Abstract:
This paper presents an analysis of the effectiveness of using one-dimensional network models for virtual assessment of hemodynamic indices whose values are widely used in clinical practice to choose a treatment strategy for coronary heart disease with stenotic lesions of the coronary arteries. It is shown that existing approaches make it is possible to assess hemodynamic indices based on clinical data collected without intervention in the body with an accuracy comparable to the accuracy of the input data and direct measurements. It is also important to take into account the state of the myocardium microvasculature and its influence on the interpretation of modeling results and direct measurements in the clinic.