ArticleCureus2025
Rapid Surgeon-Led 3D Printing of Artificial Intelligence-Assisted Cylindrical Templates for Visceral Vessel Fenestration in Physician-Modified Endografts.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.