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Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery.
World Neurosurg 2016; 91:434-42WN

Abstract

OBJECTIVE

To use three-dimensional (3D) printed craniocerebral models to guide neurosurgery and design the best operative route preoperatively.

METHODS

Computed tomography, magnetic resonance imaging, computed tomography angiography, and functional magnetic resonance images of the patients were collected as needed, reconstructed to form multicolor 3D craniocerebral images, and printed to form solid 3D models. The hollow aneurysm model was printed with rubberlike material; craniocerebral models were printed with resin or gypsum.

RESULTS

The 3D printed hollow aneurysm model was highly representative of what was observed during the surgery. The model had realistic texture and elasticity and was used for preoperative simulation of aneurysm clipping for clip selection, which was the same as was used during the surgery. The craniocerebral aneurysm model clearly showed the spatial relation between the aneurysm and surrounding tissues, which can be used to select the best surgical approach in the preoperative simulation, to evaluate the necessity of drilling the anterior clinoid process, and to determine the feasibility of using a contralateral approach. The craniocerebral tumor and anatomic model showed the spatial relation between tumor and intracranial vasculatures, tractus pyramidalis, and functional areas, which was helpful 1) when selecting the optimal surgical approach to avoid damage to brain function, 2) for learning the functional anatomy of the craniocerebral structure, and 3) for preoperative selection of surgical spaces in the sellar region.

CONCLUSIONS

3D printing provides neurosurgeons with solid craniocerebral models that can be observed and operated on directly and effectively, which further improves the accuracy of neurosurgeries.

Authors+Show Affiliations

Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China. Electronic address: szlq006@163.com.Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China.Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China.Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China.Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China.Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China.Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China.Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China. Electronic address: taoxu@mail.tsinghua.edu.cn.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27132180

Citation

Lan, Qing, et al. "Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery." World Neurosurgery, vol. 91, 2016, pp. 434-42.
Lan Q, Chen A, Zhang T, et al. Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. World Neurosurg. 2016;91:434-42.
Lan, Q., Chen, A., Zhang, T., Li, G., Zhu, Q., Fan, X., ... Xu, T. (2016). Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. World Neurosurgery, 91, pp. 434-42. doi:10.1016/j.wneu.2016.04.069.
Lan Q, et al. Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. World Neurosurg. 2016;91:434-42. PubMed PMID: 27132180.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. AU - Lan,Qing, AU - Chen,Ailin, AU - Zhang,Tan, AU - Li,Guowei, AU - Zhu,Qing, AU - Fan,Xiaomin, AU - Ma,Cheng, AU - Xu,Tao, Y1 - 2016/04/27/ PY - 2016/03/18/received PY - 2016/04/17/revised PY - 2016/04/20/accepted PY - 2016/5/2/entrez PY - 2016/5/2/pubmed PY - 2017/10/4/medline KW - 3D printing KW - Neurosurgery KW - Precision surgery KW - Solid model KW - Surgical simulation SP - 434 EP - 42 JF - World neurosurgery JO - World Neurosurg VL - 91 N2 - OBJECTIVE: To use three-dimensional (3D) printed craniocerebral models to guide neurosurgery and design the best operative route preoperatively. METHODS: Computed tomography, magnetic resonance imaging, computed tomography angiography, and functional magnetic resonance images of the patients were collected as needed, reconstructed to form multicolor 3D craniocerebral images, and printed to form solid 3D models. The hollow aneurysm model was printed with rubberlike material; craniocerebral models were printed with resin or gypsum. RESULTS: The 3D printed hollow aneurysm model was highly representative of what was observed during the surgery. The model had realistic texture and elasticity and was used for preoperative simulation of aneurysm clipping for clip selection, which was the same as was used during the surgery. The craniocerebral aneurysm model clearly showed the spatial relation between the aneurysm and surrounding tissues, which can be used to select the best surgical approach in the preoperative simulation, to evaluate the necessity of drilling the anterior clinoid process, and to determine the feasibility of using a contralateral approach. The craniocerebral tumor and anatomic model showed the spatial relation between tumor and intracranial vasculatures, tractus pyramidalis, and functional areas, which was helpful 1) when selecting the optimal surgical approach to avoid damage to brain function, 2) for learning the functional anatomy of the craniocerebral structure, and 3) for preoperative selection of surgical spaces in the sellar region. CONCLUSIONS: 3D printing provides neurosurgeons with solid craniocerebral models that can be observed and operated on directly and effectively, which further improves the accuracy of neurosurgeries. SN - 1878-8769 UR - https://www.unboundmedicine.com/medline/citation/27132180/Development_of_Three_Dimensional_Printed_Craniocerebral_Models_for_Simulated_Neurosurgery_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1878-8750(16)30196-6 DB - PRIME DP - Unbound Medicine ER -