Computational haemodynamic study for digital health applications

초록

Diagnostic technology uses a computed heamodyamic result in a patient-specific reconstructed coronary arterial tree in order to estimate haemodynamically significant coronary stenosis. The aim of the present study is to evaluate the diagnostic performance of non-invasive calculation results by using a vessellength method based computational fluid dynamics. A patient-specific arterial tree was reconstructed from computed tomography angiography obtained from medical multi-centers. The blood flow simulations in the arterial models were performed by using a Navier-Stokes solver which is based on a finite element method, coupling with a vessel-length method. Pressure, velocity, wall shear stress and other haemodynamic parameters were computed in artery models. For validation, the computed haemodynamic results were compared with a clinically measured invasive data. The accuracy, sensitivity, specificity, positive predictive value and negative predictive value, and area under the receiver operating characteristic curve for the non-invasive haemodynamic results were compared with other results reported from previous studies. With the vessel-length based CFD simulation, the non-invasive haemodynamic results showed a good diagnostic performance as well as better digital health applications through a simple procedure.