Evaluation of models of sequestration flow in coronary arteries—Physiology versus anatomy?

Taylor, Daniel J.; Saxton, Harry; Halliday, Ian; Newman, Tom; Feher, Jeroen; Gosling, Rebecca; Narracott, Andrew J.; van Kemenade, Denise; van’t Veer, Marcel; Tonino, Pim A.L.; Rochette, Michel; Hose, D. Rodney; Gunn, Julian P.; Morris, Paul D.

doi:10.1016/j.compbiomed.2024.108299

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2024

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Cited by 3 publications

References 40 publications

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Letter to the editor

Taylor,

Morris

2024

Medical Engineering & Physics

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Letter to the editor

Taylor,

Morris

2024

Medical Engineering & Physics

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Letter to the editor

Pu,

Xie

2024

Medical Engineering & Physics

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The Impact of Experimental Designs & System Sloppiness on the Personalisation Process: A Cardiovascular Perspective

Saxton,

Taylor,

Faulkner

et al. 2024

Preprint

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To employ a reduced-order cardiovascular model as a digital twin for personalised medicine, it is essential to understand how uncertainties in the model's input parameters affect its outputs. The aim is to identify a set of input parameters that can serve as clinical biomarkers, providing insight into a patient's physiological state. Given the challenge of finding useful clinical data, careful consideration must be given to the experimental design used to acquire patient-specific input parameters. In this paper, we conduct the first quantification of a cardiovascular system's sloppiness to elucidate the structure of the input parameter space. By utilising Sobol indices and examining various synthetic cardiovascular measures with increasing invasiveness, we uncover how the personalisation process and the cardiovascular system's sloppiness are contingent upon the chosen experimental design. Our findings reveal that continuous clinical measures induce system sloppiness and increase the number of personalisable biomarkers, whereas discrete clinical measurements produce a non-sloppy system with a reduced number of biomarkers. This study underscores the necessity for careful consideration of available clinical data as differing measurement sets can significantly impact model personalisation.

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Evaluation of models of sequestration flow in coronary arteries—Physiology versus anatomy?

Cited by 3 publications

References 40 publications

Letter to the editor

Letter to the editor

Letter to the editor

The Impact of Experimental Designs & System Sloppiness on the Personalisation Process: A Cardiovascular Perspective

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