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Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting.
World Neurosurg 2016; 88:175-81WN

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 anatomic data and three-dimensional (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 used to develop a geometrically accurate cranium and vascular tree featuring 9 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 3D 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 potential to enhance current educational programs; assessments support the efficacy of the simulacrum.

CONCLUSIONS

The proposed aneurysm clipping simulator has the potential to 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 preparation.

Authors+Show Affiliations

School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA; Cardiac 3D Print Lab, Phoenix Children's Hospital, Phoenix, Arizona, USA. Electronic address: jrryan@asu.edu.Division of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona, USA.Division of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona, USA.School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA; Cardiac 3D Print Lab, Phoenix Children's Hospital, Phoenix, Arizona, USA; School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, Arizona, USA.

Pub Type(s)

Journal Article
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

26805698

Citation

Ryan, Justin R., et al. "Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting." World Neurosurgery, vol. 88, 2016, pp. 175-81.
Ryan JR, Almefty KK, Nakaji P, et al. Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. World Neurosurg. 2016;88:175-81.
Ryan, J. R., Almefty, K. K., Nakaji, P., & Frakes, D. H. (2016). Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. World Neurosurgery, 88, pp. 175-81. doi:10.1016/j.wneu.2015.12.102.
Ryan JR, et al. Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. World Neurosurg. 2016;88:175-81. PubMed PMID: 26805698.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. AU - Ryan,Justin R, AU - Almefty,Kaith K, AU - Nakaji,Peter, AU - Frakes,David H, Y1 - 2016/01/22/ PY - 2015/10/18/received PY - 2015/12/30/revised PY - 2015/12/30/accepted PY - 2016/1/26/entrez PY - 2016/1/26/pubmed PY - 2016/8/25/medline KW - 3D printing KW - Anatomical modeling KW - Aneurysms KW - Surgical simulation SP - 175 EP - 81 JF - World neurosurgery JO - World Neurosurg VL - 88 N2 - 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 anatomic data and three-dimensional (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 used to develop a geometrically accurate cranium and vascular tree featuring 9 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 3D 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 potential to enhance current educational programs; assessments support the efficacy of the simulacrum. CONCLUSIONS: The proposed aneurysm clipping simulator has the potential to 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 preparation. SN - 1878-8769 UR - https://www.unboundmedicine.com/medline/citation/26805698/Cerebral_Aneurysm_Clipping_Surgery_Simulation_Using_Patient_Specific_3D_Printing_and_Silicone_Casting_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1878-8750(16)00112-1 DB - PRIME DP - Unbound Medicine ER -