the VIRTU-1 (VIRTUal Fractional Flow Reserve From Coronary Angiography) Study
Paul Morris,Desmond Ryan,Allison Morton,Richard Lycett,Patricia V. Lawford,D. Rodney Hose,Julian Gunn +6 more
TL;DR: A computer model that accurately predicts myocardial fractional flow reserve (FFR) from angiographic images alone, in patients with coronary artery disease, was developed and was reliably predicted without the need for invasive measurements or inducing hyperemia.
Journal ArticleDOI
“Virtual” (Computed) Fractional Flow Reserve: Current Challenges and Limitations
TL;DR: Virtual fractional flow reserve has emerged as an attractive alternative to invasive FFR by delivering physiological assessment without the factors that limit the invasive technique, and is likely to become a desirable tool in the functional assessment of coronary artery disease.
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Accuracy vs. computational time: translating aortic simulations to the clinic.
Alistair G. Brown,Yubing Shi,Alberto Marzo,Cristina Staicu,Isra Valverde,Philipp Beerbaum,Patricia V. Lawford,D. Rodney Hose +7 more
TL;DR: Three computational fluid methodologies are employed, of varying levels of complexity with coupled 0D boundary conditions, to simulate the haemodynamics within a patient-specific aorta, demonstrating that, in the context of certain clinical questions, the simpler analysis methods may capture the important characteristics of the flow field.
Journal ArticleDOI
Fast Virtual Fractional Flow Reserve Based Upon Steady-State Computational Fluid Dynamics Analysis: Results From the VIRTU-Fast Study
Paul Morris,Paul Morris,Daniel Alejandro Silva Soto,Jeroen F.A. Feher,D. Rafiroiu,Angela Lungu,Susheel Varma,Patricia V. Lawford,D. Rodney Hose,Julian Gunn,Julian Gunn +10 more
TL;DR: In this article, two mathematical methods (steady and pseudotransient) were developed that accelerate the computation of vFFR from >36h to <36h using paired steady-state CFD analyses, without the need for computationally expensive, full transient CFD analysis.