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Proceedings Paper

3D printed abdominal aortic aneurysm phantom for image guided surgical planning with a patient specific fenestrated endovascular graft system
Author(s): Karen M. Meess; Richard L. Izzo; Maciej L. Dryjski; Richard E. Curl; Linda M. Harris; Michael Springer; Adnan H. Siddiqui; Stephen Rudin; Ciprian N. Ionita
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Paper Abstract

Following new trends in precision medicine, Juxatarenal Abdominal Aortic Aneurysm (JAAA) treatment has been enabled by using patient-specific fenestrated endovascular grafts. The X-ray guided procedure requires precise orientation of multiple modular endografts within the arteries confirmed via radiopaque markers. Patient-specific 3D printed phantoms could familiarize physicians with complex procedures and new devices in a risk-free simulation environment to avoid periprocedural complications and improve training. Using the Vascular Modeling Toolkit (VMTK), 3D Data from a CTA imaging of a patient scheduled for Fenestrated EndoVascular Aortic Repair (FEVAR) was segmented to isolate the aortic lumen, thrombus, and calcifications. A stereolithographic mesh (STL) was generated and then modified in Autodesk MeshMixer for fabrication via a Stratasys Eden 260 printer in a flexible photopolymer to simulate arterial compliance. Fluoroscopic guided simulation of the patient-specific FEVAR procedure was performed by interventionists using all demonstration endografts and accessory devices. Analysis compared treatment strategy between the planned procedure, the simulation procedure, and the patient procedure using a derived scoring scheme. Results: With training on the patient-specific 3D printed AAA phantom, the clinical team optimized their procedural strategy. Anatomical landmarks and all devices were visible under x-ray during the simulation mimicking the clinical environment. The actual patient procedure went without complications. Conclusions: With advances in 3D printing, fabrication of patient specific AAA phantoms is possible. Simulation with 3D printed phantoms shows potential to inform clinical interventional procedures in addition to CTA diagnostic imaging.

Paper Details

Date Published: 13 March 2017
PDF: 14 pages
Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380P (13 March 2017); doi: 10.1117/12.2253902
Show Author Affiliations
Karen M. Meess, The Jacobs Institute, Inc. (United States)
CUBRC Inc. (United States)
Univ. at Buffalo (United States)
Richard L. Izzo, The Jacobs Institute, Inc. (United States)
Univ. at Buffalo (United States)
Toshiba Stroke and Vascular Research Ctr. (United States)
Maciej L. Dryjski, Univ. at Buffalo (United States)
Richard E. Curl, Univ. at Buffalo (United States)
Linda M. Harris, Univ. at Buffalo (United States)
Michael Springer, The Jacobs Institute, Inc. (United States)
Adnan H. Siddiqui, The Jacobs Institute, Inc. (United States)
Toshiba Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine and Biomedical Sciences (United States)
Stephen Rudin, Univ. at Buffalo (United States)
Toshiba Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine and Biomedical Sciences (United States)
Ciprian N. Ionita, Univ. at Buffalo (United States)
Toshiba Stroke and Vascular Research Ctr. (United States)


Published in SPIE Proceedings Vol. 10138:
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
Tessa S. Cook; Jianguo Zhang, Editor(s)

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