Comparison of stenosis models for usage in the estimation of pressure gradient across aortic coarctation

Non-invasive estimation of the pressure gradient in cardiovascular stenosis has much clinical importance in assisting the diagnosis and treatment of stenotic diseases. In this research, a systematic comparison is conducted to investigate the accuracy of a group of stenosis models against the MRI- and catheter-measured patient data under the aortic coarctation condition. Eight analytical stenosis models, including six from the literature and two proposed in this study, are investigated to examine their prediction accuracy against the clinical data. The two improved models proposed in this study consider comprehensively the Poiseuille loss, the Bernoulli loss in its exact form, and the entrance effect, of the blood flow. Comparison of the results shows that one of the proposed models demonstrates a cycle-averaged mean prediction error of -0.15 +/- 3.03 mmHg, a peak-to-peak prediction error of -1.8 +/- 6.89 mmHg, which is the best among the models studied.

Automated summary

Non-invasive estimation of pressure gradient in cardiovascular stenosis is crucial for assisting diagnosis and treatment. Through a systematic comparison, one of the improved models proposed in this research demonstrates the best prediction accuracy among the models studied.