Reverse cannulation method as a strategy for aortic aneurysm surgery: A computational fluid dynamics study on minimizing neurological risks.

OBJECTIVES: To evaluate the blood flow velocity and wall shear stress in total arch replacement with a "shaggy" aorta, using computational fluid dynamics, and determine the optimal cannulation method. METHODS: A patient-specific aortic arch aneurysm model was constructed by using computed tomography scans. Three cannulas were assessed, as follows: dispersive with a steep angle, dispersive with a gentle angle, and the endo-hole type. The cannula tips were oriented toward the aortic arch (standard direction) and aortic root (reversed direction), with an ideal angle (base orientation: 0°), tip orientations rotated 20° clockwise and counterclockwise from the base orientation. The variables of interest included the blood flow velocity, streamlines, wall shear stress, and flow distribution. RESULTS: The standard direction resulted in variable accelerated flow and wall shear stress locations based on cannula tip orientation, leading to unstable cerebral branch flow. Minor deviation in the cannula tip angle and cannula type led to significant alterations in flow distribution. Conversely, in the reverse direction for all cannulas, no accelerated blood flow was observed in the proximal aortic arch or cerebral vessel ostia even with angular adjustments, helping maintain a stable cerebral branch flow. Minimal variation in blood flow distribution was observed across all cannula types and angles. CONCLUSIONS: Our simulations indicate that, irrespective of the cannula type or orientation, directing the cannula tip toward the aortic root (reversed direction) prevents accelerated blood flow in critical areas, suggesting its potential as an optimal approach for aortic arch surgery in "shaggy" aorta cases.

Computational fluid dynamics simulate optimal design of segmental arteries reattachment: Influence of blood flow stagnation.

Objectives: This study aimed to simulate blood flow stagnation using computational fluid dynamics and to clarify the optimal design of segmental artery reattachment for thoracoabdominal aortic repair. Methods: Blood flow stagnation, defined by low-velocity volume or area of the segmental artery, was simulated by a 3-dimensional model emulating the systolic phase. Four groups were evaluated: direct anastomosis, graft interposition, loop-graft, and end graft. Based on contemporary clinical studies, direct anastomosis can provide a superior patency rate than other reattachment methods. We hypothesized that stagnation of the blood flow is negatively associated with patency rates. Over time, velocity changes were evaluated. Results: The direct anastomosis method led to the least blood flow stagnation, whilst the end-graft reattachment method resulted in worse blood flow stagnation. The loop-graft method was comparatively during late systole, which was also influenced by configuration of the side branch. Graft interposition using 20 mm showed a low-velocity area in the distal part of the side graft. When comparing length and diameter of an interposed graft, shorter and smaller branches resulted in less blood flow stagnation. Conclusions: In our simulation, direct anastomosis of the segmental artery resulted in the most efficient design in terms of blood flow stagnation. A shorter (<20 mm) and smaller (<10 mm) branch should be used for graft interposition. Loop-graft is an attractive alternative to direct anastomosis; however, its blood flow pattern can be influenced.