3D Printed Aortic Dissection Hemodynamic Models
Collaborators: Stanford Radiology
Aortic dissection is a life-threatening condition where blood creates a tear in the aortic wall, entering and separating the layers of the aortic wall and creating a secondary channel known as the false lumen. Blood flow between the true and false lumens is heavily influenced by tears within the dissection flap, but the relationship between tear size, blood flow, and pressure changes remains difficult to evaluate in patients. Standard imaging can show anatomy, but understanding the complex hemodynamics that contribute to false lumen pressurization, vessel remodeling, and long-term risk remains challenging.
This study investigated how entry and exit tear size affect blood flow and pressure dynamics in a Type B aortic dissection. Researchers created models based on actual patient imaging and compared 4D-flow MRI measurements with fluid-structure interaction simulations to evaluate how changes in tear geometry altered true and false lumen flow patterns, pressure gradients, and vessel behavior. By combining controlled physical experiments with computational modeling, the study aimed to better understand the hemodynamic factors associated with disease progression and treatment plannin
Publication Link: Nature
Figure A: 3D rendering of the patient-specific aortic dissection model used for multi-material 3D printing and hemodynamic flow experiments.
Figure B: 3D aortic dissection models showing tear modifications and analysis regions used for flow imaging and hemodynamic simulation experiments.
The 3DQ Lab contributed design modifications and 3D printing workflows used to produce the patient-specific aortic models for the experimental setup. This included adjusting model geometry to support multi-material printing, allowing stiffer connector regions and more compliant aortic regions to be fabricated within the same assembly to better approximate physiologic vessel behavior. The lab also performed the 3D printing and applied proprietary coating methods to strengthen the models for repeated experimental use.
The study demonstrated strong agreement between 4D-flow MRI and computational simulations, while also showing that tear size significantly altered false lumen flow and pressurization. These findings help improve understanding of how aortic dissection morphology influences hemodynamics and support future work involving patient-specific modeling, risk prediction, treatment planning, and advanced simulation-based cardiovascular research. This work was published in Scientific Reports, a Nature Portfolio journal.
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