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

Abstract
Computed virtual fractional flow reserve (vFFR), derived from invasive angiography, non-invasively quantifies coronary epicardial lesion physiology. Developments of 1-dimensional (1D) vFFR models have introduced methods of side-branch flow representation and reduced simulation time by several orders of magnitude vs. 3-dimensional (3D) alternatives. This study aimed to quantify agreement and diagnostic accuracy of 1D and 3D vFFR models, in a matched cohort, and compare results with established FFR alternatives.
We used five 1D models, which differed in their side-branch flow representation, to compute vFFR in 104 arteries. The simplest model ignored side-branch flow, the second and third models used vessel anatomy to homogenously distribute side-branch flow and regionalize this to bifurcations, respectively. The final two 1D models additionally used simulated pressure in the main vessel to modulate side-branch flow magnitude. To aid interpretability, diagnostic accuracy was also reported for 3D vFFR, visual assessment and resting invasive pressure assessment (Pd/Pa). Median FFR was 0.81 [0.73–0.88] and 46 (44%) lesions were haemodynamically significant. Optimal FFR agreement was achieved with the 1D model that regionalized side-branch flow to bifurcations (mean bias at diagnostic threshold −0.03, 95% agreement limits −0.23 to 0.20). Diagnostic accuracy did not differ significantly between the five 1D models, with area under the curve (AUC) values ranging 0.68 to 0.74. Diagnostic accuracy for 1D vFFR was superior to visual assessment, comparable to 3D vFFR and poorer than invasive resting pressure assessment.
1D models of vFFR facilitate rapid
Contributors

Daniel J Taylor
Author
University of Sheffield Sheffield , United Kingdom of Great Britain & Northern Ireland

Harry Saxton
Author

Xu Xu
Author

Eron Yones
Author

Louise Aubiniere-Robb
Author

Thilanka Adikari
Author

Tom Newman
Author

Marcel van ‘t Veer
Author

Daniëlle C J Keulards
Author

Pim Tonino
Author

Rebecca Gosling
Author

Krzysztof Czechowicz
Author

Andrew Narracott
Author

David R Hose
Author

Julian P Gunn
Author

Ian Halliday
Author

Paul D Morris
Author
University of Sheffield Sheffield , United Kingdom of Great Britain & Northern Ireland
You may be interested in

