Rapid Surgeon-Led 3D Printing of Artificial Intelligence-Assisted Cylindrical Templates for Visceral Vessel...

Endovascular aortic aneurysm repair (EVAR) of complex abdominal aortic aneurysms (AAAs) requires precise preoperative planning to ensure proper alignment of visceral fenestrations. However, commercial planning platforms remain costly and often inaccessible for many vascular centers. Low-cost, surgeon-driven digital workflows utilizing open-source software and desktop three-dimensional (3D) printing have become practical alternatives, allowing patient-specific planning without dependence on proprietary systems. In this report, we describe a reproducible digital workflow that combines open-source imaging software for centerline extraction, anatomical segmentation, and stereolithography (STL) model creation, along with artificial intelligence (AI)-assisted scripting to generate cylindrical fenestrated templates. The anatomical and cylindrical models were processed and printed on an affordable desktop fused-deposition modeling (FDM) printer using polylactic acid (PLA) filament. The anatomical reconstruction provided spatial orientation, while the cylindrical template served as an accurate guide for physician-modified endografts (PMEGs). A 78-year-old man with an infrarenal AAA and a prior failed EVAR underwent successful reintervention using this workflow. Fenestrations for the celiac trunk, superior mesenteric artery, and renal arteries were planned along the centerline, validated against the anatomical model, and accurately transferred to the endograft using the cylindrical stencil. Final angiography confirmed aneurysm exclusion and visceral branch patency. The cylindrical template took less than two hours to print and was sterilized with low-temperature plasma before intraoperative use. This case demonstrates that a fully open-source digital workflow, integrating centerline analysis, anatomical segmentation, STL generation, and AI-assisted modeling, can produce precise and reproducible intraoperative guides for PMEG planning. The process is quick, low-cost, and scalable, providing a viable alternative for centers lacking access to commercial planning software or custom-made devices.