Key result
CFD-based pressure gradient evaluation was highly correlated with severe carotid stenosis (r = 0.902), suggesting a potential threshold of PG = 0.88 for distinguishing severe stenosis.
Why the study?
Does CFD-based pressure gradient evaluation correlate with the severity of carotid artery stenosis?
Cross-Sectional (n=19)
Does CFD-based pressure gradient evaluation correlate with the severity of carotid artery stenosis?
Answers are grounded in this paper and cite their sources.
CFD-based pressure gradient evaluation correlates highly with severe carotid stenosis and may serve as a rapid, non-invasive tool for grading stenosis severity.
The functional assessment of a hemodynamic significant stenosis base on blood pressure variation has been applied for evaluation of the myocardial ischemic event. This functional assessment shows great potential for improving the accuracy of the classification of the severity of carotid stenosis. To explore the value of grading the stenosis using a pressure gradient (PG)-we had reconstructed patient-specific carotid geometries based on MRI images-computational fluid dynamics were performed to analyze the PG in their stenotic arteries. Doppler ultrasound image data and the corresponding MRI image data of 19 patients with carotid stenosis were collected. Based on these, 31 stenotic carotid arterial geometries were reconstructed. A combinatorial boundary condition method was implemented for steady-state computer fluid dynamics simulations. Anatomic parameters, including tortuosity (T), the angle of bifurcation, and the cross-sectional area of the remaining lumen, were collected to investigate the effect on the pressure distribution. The PG is highly correlated with the severe stenosis (r = 0.902), whereas generally, the T and the angle of the bifurcation negatively correlate to the pressure drop of the internal carotid artery stenosis. The calculation required <10 min/case, which made it prepared for the fast diagnosis of the severe stenosis. According to the results, we had proposed a potential threshold value for distinguishing severe stenosis from mild-moderate stenosis (PG = 0.88). In conclusion, the PG could serve as the additional factor for improving the accuracy of grading the severity of the stenosis.
No takes yet. Share an insight, caveat, or question.
Liu et al. (2016) conducted a cross-sectional in Carotid stenosis (n=19). CFD-based pressure gradient (PG) evaluation was evaluated on Correlation with severe stenosis (r = 0.902). CFD-based pressure gradient evaluation was highly correlated with severe carotid stenosis (r = 0.902), suggesting a potential threshold of PG = 0.88 for distinguishing severe stenosis.
Synapse has enriched 10 related papers. Consider them for comparative context: