A patient-specific lumped-parameter model incorporating head loss at coronary inlets and structured tree boundary conditions accurately predicted coronary hemodynamics and fractional flow reserve.
Does a patient-specific lumped-parameter model incorporating head loss accurately predict coronary hemodynamics and FFR?
A novel patient-specific lumped-parameter model incorporating head loss accurately simulates coronary hemodynamics and FFR, offering a potential non-invasive computational tool for real-time clinical diagnosis of coronary stenosis.
A new lumped-parameter model for coronary hemodynamics is developed. This model is developed for the whole coronary network based on CT scans of a patient-specific geometry including the right coronary tree, which is absent in many previous mathematical models. The model adopts the structured tree model boundary conditions similar to the work of Olufsen et al., thus avoiding the necessity of invasive perfusion measurements. In addition, we also incorporated the effects of the head loss at the two inlets of the large coronary arteries for the first time. The head loss could explain the phenomenon of a sudden increase of the resistance at the inlet of coronary vessel. The estimated blood pressure and flow rate results from the model agree well with the clinical measurements. The computed impedances also match the experimental perfusion measurement. The effects of coronary arterial stenosis are considered and the fractional flow reserve and relative flow in the coronary vessels for a stenotic vessel computed in this model show good agreement with published experimental data. It is believed that the approach could be readily translated to clinical practice to facilitate real time clinical diagnosis.
Duanmu et al. (Thu,) conducted a other in Coronary circulation (n=2). Patient-specific lumped-parameter model with head loss vs. Models without head loss or with constant resistance was evaluated on Coronary blood flow rate, pressure, and fractional flow reserve (FFR). A patient-specific lumped-parameter model incorporating head loss at coronary inlets and structured tree boundary conditions accurately predicted coronary hemodynamics and fractional flow reserve.