Computational simulation of carotid stenosis and flow dynamics based on patient ultrasound data – A new tool for risk assessment and surgical planning

Advances in Medical Sciences - Tập 61 - Trang 32-39 - 2016
Luísa C. Sousa1,2, Catarina F. Castro1,2, Carlos C. António1,2, Fernando Sousa2, Rosa Santos3,4, Pedro Castro3,4, Elsa Azevedo3,4
1Department of Mechanical Engineering, Faculty of Engineering, University of Porto, Porto, Portugal
2Institute of Mechanical Engineering (IDMEC), University of Porto, Porto, Portugal
3Department of Neurology, São João Hospital Centre, Porto, Portugal
4Department of Clinical Neurosciences and Mental Health, Faculty of Medicine University of Porto, Porto, Portugal

Tài liệu tham khảo

Glagov, 1988, Hemodynamics atherosclerosis. Insights and perspectives gained from studies of human arteries, Arch Pathol Lab Med, 112, 1018 Ku, 1985, Pulsatile flow and atherosclerosis in the human carotid bifurcation. Positive correlation between plaque location and low oscillating shear stress, Arteriosclerosis, 5, 293, 10.1161/01.ATV.5.3.293 Nagel, 1999, Vascular endothelial cells respond to spatial gradients in fluid shear stress by enhanced activation of transcription factors, Arterioscler Thromb Vasc Biol, 19, 1825, 10.1161/01.ATV.19.8.1825 Zarins, 1983, Carotid bifurcation atherosclerosis. Quantitative correlation of plaque localization with flow velocity profiles and wall shear stress, Circ Res, 53, 502, 10.1161/01.RES.53.4.502 Zhang, 2012, Flow patterns and wall shear stress distribution in human internal carotid arteries: the geometric effect on the risk for stenoses, J Biomech, 45, 83, 10.1016/j.jbiomech.2011.10.001 Krams, 1997, Arterioscler Thromb Vasc Biol, 17, 2061, 10.1161/01.ATV.17.10.2061 Lee, 2008, Geometry of the carotid bifurcation predicts its exposure to disturbed flow, Stroke, 39, 2341, 10.1161/STROKEAHA.107.510644 Bijari, 2012, Improved prediction of disturbed flow via hemodynamically-inspired geometric variables, J Biomech, 45, 1632, 10.1016/j.jbiomech.2012.03.030 Gallo, 2012, Helical flow in carotid bifurcation as surrogate marker of exposure to disturbed shear, J Biomech, 45, 2398, 10.1016/j.jbiomech.2012.07.007 Ai, 2010, Real-time assessment of flow reversal in an eccentric arterial stenotic model, J Biomech, 43, 2678, 10.1016/j.jbiomech.2010.06.021 Meagher, 2007, Anatomical flow phantoms of the nonplanar carotid bifurcation, Part II: Experimental validation with Doppler ultrasound, Ultrasound Med Biol, 33, 303, 10.1016/j.ultrasmedbio.2006.08.004 Poepping, 2010, Flow patterns in carotid bifurcation models using pulsed Doppler ultrasound: effect of concentric vs. eccentric stenosis on turbulence and recirculation, Ultrasound Med Biol, 36, 1125, 10.1016/j.ultrasmedbio.2010.02.005 Lee, 2008, Direct numerical simulation of transitional flow in a stenosed carotid bifurcation, J Biomech, 41, 2551, 10.1016/j.jbiomech.2008.03.038 Botnar, 2000, Hemodynamics in the carotid artery bifurcation: a comparison between numerical simulations and in vitro MRI measurements, J Biomech, 33, 137, 10.1016/S0021-9290(99)00164-5 De Santis, 2010, Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography, Med Biol Eng Comput, 48, 371, 10.1007/s11517-010-0583-4 De Santis, 2013, Haemodynamic impact of stent-vessel (mal)apposition following carotid artery stenting: mind the gaps, Comput Methods Biomech Biomed Eng, 16, 648, 10.1080/10255842.2011.629997 Dong, 2013, Hemodynamics analysis of patient-specific carotid bifurcation: a CFD model of downstream peripheral vascular impedance, Int J Numer Method Biomed Eng, 29, 476, 10.1002/cnm.2529 Gill, 2000, Accuracy variability assessment of a semiautomatic technique for segmentation of the carotid arteries from three dimensional ultrasound images, Med Phys, 27, 1333, 10.1118/1.599014 Ladak, 2001, A semiautomatic technique for measurement of arterial wall from black blood MRI, Med Phys, 28, 1098, 10.1118/1.1368125 Zhao, 2002, Inter-individual variations in wall shear stress and mechanical stress distributions at the carotid artery bifurcation of healthy humans, J Biomech, 35, 1367, 10.1016/S0021-9290(02)00185-9 Hammer, 2009, Acquisition of 3-d arterial geometries and integration with computational fluid dynamics ultrasound, Med Biol, 35, 2069 Lee, 2004, Ultrasound image-based computer model of a common carotid artery with a plaque, Med Eng Phys, 26, 823, 10.1016/j.medengphy.2004.08.013 Rocha, 2010, Segmentation of the carotid intima-media region in B-mode ultrasound images, Image Vis Comput, 28, 614, 10.1016/j.imavis.2009.09.017 Swillens, 2012, Accuracy of carotid strain estimates from ultrasonic wall tracking: a study based on multiphysics simulations and in vivo data, IEEE Trans Med Imaging, 31, 131, 10.1109/TMI.2011.2165959 Hoskins, 2008, Simulation and validation of arterial ultrasound imaging and blood flow, Ultrasound Med Biol, 34, 693, 10.1016/j.ultrasmedbio.2007.10.017 Udesen, 2007, Examples of in vivo blood vector velocity estimation, Ultrasound Med Biol, 33, 541, 10.1016/j.ultrasmedbio.2006.10.014 Watts, 2007, Anatomical flow phantoms of the nonplanar carotid bifurcation, Part I: Computer-aided design and fabrication, Ultrasound Med Biol, 33, 296, 10.1016/j.ultrasmedbio.2006.08.003 Hoi, 2010, Carotid bifurcation hemodynamics in older adults: effect of measured versus assumed flow waveform, J Biomech Eng, 132, 10.1115/1.4001265 Gallo, 2015, An insight into the mechanistic role of the common carotid artery on the hemodynamics at the carotid bifurcation, Ann Biomed Eng, 43, 68, 10.1007/s10439-014-1119-0 Sousa, 2014, Towards hemodynamic diagnosis of carotid artery stenosis based on ultrasound image data and computational modeling, Med Biol Eng Comput, 52, 971, 10.1007/s11517-014-1197-z Hoi, 2010, Characterization of volumetric flow rate waveforms at the carotid bifurcations of older adults, Physiol Meas, 31, 291, 10.1088/0967-3334/31/3/002 Antiga, 2008, An image-based modeling framework for patient-specific computational hemodynamics, Med Biol Eng Comput, 46, 1097, 10.1007/s11517-008-0420-1 Almeida, 2000, Adaptive finite element computational fluid dynamics using an anisotropic error estimator, Comput Methods Appl Mech Eng, 182, 379, 10.1016/S0045-7825(99)00200-5 Müller, 2005, Anisotropic adaptive finite element method for modelling blood flow, Comput Methods Biomech Biomed Eng, 8, 295, 10.1080/10255840500264742 Sousa, 2011, Computational techniques and validation of blood flow simulation, WSEAS Trans Biol Biomed, 8, 145 Sousa, 2012, Blood flow simulation and vascular reconstruction, J Biomech, 45, 2549, 10.1016/j.jbiomech.2012.07.033 Sousa, 2012, Blood flow simulation and applications, vol. 1, 67 Lee, 2007, On the relative importance of rheology for image-based CFD models of the carotid bifurcation, ASME J Biomech Eng, 129, 273, 10.1115/1.2540836 Morbiducci, 2011, On the importance of blood rheology for bulk flow in hemodynamic models of the carotid bifurcation, J Biomech, 44, 2427, 10.1016/j.jbiomech.2011.06.028 Kim, 2009, Augmented Lagrangian method for constraining the shape of velocity profiles at outlet boundaries for three-dimensional finite element simulations of blood flow, Comput Methods Appl Mech Eng, 198, 3551, 10.1016/j.cma.2009.02.012 Morbiducci, 2010, Outflow conditions for image-based hemodynamic models of the carotid bifurcation: implication for indicators of abnormal flow, J Biomech Eng, 132, 091005, 10.1115/1.4001886 Womersley, 1955, Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known, J Physiol, 127, 553, 10.1113/jphysiol.1955.sp005276 Lee, 2009, Correlations among indicators of disturbed flow at the normal carotid bifurcation, J Biomech Eng, 131, 061013, 10.1115/1.3127252 Morbiducci, 2010, Quantitative analysis of bulk flow in image-based hemodynamic models of the carotid bifurcation: the influence of outflow conditions as test case, Ann Biomed Eng, 38, 3688, 10.1007/s10439-010-0102-7 Hoi, 2010, Effect of common carotid artery inlet length on normal carotid bifurcation hemodynamics, J Biomech Eng, 132, 121008, 10.1115/1.4002800