Jamaludin, Mohd Redzuan and Lai, Khin Wee and Chuah, Joon Huang and Zaki, Muhammad Afiq and Hum, Yan Chai and Tee, Yee Kai and Mohd Salim, Maheza Irna and Saw, Lim Beng (2021) Transcranial electrical motor evoked potential in predicting positive functional outcome of patients after decompressive spine surgery: Review on challenges and recommendations towards Objective Interpretation. Behavioral Neurology, 2021. ISSN 0953-4180, DOI https://doi.org/10.1155/2021/2684855.
Full text not available from this repository.Abstract
Spine surgeries impose risk to the spine's surrounding anatomical and physiological structures especially the spinal cord and the nerve roots. Intraoperative neuromonitoring (IONM) is a technology developed to monitor the integrity of the spinal cord and the nerve roots via the surgery. Transcranial motor evoked potential (TcMEP) (one of the IONM modalities) is adopted to monitor the integrity of the motor pathway of the spinal cord and the motor nerve roots. Recent research suggested that the IONM is conducive as a prognostic tool towards the patient's functional outcome. This paper summarizes the researches of IONM being adopted as a prognostic tool. In addition, this paper highlights the problems associated with the signal parameters as the improvement criteria in the previous researches. Lastly, we review the challenges of TcMEP to achieve a prognostic tool focusing on the factors that could interfere with the generation of a stable TcMEP response. The final section will discuss recommendations for IONM technology to achieve an objective prognostic tool.
| Item Type: | Article |
|---|---|
| Funders: | FRGS, Ministry of Higher Education Malaysia, Universiti Malaya[FRGS/1/2018/TK04/UM/02/9], Universiti Tunku Abdul Rahman Research Fund[IPSR/RMC/UTARRF/2020-C1/H02] |
| Uncontrolled Keywords: | Nitrous-oxide;Propofol;Stimulation;Electrode;Improvement;Isoflurane:Parameters;Amplitude;Series |
| Subjects: | R Medicine R Medicine > RD Surgery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 18 Jul 2022 08:02 |
| Last Modified: | 18 Jul 2022 08:02 |
| URI: | http://eprints.um.edu.my/id/eprint/34093 |
Actions (login required)
 |
View Item |
