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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/59249
Title: Endonasal endoscopic transsphenoidal approach robot prototype: A cadaveric trial
Authors: Sorayouth Chumnanvej
Branesh M. Pillai
Suwiphat Chalongwongse
Jackrit Suthakorn
Faculty of Medicine, Ramathibodi Hospital, Mahidol University
Mahidol University
Keywords: Medicine
Issue Date: 1-Jan-2020
Citation: Asian Journal of Surgery. (2020)
Abstract: © 2020 Background: The Endonasal Endoscopic Transsphenoidal Surgery (EETS) is a minimally invasive procedure to approach and remove pituitary tumors and other sellar lesions. The process causes less pain, faster recovery, and provides further minimal invasive access in critical cases. However, a slight deviation of tools from the target area can be fatal to the patients. The aim of this study is to design and develop a prototype robot to demonstrate neurosurgical robot-assisted EET approach. Methods: The effectiveness of a prototype robot in executing a minimally invasive EET surgery was studied in 6 cadavers. The robot was associated with a multi-information integrated technique for surgery including QR code tracking. The robot was controlled and driven by the neurosurgeon. Results: The standard procedure of EET was followed and the robot carried out the first stage of EET under the supervision of neurosurgeon. Finally, the sellar was reached by the neurosurgeon. The result was determined by qualitative analysis and was confirmed by the neurosurgeon. The time for the entire EET surgical procedure showed marked reduction compared to the traditional EET approach. Conclusion: The robot design was found to be technically feasible and hence can be used for assisting the EET procedure. The robot used was able to assist the neurosurgeon correctly to approach the sinus.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/59249
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091070963&origin=inward
ISSN: 02193108
10159584
Appears in Collections:Scopus 2020

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