Abstract
This study describes a clinical case and the results of the application of additive manufacturing for surgical planning in the removal of cranial spheno-orbital meningioma. It is verified that the use of personalized anatomical models and cutting guides helps to manage the cranial anomalies approach. The application of additive manufacturing technology: Fused Deposition Modeling (FDM), as a low-cost alternative, enables the printing of the test anatomical model, which in turn favors the reduction of surgery time, as well the morbidity rate reduction. And the printing of the personalized cutting guide constitutes a valuable aid to the surgeon in terms of improving the intervention precision and reducing the invasive effect during the craniotomy. Also, the use of open-source software in medicine represents several advantages, among them the reduction of costs and greater flexibility. As part of the results, post-surgical follow-up is included as an instrument to verify the patient's recovery and the validity of the procedure.
Original language | English |
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Title of host publication | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350322972 |
ISBN (Print) | 9798350322972 |
DOIs | |
State | Published - 2023 |
Event | 2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 - Tenerife, Canary Islands, Spain Duration: 19 Jul 2023 → 21 Jul 2023 |
Publication series
Name | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
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Conference
Conference | 2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
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Country/Territory | Spain |
City | Tenerife, Canary Islands |
Period | 19/07/23 → 21/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- additive manufacturing
- custom anatomical model
- personalized medicine
- rapid prototyping
- surgical planning