Impact of minimal lumen segmentation uncertainty on patient-specific coronary simulations: A look at FFR CT .

Autor: Fernández-Martínez D; Departamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, Badajoz, Spain., González-Fernández MR; Servicio de Cardiología Intervencionista, Hospital Universitario de Badajoz, Badajoz, Spain., Nogales-Asensio JM; Servicio de Cardiología Intervencionista, Hospital Universitario de Badajoz, Badajoz, Spain., Ferrera C; Departamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, Badajoz, Spain.; Instituto de Computación Científica Avanzada, Universidad de Extremadura, Badajoz, Spain.
Jazyk: angličtina
Zdroj: International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2024 Jun; Vol. 40 (6), pp. e3822. Date of Electronic Publication: 2024 Apr 02.
DOI: 10.1002/cnm.3822
Abstrakt: We examined the effect of minimal lumen segmentation uncertainty on Fractional Flow Reserve obtained from Coronary Computed Tomography Angiography FFR CT . A total of 14 patient-specific coronary models with different stenosis locations and degrees of severity were enrolled in this study. The optimal segmented coronary lumens were disturbed using intra ± 6 % and inter-operator ± 15 % variations on the segmentation threshold. FFR CT was evaluated in each case by 3D-OD CFD simulations. The findings suggest that the sensitivity of FFR CT to this type of uncertainty increases distally and with the stenosis severity. Cases with moderate or severe distal coronary lesions should undergo either exact and thorough segmentation operations or invasive FFR measurements, particularly if the FFR CT is close to the cutoff (0.80). Therefore, we conclude that it is crucial to consider the lesion's location and degree of severity when evaluating FFR CT results.
(© 2024 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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