Methods for Producing Luminal Cerebrovascular 3D Models Suitable for Preoperative Simulation of Neuroendovascular Therapy

Abstract

Objective: We report a method for creating a cerebrovascular lumen model that avoids deformation of the original normal vascular structures by its own weight and allows vessel shift.

Method: A cerebrovascular model of a 61-year-old woman's anterior communicating artery aneurysm was created by using 3D editing software and an optical 3D printer, with the vessel wall changed in steps from 0.5 to 1.5 mm.

Result: Vessel shift was possible by catheter manipulation, overcoming fragility and deformation of the vascular structure due to its own weight.

Conclusion: By outputting appropriate 3D vessel data and editing with open software, it is possible to create a cerebrovascular lumen model that can shift vessels under its own weight, which may be useful for preoperative training of endovascular treatment.