@article{QIMS155055,
author = {Xinhong Wang and Xiaodan Feng and Shuangxiang Lin and Mengxi Xu and Linlin Ma and Rongliang Chen and Haipeng Liu},
title = {Effect of smoking on the diagnostic performance of computational fluid dynamics-derived CT-derived fractional flow reserve: a cross-sectional study},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {16},
number = {7},
year = {2026},
keywords = {},
abstract = {Background: Previous studies have suggested that smoking may be associated with coronary microvascular dysfunction (CMD), which could theoretically impact computed tomography (CT)-derived fractional flow reserve (FFRct) reliability, but no direct evidence exists regarding FFRct performance in smoking populations. This study aimed to compare the diagnostic performance of FFRct between smokers and non-smokers using a personalized myocardial volume calibration approach in computational fluid dynamics (CFD) simulations.Methods: This sub-study of the HBFlows trial included 298 patients (106 smokers and 192 non-smokers) with suspected coronary artery disease (CAD) who underwent coronary CT angiography (CCTA), invasive fractional flow reserve (FFR), and FFRct assessment. Smoking status was determined from lifestyle records. FFRct was calculated using CFD simulations with myocardial volume [measured via three-dimensional (3D) left ventricular segmentation] as a boundary condition, solved via the Newton-Krylov-Schwarz (NKS) method. Diagnostic performance was evaluated using sensitivity, specificity, accuracy, and area under the receiver operating characteristic (ROC) curve (AUC), with invasive FFR as the reference standard.Results: Smokers had significantly larger myocardial volumes than non-smokers (193.4 vs. 157.9 mL, P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/155055}
}