Author/Authors :
Ionita, Ciprian N. Department of Biomedical Engineering - University at Buffalo - Buffalo - NY, USA , Sommer, Kelsey N. Department of Biomedical Engineering - University at Buffalo - Buffalo - NY, USA , Rava, Ryan A. Department of Biomedical Engineering - University at Buffalo - Buffalo - NY, USA , Iyer, Vijay University at Buffalo Cardiology - University at Buffalo Jacobs School of Medicine - Buffalo - NY, USA , Kumamaru, Kanako Kunishima Juntendo University Department of Radiology - Tokyo, Japan
Abstract :
Three-dimensional printing (3DP) offers a unique opportunity to build flexible vascular patient-specific
coronary models for device testing, treatment planning, and physiological simulations. By optimizing the 3DP
design to replicate the geometrical and mechanical properties of healthy and diseased arteries, we may improve
the relevance of using such models to simulate the hemodynamics of coronary disease. We developed a method
to build 3DP patient specific coronary phantoms, which maintain a significant part of the coronary tree, while
preserving geometrical accuracy of the atherosclerotic plaques and allows for an adjustable hydraulic resistance.
Methods: Coronary computed tomography angiography (CCTA) data was used within Vitrea (Vital Images,
Minnetonka, MN) cardiac analysis application for automatic segmentation of the aortic root, Left Anterior
Descending (LAD), Left Circumflex (LCX), Right Coronary Artery (RCA), and calcifications. Stereolithographic (STL) files
of the vasculature and calcium were imported into Autodesk Meshmixer for 3D model optimization. A base with
three chambers was built and interfaced with the phantom to allow fluid collection and independent distal
resistance adjustment of the RCA, LAD and LCX and branching arteries. For the 3DP we used Agilus for the arterial
wall, VeroClear for the base and a Vero blend for the calcifications, respectively. Each chamber outlet allowed
interface with catheters of varying lengths and diameters for simulation of hydraulic resistance of both normal and
hyperemic coronary flow conditions. To demonstrate the manufacturing approach appropriateness, models were
tested in flow experiments.
Results: Models were used successfully in flow experiments to simulate normal and hyperemic flow conditions. The
inherent mean resistance of the chamber for the LAD, LCX, and RCA, were 1671, 1820, and 591 (dynes ∙sec/ cm5),
respectively. This was negligible when compared with estimates in humans, with the chamber resistance equating
to 0.65–5.86%, 1.23–6.86%, and 0.05–1.67% of the coronary resistance for the LAD, LCX, and RCA, respectively at
varying flow rates and activity states. Therefore, the chamber served as a means to simulate the compliance of the
distal coronary trees and to allow facile coupling with a set of known resistance catheters to simulate various
physical activity levels.Conclusions: We have developed a method to create complex 3D printed patient specific coronary models
derived from CCTA, which allow adjustable distal capillary bed resistances. This manufacturing approach permits
comprehensive coronary model development which may be used for physiologically relevant flow simulations.
Keywords :
Flow resistance , Coronary CTA , Coronary artery disease , 3D printing