PURPOSE: To report the technical aspects of a novel method to generate patient-specific vascular network models of arterial vasculature for the surgical planning of vascular access (VA) for hemodialysis. METHODS: On the basis of literature data, we defined a set of rules for estimation of diameter, length and compliance of arterial network segments, at patient-specific level, as a function of general descriptors (i.e. sex, age, body size and pathology). Using this method we generated vascular network models of height hypothetical patients with different age, sex and body surface area and we computed pressures and blood flows along the arterial arm vasculature using a wave propagation model. RESULTS: Simulation results show that vascular geometry is influenced by sex, age and body size leading to important differences in hemodynamic function. Calculated wall shear stress is higher in women females as compared to men, regardless of body size and age. CONCLUSIONS: Our method facilitates estimating vascular network model parameters useful for patient-specific pre-operative assessment of blood flow distribution in the arterial arm circulation.
PURPOSE: To report the technical aspects of a novel method to generate patient-specific vascular network models of arterial vasculature for the surgical planning of vascular access (VA) for hemodialysis. METHODS: On the basis of literature data, we defined a set of rules for estimation of diameter, length and compliance of arterial network segments, at patient-specific level, as a function of general descriptors (i.e. sex, age, body size and pathology). Using this method we generated vascular network models of height hypotheticalpatients with different age, sex and body surface area and we computed pressures and blood flows along the arterial arm vasculature using a wave propagation model. RESULTS: Simulation results show that vascular geometry is influenced by sex, age and body size leading to important differences in hemodynamic function. Calculated wall shear stress is higher in women females as compared to men, regardless of body size and age. CONCLUSIONS: Our method facilitates estimating vascular network model parameters useful for patient-specific pre-operative assessment of blood flow distribution in the arterial arm circulation.
Authors: Michela Bozzetto; Stefano Rota; Valentina Vigo; Francesco Casucci; Carlo Lomonte; Walter Morale; Massimo Senatore; Luigi Tazza; Massimo Lodi; Giuseppe Remuzzi; Andrea Remuzzi Journal: BMC Med Inform Decis Mak Date: 2017-03-14 Impact factor: 2.796
Authors: Andrzej A Kononowicz; Andrew J Narracott; Simone Manini; Martin J Bayley; Patricia V Lawford; Keith McCormack; Nabil Zary Journal: J Med Internet Res Date: 2014-01-23 Impact factor: 5.428
Authors: Neeraj Kavan Chakshu; Jason Carson; Igor Sazonov; Perumal Nithiarasu Journal: Int J Numer Method Biomed Eng Date: 2019-02-20 Impact factor: 2.747