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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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Computational fluid dynamics modelling in cardiovascular medicine

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.
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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

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.
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“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.

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.
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Fast Virtual Fractional Flow Reserve Based Upon Steady-State Computational Fluid Dynamics Analysis: Results From the VIRTU-Fast Study

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.