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10.1016/j.compbiomed.2020.103759 http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2020.103759 32421656!ä!32421656 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32421656&cmd=llinks): Failed to open stream: HTTP request failed! 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Inter-patient variations in flow boundary conditions at middle cerebral artery from 7T PC-MRI and influence on Computational Fluid Dynamics of intracranial aneurysms |pdf=|usr=}}{{32421656}} gab.com Text Inter-patient variations in flow boundary conditions at middle cerebral artery from 7T PC-MRI and influence on Computational Fluid Dynamics of intracranial aneurysms JO: Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=32421656 #FOAvip BACKGROUND: Computational fluid dynamics(CFD) of intracranial aneurysms requires flow boundary conditions(BCs) as inputs. Patient-specific BCs are usually unavailable and substituted by literature-derived generic BCs. Therefore, we investigated inter-patient BC variations and their influence on middle cerebral artery aneurysmal hemodynamics. METHOD: We retrospectively collected CT angiography and 7-T Phase-Contrast(PC)-MRI data from eight middle-cerebral-artery bifurcation aneurysms to reconstruct the geometry and measure the arterial flowrates, respectively. The coefficient of variation(CoV) was calculated for the inlet flowrate and the pulsatility index(PI). The outflow split estimated by Murray's law was compared with PC-MRI measurements. For each aneurysm, we performed seven simulations: "baseline" using PC-MRI-derived BCs and the other six with changing BCs to explore the influence of BC variations on hemodynamics. RESULTS: From PC-MRI, the inlet flowrate was 1.94 +/- 0.71 cm(3)/s(CoV = 36%) and PI was 0.37 +/- 0.13(CoV = 34%). The outflow split estimated by Murray's law deviated by 15.3% compared to PC-MRI. Comparing to "baseline" models, +/-36% variations in inlet flowrate caused -61% to +89% changes in time-averaged wall shear stress(WSS), -37% to +32% in normalized WSS(NWSS; by parent-artery), and -42% to +126% in oscillatory shear index(OSI). The +/-34% variations in PI caused, -46% to +67% in OSI. Applying +/-15% variations in outflow split led to inflow jet deflection and -41% to +52% changes in WSS, -41% to +47% in NWSS, and -44% to +144% in OSI. CONCLUSION: Inflow rate and outflow split have a drastic impact on hemodynamics of intracranial aneurysms. Inlet waveform has a negligible impact on WSS and NWSS but major impact on OSI. CFD-based models need to consider such sensitivity. Twit Text FOAVip Inter-patient variations in flow boundary conditions at middle cerebral artery from 7T PC-MRI and influence on Computational Fluid Dynamics of intracranial aneurysms ????Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=32421656 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32421656 #FOAvip English Wikipedia <ref>{{Cite pmid|32421656}}</ref> Inter-patient variations in flow boundary conditions at middle cerebral artery from 7T PC-MRI and influence on Computational Fluid Dynamics of intracranial aneurysms #MMPMID32421656 Rajabzadeh-Oghaz H; van Ooij P; Veeturi SS; Tutino VM; Zwanenburg JJ; Meng H Comput Biol Med 2020[May]; 120 (ä): 103759 PMID32421656show ga BACKGROUND: Computational fluid dynamics(CFD) of intracranial aneurysms requires flow boundary conditions(BCs) as inputs. Patient-specific BCs are usually unavailable and substituted by literature-derived generic BCs. Therefore, we investigated inter-patient BC variations and their influence on middle cerebral artery aneurysmal hemodynamics. METHOD: We retrospectively collected CT angiography and 7-T Phase-Contrast(PC)-MRI data from eight middle-cerebral-artery bifurcation aneurysms to reconstruct the geometry and measure the arterial flowrates, respectively. The coefficient of variation(CoV) was calculated for the inlet flowrate and the pulsatility index(PI). The outflow split estimated by Murray's law was compared with PC-MRI measurements. For each aneurysm, we performed seven simulations: "baseline" using PC-MRI-derived BCs and the other six with changing BCs to explore the influence of BC variations on hemodynamics. RESULTS: From PC-MRI, the inlet flowrate was 1.94 +/- 0.71 cm(3)/s(CoV = 36%) and PI was 0.37 +/- 0.13(CoV = 34%). The outflow split estimated by Murray's law deviated by 15.3% compared to PC-MRI. Comparing to "baseline" models, +/-36% variations in inlet flowrate caused -61% to +89% changes in time-averaged wall shear stress(WSS), -37% to +32% in normalized WSS(NWSS; by parent-artery), and -42% to +126% in oscillatory shear index(OSI). The +/-34% variations in PI caused, -46% to +67% in OSI. Applying +/-15% variations in outflow split led to inflow jet deflection and -41% to +52% changes in WSS, -41% to +47% in NWSS, and -44% to +144% in OSI. CONCLUSION: Inflow rate and outflow split have a drastic impact on hemodynamics of intracranial aneurysms. Inlet waveform has a negligible impact on WSS and NWSS but major impact on OSI. CFD-based models need to consider such sensitivity. |*Hemodynamics[MESH] |Blood Flow Velocity[MESH] |Cerebrovascular Circulation[MESH] |Computed Tomography Angiography[MESH] |Computer Simulation[MESH] |Contrast Media[MESH] |Humans[MESH] |Hydrodynamics[MESH] |Imaging, Three-Dimensional[MESH] |Intracranial Aneurysm/*diagnostic imaging/pathology/physiopathology[MESH] |Magnetic Resonance Angiography[MESH] |Middle Cerebral Artery/*diagnostic imaging/pathology/physiopathology[MESH] |Models, Cardiovascular[MESH] |Multimodal Imaging[MESH] |Pulsatile Flow[MESH]Inter-patient variations in flow boundary conditions at middle cerebra(epmc).pdf DeepDyve Pubget Overpricing