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Program Information

Evaluation of Endovascular Procedures Using Precise Patient Specific Phantoms Created Using Additive Manufacturing

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M Russ

M Russ*, G Iacobucci , R Wood , R O'Hara , S Rudin , C Ionita , University at Buffalo, Buffalo, New York

Presentations

SU-C-18C-5 Sunday 1:00PM - 1:55PM Room: 18C

Purpose:The development of patient specific models for endovascular procedures using additive manufacturing.

Methods: The work to be presented is composed of two parts: manufacturing and testing of patient-specific phantoms. Phantom manufacturing began with acquisition of 3D patient data and segmentation for the generation of a printable STL file. The models were printed using a Polyjet printer, Objet Eden260V. Once printed, the phantoms were cleaned of support material, and tested for geometric accuracy as compared to the original patient specific data. Imaging validation using x-ray angiography and qualitative evaluation of mechanical properties were also performed during an endovascular image-guided intervention. Several iterations of phantoms have been printed and tested, and optimal design parameters have been determined for a favorable manufactured output.

Results: The most challenging aspect of phantom manufacturing, as experienced in both simple and complex phantoms, is the removal of support material. Cleaning support material from inside of vessels can be mechanically difficult due to tortuous designs, and must be performed delicately to prevent wall rupture. Phantoms required NaOH baths and high-pressure washing to eliminate all support materials. Phantom accuracy testing showed size variations of 120μm, a very good agreement with the original design. Interventionists experienced similar back pressure from phantoms when testing mechanical behavior in simulated clinical procedures.

Conclusion: This process can serve as a viable tool for procedures and devices, and present unique learning opportunities for the endovascular field as a whole.

Funding Support, Disclosures, and Conflict of Interest: Supported by NIH Grant: 2R01EB002873 and an equipment grant from Toshiba Medical Systems Corporation


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