2020
DOI: 10.1016/j.jvscit.2019.09.009
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Multiscale, patient-specific computational fluid dynamics models predict formation of neointimal hyperplasia in saphenous vein grafts

Abstract: Stenosis due to neointimal hyperplasia (NIH) is among the major causes of peripheral graft failure. Its link to abnormal hemodynamics in the graft is complex, and isolated use of hemodynamic markers is insufficient to fully capture its progression. Here, a computational model of NIH growth is presented, establishing a link between computational fluid dynamics simulations of flow in the lumen and a biochemical model representing NIH growth mechanisms inside the vessel wall. For all three patients analyzed, NIH … Show more

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Cited by 11 publications
(14 citation statements)
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References 28 publications
(34 reference statements)
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“…As mentioned above, external factors unrelated to the physical properties of Biotubes were considered because the stenosis of Biotubes occurred locally and was delayed. Simulations of saphenous vein graft stenosis after lower extremity bypass surgery using computational fluid dynamics [ 20 , 21 , 22 ] and a discussion of the angle and shape of the anastomosis [ 23 ] have been reported, and the phenomenon of IH in the vascular graft was discussed from a fluid dynamics perspective. Flow geometrical changes, stagnation, and turbulence are risks in the local graft area because bypass surgery is essentially an artificial blood flow design that differs from the line of a native artery.…”
Section: Discussionmentioning
confidence: 99%
“…As mentioned above, external factors unrelated to the physical properties of Biotubes were considered because the stenosis of Biotubes occurred locally and was delayed. Simulations of saphenous vein graft stenosis after lower extremity bypass surgery using computational fluid dynamics [ 20 , 21 , 22 ] and a discussion of the angle and shape of the anastomosis [ 23 ] have been reported, and the phenomenon of IH in the vascular graft was discussed from a fluid dynamics perspective. Flow geometrical changes, stagnation, and turbulence are risks in the local graft area because bypass surgery is essentially an artificial blood flow design that differs from the line of a native artery.…”
Section: Discussionmentioning
confidence: 99%
“…184,185 Computational simulations in models with deformable walls suggest that neointimal growth is linked to regions with both low WSS and a high OSI, where such regions do not localize to any particular graft position and exhibit significant heterogeneity in the degree of stenosis. 186,187 However, simulations with larger patient cohorts using these methods are necessary to establish clear thresholds, as the degree of patient-to-patient variability limits the extrapolation of these results to inform clinical decisions.…”
Section: Vascular Graft Performance In the Surgical Settingmentioning
confidence: 99%
“…Abnormal blood flow in the graft has long been known as a key impairment factor that alters graft healing and overall patency ( Schwarz et al, 2021 ). Computational flow dynamics tools, with the inputs of graft location, diameter, length and/or compliance together with graft design, have been applied to predict not only flow conditions but also consequent remodeling of a graft ( Lu et al, 2014 ; Ramachandra et al, 2017 ; Donadoni et al, 2020 ). Variations in these physical characteristics of a graft delicately influence local fluid stresses in a blood vessel or a graft.…”
Section: Factors Impairing Healing or Regeneration Around Vascular Gr...mentioning
confidence: 99%