Invasive validation of novel 1D models for computation of coronary fractional flow reserve

1D models of vFFR facilitate rapid in-silico assessment of epicardial lesion severity. Inclusion of anatomical side branch flow mildly improved agreement, but the additional inclusion of simulated pressure was not beneficial. Agreement of 1D models was comparable to 3D simulations. However, current 1D models are not sufficiently accurate to suggest they may entirely replace wire-based assessment.

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Publication Details

Journal
Cardiovascular Research
Published
2025-09-22
DOI
https://doi.org/10.1093/cvr/cvaf168
Citations
4
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
8.03

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article

Invasive validation of novel 1D models for computation of coronary fractional flow reserve

Pim A.L. Tonino, Krzysztof Czechowicz, Ian Halliday, Julian Gunn et al.
4 citations
Cardiovascular Research
Coronary Interventions and Diagnostics
8.03
article

Invasive validation of novel 1D models for computation of coronary fractional flow reserve

Pim A.L. Tonino, Krzysztof Czechowicz, Ian Halliday, Julian Gunn, Danielle Keulards, Eron Yones, Rod Hose, Louise Aubinière-Robb, Thiruni Adikari, Harry Saxton, Tom Newman, Rebecca Gosling, Andrew Narracott, Xu Xu, Paul Morris, Daniel James Taylor, Marcel van’t Veer
article en
4 citations

Abstract

1D models of vFFR facilitate rapid in-silico assessment of epicardial lesion severity. Inclusion of anatomical side branch flow mildly improved agreement, but the additional inclusion of simulated pressure was not beneficial. Agreement of 1D models was comparable to 3D simulations. However, current 1D models are not sufficiently accurate to suggest they may entirely replace wire-based assessment.

Cardiovascular ResearchVol. 121(14)
Radboud University Nijmegen (NL), Catharina Ziekenhuis (NL), Sheffield Teaching Hospitals NHS Foundation Trust (GB), King's College Hospital NHS Foundation Trust (GB), Kingston Hospital (GB), Insigneo (GB), Eindhoven University of Technology (NL), University of Sheffield (GB)
National Institute for Health and Care Research, NIHR Sheffield Biomedical Research Centre
Openalex Percentile: Top 2%
Coronary Interventions and Diagnostics
8.03
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