Key result
Computational fluid dynamics and 4D flow-sensitive MRI showed a 7% average difference in flow and velocity parameters, revealing that half of the total volume flow enters the most proximal holes.
Why the study?
While pressure-flow curves are preferred to assess multi-staged femoral venous cannulas, little is known about their flow and velocity distribution.
Does computational fluid dynamics accurately determine flow and velocity distributions in a femoral venous cannula compared to 4D flow-sensitive MRI?
Does computational fluid dynamics accurately determine flow and velocity distributions in a femoral venous cannula compared to 4D flow-sensitive MRI?
Numerical simulation validated with 4D flow MRI is an effective tool to examine and potentially optimize flow and velocity distributions in femoral venous cannulas.
Answers are grounded in this paper and cite their sources.
In vitro cannula flow data may refine device design; leaves open whether patterns affect clinical outcomes in extracorporeal support.
Cannulas with multi-staged side holes are the method of choice for femoral cannulation in extracorporeal therapies today. A variety of differently designed products is available on the market. While the preferred tool for the performance assessment of such cannulas are pressure-flow curves, little is known about the flow and velocity distribution. Within this work flow and velocity patterns of a femoral venous cannula with multi-staged side holes were investigated. A mock circulation loop for cannula performance evaluation was built and reproduced using a computer-aided design system. With computational fluid dynamics, volume flows and fluid velocities were determined quantitatively and visually with hole-based precision. In order to ensure the correctness of the flow simulation, the results were subsequently validated by determining the same parameters with four-dimensional flow-sensitive magnetic resonance imaging. Measurement data and numerical solution differed 7% on average throughout the data set for the examined parameters. The highest inflow and velocity were detected at the most proximal holes, where half of the total volume flow enters the cannula. At every hole stage a Y-shaped inflow profile was detected, forming a centered stream in the middle of the cannula. Simultaneously, flow separation creates zones with significant lower flow velocities. Numerical simulation, validated with four-dimensional flow-sensitive magnetic resonance imaging, is a valuable tool to examine flow and velocity distributions of femoral venous cannulas with hole-based accuracy. Flow and velocity distribution in such cannulas are not ideal. Based on this work future cannulas can be effectively optimized.
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Rauh et al. (2020) studied Femoral cannulation in extracorporeal therapies. Computational fluid dynamics and 4D flow-sensitive magnetic resonance imaging was evaluated on Difference between measurement data and numerical solution for flow and velocity parameters. Computational fluid dynamics and 4D flow-sensitive MRI showed a 7% average difference in flow and velocity parameters, revealing that half of the total volume flow enters the most proximal holes.
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