کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7237614 1471124 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling of thrombin generation under flow in realistic left anterior descending geometries
ترجمه فارسی عنوان
مدل سازی تولید ترومبین تحت جریان در هندسه های نزولی قهوه ای واقع بینانه
کلمات کلیدی
ترومبین انعقاد، مدل سازی انعقاد انعقاد تحت جریان، تولید ترومبین، مدل سازی نسل ترومبین، شبیه سازی تولید ترومبین، جریان شبیه سازی، دینامیک سیالات محاسباتی، آزمون انعقاد، مدل پدیده شناسی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی
Currently there are no available methods for prediction of thrombotic complications in Coronary Artery disease. Additionally, blood coagulation tests are mainly performed in a steady system while coagulation in vivo occurs under flow conditions. In this work, a phenomenological model for coagulation up-to thrombin generation is proposed; the model is mainly based on the results of thrombin generation assays and therefore it can account for the variation of the coagulability that is observed in different individuals. The model is applied on 3 cases of left anterior descending arteries (LAD) with 50% maximum stenosis placed at a different location and have been statistically assessed as of different complication risk. The simulations showed that parameters of thrombin generation assays obtain different values when they refer to thrombin generation under realistic coronary flow conditions. The flow conditions prevailing locally because of the geometric differences among the arterial trees can lead to different initiation times and thrombin production rates and it also alters the spatial distribution of the coagulation products. Similarly, small changes of the coagulation characteristics of blood under identical flow conditions can allow or prevent the initiation of coagulation. The results indicate that combined consideration of geometry and coagulation characteristics of blood can lead to entirely different conclusions compared to independent assessment of each factor.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Engineering & Physics - Volume 50, December 2017, Pages 50-58
نویسندگان
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