Patient-specific three-dimensional printing of cerebral vasculature from digital subtraction angiography for aneurysm surgery: A practical workflow and preliminary clinical experience
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Department of Neurosurgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland, University Clinical Center named after Prof. Kornel Gibiński
Corresponding author
Marcin Setlak
Klinika Neurochirurgii, Wydział Nauk Medycznych w Katowicach ŚUM, ul. Medyków 14, 40-752 Katowice
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ABSTRACT
Introduction:
Patient-specific three-dimensional (3D) printing has become an increasingly useful adjunct in neurosurgery, particularly in situations where precise understanding of spatial vascular anatomy is important for treatment planning. In intracranial aneurysm surgery, physical models may complement standard imaging by providing a tangible representation of the aneurysm and its relationship to the parent vessel and adjacent branches.
Material and methods:
Source imaging data were obtained from routine digital subtraction angiography with rotational acquisition and 3D reconstruction. Selected datasets were processed in 3D Slicer, where vascular segmentation, removal of nonessential distal branches, island removal, surface smoothing, and STL export were performed. The final models were prepared for printing in Bambu Studio and printed on a Bambu Lab A1 mini printer using PLA filament and tree supports optimized for thin vascular structures.
Results:
The described workflow enabled generation of patient-specific physical vascular models reproducing the aneurysm and the selected parent vessel anatomy relevant to surgical planning. The models were found to be useful as a supplementary aid in preoperative anatomical assessment, improving spatial understanding of aneurysm configuration and branch relationships within the selected vascular region of interest.
Conclusions:
Patient-specific 3D printing of cerebral vasculature from digital subtraction angiography is feasible and can be implemented in routine practice using accessible software and desktop printing tools. Such models may serve as a useful adjunct in preoperative assessment, team discussion, and surgical education. Further evaluation in larger clinical series is warranted.
Use of AI tools statement: ChatGPT (OpenAI) was used as an auxiliary tool for language editing and stylistic improvement of the manuscript text. All scientific content, literature selection, interpretation of data, and final approval of the manuscript were performed by the author.
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