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Changes of Resection Goal After Using 3-Dimensional Printing Brain Tumor Model for Presurgical Planning.
- Source :
-
World neurosurgery [World Neurosurg] 2023 Jun 09. Date of Electronic Publication: 2023 Jun 09. - Publication Year :
- 2023
- Publisher :
- Ahead of Print
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Abstract
- Background: 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).<br />Methods: 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.<br />Results: 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.<br />Conclusions: A 3D-printed brain tumor model could be utilized in presurgical planning to effectively determine the EOR.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1878-8769
- Database :
- MEDLINE
- Journal :
- World neurosurgery
- Publication Type :
- Academic Journal
- Accession number :
- 37302706
- Full Text :
- https://doi.org/10.1016/j.wneu.2023.06.008