Cerebral Aneurysm Clipping Surgery Simulation Using Patient-specific 3D Printing and Silicone Casting

Abstract Background Neurosurgery simulator development is growing as practitioners recognize the need for improved instructional and rehearsal platforms to improve procedural skills and patient care. In addition, changes in practice patterns have decreased the volume of specific cases, such as aneurysm clippings, which reduces the opportunity for operating room experience. Objective The authors developed a hands-on, dimensionally accurate model for aneurysm clipping using patient-derived anatomical data and 3D printing. Design of the model focused on reproducibility as well as adaptability to new patient geometry. Methods A modular, reproducible, and patient-derived medical simulacrum was developed for medical learners to practice aneurysmal clipping procedures. Various forms of 3D printing were utilized to develop a geometrically an accurate cranium and vascular tree featuring nine patient derived aneurysms. 3D printing in conjunction with elastomeric casting was leveraged to achieve a patient-derived brain model with tactile properties not yet available from commercial printing technology. An educational pilot study was performed to gauge simulation efficacy. Results Through the novel manufacturing process, a patient derived simulacrum was developed for neurovascular surgical simulation. A follow-up qualitative study suggests simulacrum potential to enhance current educational programs; assessments support the efficacy of the simulacrum. Conclusions The proposed aneurysm clipping simulator can improve learning experiences in surgical environment. 3D printing and elastomeric casting can produce patient-derived models for a dynamic learning environment that add value to surgical training and/or preparation.