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CFD Helps Interventional Radiologists

 

By Dr. Thomas Frauenfelder, Institute of Diagnostic Radiology, University Hospital of Zürich, Zürich, Switzerland

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An abdominal aortic aneurysm (AAA) is a pathologic dilatation of the abdominal aorta reaching a diameter of more than 3cm. Two different types of AAA are known: the suprarenal and the infrarenal, situated above and below the renal artery, respectively. Nine percent of all people above the age of 65 suffer from an AAA. Clinical studies reveal a very high risk for rupture of the more frequent infrarenal AAAs when they are larger than 5cm. In clinical practice, a threshold of 5cm for the maximum transverse diameter of an AAA is typically used to recommend interventional treatment. Recent studies have found, however, that calculations of flow velocity and pressure using CFD seem to be more conclusive for assessing the risk of rupture than the 5cm rule.

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Pathlines (above) and wall pressure (below) suggest problematic conditions for an abdominal aortic aneurysm

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Today, endoluminal stent-graft implantations, which use fabric-covered stents, have gained increased acceptance as a less invasive alternative to the surgical treatment of AAAs, with fewer complications. This method requires a very accurate imaging standard before the procedure, since the stent-graft dimensions must be chosen prior to implantation. Most imaging techniques result in only static anatomical models, however. Thus, while they allow for optimal and precise stent planning, they do not take into consideration the effects of the temporally-varying flow and pressure that are always present in the vessel. To better address these concerns, FIDAP has been used to investigate the pressure and flow patterns in patient-specific models of AAAs before and after stent-graft implantation.

Three major steps are involved in the process: (1) data acquisition by CT angiography; (2) 3D solid model generation; and (3) numerical simulation. Once the CT data becomes available, Amira, visualization and volume modeling software from TGS, is used to construct the 3D geometry and delineate structures such as the vessel lumen, vessel wall, thrombus, calcifications, and post-operatively, the stent. A triangular surface mesh is generated and imported into GAMBIT, where a volumetric mesh is built and the properties of objects and boundaries are identified. A turbulent fluid-structure interaction (FSI) simulation is then run in FIDAP, where the blood is treated as a non-Newtonian fluid. The transient velocity profile at the inlet boundary is taken from Doppler-ultrasound measurements. Other values, like density, Young’s modulus, and Poisson coefficient, are based on material-specific data that have been adapted during test simulations.

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After deploying a stent-graft, pathlines through the artery show improved flow

Many important observations have been made from the FIDAP simulations to date. Prior to implantation, the flow patterns show major vortices in the concavities of the aneurysm, which, in the context of blood rheology, can explain the formation of intra-luminal thrombi. After stent-graft implantation, the flow velocity increases and the vortices disappear inside the stent. New eddies appear at the stent-end, however, which can lead to the need for a second intervention in some cases. The wall pressure is very high before implantation at locations where the blood hits the vessel. This is a possible explanation for the growth of the aneurysm and the formation of aortal kinking. After implantation, the high pressure areas are mostly found adjacent to the stent bifurcation. This is probably due to the funnel-like stent geometry. When the pressure drop is found to be asymmetric inside the stent limbs, asymmetric wall shear stresses can develop, which can lead to stent migration or rupture. After implantation, the increase in blood volume can be assessed in the leg that, prior to intervention, had a weaker blood flow. The reason for this increased flow is due to the more symmetric geometry of the stent. In the future, CFD, in combination with virtual stent placement, can help choose the optimal stent.


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