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Changes of Resection Goal After Using 3-Dimensional Printing Brain Tumor Model for Presurgical Planning
Conventional 2-Dimensional magnetic resonance imaging-based neuronavigation systems can improve the maximal safe resection in brain tumor surgery but can be unintuitive. A 3-Dimensional (3D)-printed brain tumor model allows for a more intuitive and stereoscopic understanding of brain tumors and adja...
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Published in: | World neurosurgery 2023-09, Vol.177, p.e153-e160 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Conventional 2-Dimensional magnetic resonance imaging-based neuronavigation systems can improve the maximal safe resection in brain tumor surgery but can be unintuitive. A 3-Dimensional (3D)-printed brain tumor model allows for a more intuitive and stereoscopic understanding of brain tumors and adjacent neurovascular structures. This study aimed to identify the clinical efficacy of a 3D-printed brain tumor model in presurgical planning by focusing on differences in the extent of resection (EOR).
Thirty two neurosurgeons (14 faculty members, 11 fellows, 7 residents) randomly selected the two 3D-printed brain tumor models from the 10 manufactured models and performed presurgical planning following a standardized questionnaire. To compare the 2-Dimensional magnetic resonance imaging-based planning results with the 3D-printed model-based planning results, we analyzed the changing patterns and characteristics of the EOR.
Of 64 randomly generated cases, the resection goal changed in 12 cases (18.8%). When the tumor was located intra-axially, the surgical posture required a prone position, and when the neurosurgeon was dexterous in surgery, there was a higher rate of EOR changes. 3D-printed models 2, 4, and 10, which all represented tumors in the posterior of the brain, had high rates of changing EOR.
A 3D-printed brain tumor model could be utilized in presurgical planning to effectively determine the EOR. |
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ISSN: | 1878-8750 1878-8769 |
DOI: | 10.1016/j.wneu.2023.06.008 |