Share this

Article Facebook

Twitter

Email You are free to share this article under the Attribution 4.0 International license. University University at Buffalo

Engineers have used high-performance computing to examine the best way to treat an aneurysm.

To reduce blood flow into aneurysms, surgeons often insert a flow diverter—tiny tubes made of weaved metal, like stents—across the opening. The reduced blood flow into the aneurysm minimizes the risk of a rupture, researchers say.

But, if the opening, or neck, of an aneurysm is large, surgeons will sometimes overlap two diverters, to increase the density of the mesh over the opening. Another technique is to compress the diverter to increase the mesh density and block more blood flow.

“When doctors see the simulated blood flow in our models, they’re able to visualize it.”

A computational study published in the American Journal of Neuroradiology shows the best option is the single, compressed diverter—provided it produces a mesh denser than the two overlapped diverters, and that it covers at least half of the aneurysm opening.

“When doctors see the simulated blood flow in our models, they’re able to visualize it. They see that they need to put more of the dense mesh here or there to diffuse the jets (of blood), because the jets are dangerous,” says lead author Hui Meng, a mechanical engineering professor at the University at Buffalo.

Working with the university’s supercomputing facility, the Center for Computational Research, Robert Damiano and Nikhil Paliwal, both PhD candidates in Meng’s lab, used virtual models of three types of aneurysms—fusiform (balloons out on all sides), and medium and large saccular (balloons on one side)—and applied engineering principles to model the pressure and speed of blood flowing through the vessels.

The engineers modeled three different diverter treatment methods—single non-compacted, two overlapped, and single compacted, and ran tests to determine how they would affect blood flow in and out of the aneurysm using computational fluid dynamics.

“We used equations from fluid mechanics to model the blood flow, and we used structural mechanics to model the devices,” Damiano says. “We’re working with partial differential equations that are complex and typically unsolvable by hand.”

These equations are converted to millions of algebraic equations and are solved using the supercomputer. The very small size of the mesh added to the need for massive computing power.

“The diverter mesh wires are 30 microns in diameter,” Paliwal says. “To accurately capture the physics, we needed to have a maximum of 10 to 15 micron grid sizes. That’s why it is computationally very expensive.”

The models showed that compressing a diverter produced a dense mesh that covered 57 percent of a fusiform-shaped aneurysm. That proved more effective than overlapping two diverters.

The compacted diverter was less effective in saccular aneurysms. As diverters are compressed, they become wider and bump into the sides of the vessel, so they could not be compressed enough to cover a small opening of an aneurysm. Compression was more effective in a large necked saccular aneurysm, producing a dense mesh that covered 47 percent of the opening.

Because a porous scaffold is needed to allow cell and tissue growth around the neck of the aneurysm, complete coverage using a solid diverter isn’t the best option, Paliwal says. Further, solid diverters could risk blocking off smaller arteries.

The team next would like to look back over hundreds of previous cases, to determine how blood flow was affected by the use of diverters. The idea is to build a database so that more definitive conclusions can be drawn.

“We’re going to look at and model previous cases, and hopefully we’ll have a way to determine the best treatment to cause the best outcome for new aneurysm cases,” Damiano says.

Source: University at Buffalo