1
|
Intraoperative Monitoring During Neurosurgical Procedures and Patient Outcomes. CURRENT ANESTHESIOLOGY REPORTS 2022. [DOI: 10.1007/s40140-022-00542-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
2
|
Machine Learning Application of Transcranial Motor-Evoked Potential to Predict Positive Functional Outcomes of Patients. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:2801663. [PMID: 35634043 PMCID: PMC9142308 DOI: 10.1155/2022/2801663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 11/23/2022]
Abstract
Intraoperative neuromonitoring (IONM) has been used to help monitor the integrity of the nervous system during spine surgery. Transcranial motor-evoked potential (TcMEP) has been used lately for lower lumbar surgery to prevent nerve root injuries and also to predict positive functional outcomes of patients. There were a number of studies that proved that the TcMEP signal's improvement is significant towards positive functional outcomes of patients. In this paper, we explored the possibilities of using a machine learning approach to TcMEP signal to predict positive functional outcomes of patients. With 55 patients who underwent various types of lumbar surgeries, the data were divided into 70 : 30 and 80 : 20 ratios for training and testing of the machine learning models. The highest sensitivity and specificity were achieved by Fine KNN of 80 : 20 ratio with 87.5% and 33.33%, respectively. In the meantime, we also tested the existing improvement criteria presented in the literature, and 50% of TcMEP improvement criteria achieved 83.33% sensitivity and 75% specificity. But the rigidness of this threshold method proved unreliable in this study when different datasets were used as the sensitivity and specificity dropped. The proposed method by using machine learning has more room to advance with a larger dataset and various signals' features to choose from.
Collapse
|
3
|
Akbari KK, Badikillaya V, Venkatesan M, Hegde SK. Do Intraoperative Neurophysiological Changes During Decompressive Surgery for Cervical Myeloradiculopathy Affect Functional Outcome? A Prospective Study. Global Spine J 2022; 12:366-372. [PMID: 32959684 PMCID: PMC9121159 DOI: 10.1177/2192568220951779] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
STUDY DESIGN Prospective cohort. OBJECTIVE To investigate whether intraoperative neuromonitoring (IONM) positive changes affect functional outcome after surgical intervention for myeloradiculopathy secondary to cervical compressive pathology (cervical compressive myelopathy). METHODS Twenty-eight patients who underwent cervical spine surgery with IONM for compressive myeloradiculopathy were enrolled. During surgery motor-evoked potential (MEP) and somatosensory evoked potential (SSEP) at baseline and before and after decompression were documented. A decrease in latency >10% or an increase in amplitude >50% was regarded as a "positive changes." Patients were divided into subgroups based on IONM changes: group A (those with positive changes) and group B (those with no change or deterioration). Nurick grade and modified Japanese Orthopaedic Association (mJOA) score were evaluated before and after surgery. RESULTS Nine patients (32.1%) showed improvement in MEP. The mean preoperative Nurick grade and mJOA score of group A and B were (2.55 ± 0.83 and 11.11 ± 1.65) and (2.47 ± 0.7 and 11.32 ± 1.24), respectively. The mean postoperative Nurick grade of groups A and B at 6 months was 1.55 ± 0.74 and 1.63 ± 0.46, respectively, and this difference was not significant. The mean postoperative mJOA score of groups A and B at 6 months was 14.3 ± 1.03 and 12.9 ± 0.98, respectively, and this difference was statistically significant (P = .011). Spearman correlation coefficient showed significant positive correlation between the IONM change and the mJOA score at 6 months postoperatively (r = 0.47; P = .01). CONCLUSION Our study shows that impact of positive changes in MEP during IONM reflect in functional improvement at 6 months postoperatively in cervical compressive myelopathy patients.
Collapse
Affiliation(s)
- Keyur Kantilal Akbari
- Apollo Hospital, Chennai, India,Keyur Kantilal Akbari, OPD No. 104, Counter Number 9, Apollo Hospitals, Greams Lane, Chennai 600006, India.
| | | | | | | |
Collapse
|
4
|
Jamaludin MR, Lai KW, Chuah JH, Zaki MA, Hum YC, Tee YK, Mohd Salim MI, Saw LB. Transcranial Electrical Motor Evoked Potential in Predicting Positive Functional Outcome of Patients after Decompressive Spine Surgery: Review on Challenges and Recommendations towards Objective Interpretation. Behav Neurol 2021; 2021:2684855. [PMID: 34777631 PMCID: PMC8580690 DOI: 10.1155/2021/2684855] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/18/2021] [Indexed: 11/18/2022] Open
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.
Collapse
Affiliation(s)
- Mohd Redzuan Jamaludin
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Khin Wee Lai
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Joon Huang Chuah
- Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Muhammad Afiq Zaki
- Center of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi Mara Selangor, Puncak Alam Campus, 42300 Bandar Puncak Alam, Selangor Darul Ehsan, Malaysia
| | - Yan Chai Hum
- Centre for Healthcare Science & Technology, Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia
| | - Yee Kai Tee
- Centre for Healthcare Science & Technology, Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia
| | - Maheza Irna Mohd Salim
- Bioinspired Device and Tissue Engineering Research Group, School of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia
| | - Lim Beng Saw
- Department of Orthopaedic Surgery, Sunway Medical Centre, Malaysia
| |
Collapse
|
5
|
Zileli M, Crostelli M, Grimaldi M, Mazza O, Anania C, Fornari M, Costa F. Natural Course and Diagnosis of Lumbar Spinal Stenosis: WFNS Spine Committee Recommendations. World Neurosurg X 2020; 7:100073. [PMID: 32613187 PMCID: PMC7322797 DOI: 10.1016/j.wnsx.2020.100073] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 02/13/2020] [Indexed: 11/26/2022] Open
Abstract
Lumbar spinal stenosis (LSS) is defined as a degenerative disorder showing a narrowing of the spinal canal. The diagnosis is straightforward in cases with typical neurogenic claudication symptoms and unequivocal imaging findings. However, not all patients present with typical symptoms, and there is obviously no correlation between the severity of stenosis and clinical complaint. The radiologic diagnosis of LSS is widely discussed in the literature. The best diagnostic test for the diagnosis of LSS is magnetic resonance imaging (MRI). However, canal diameter measurements have not gained much consensus from radiologists, whereas qualitative measures, such as cerebrospinal fluid space obliteration, have achieved greater consensus. Instability can best be defined by standing lateral radiograms and flexion-extension radiograms. For cases showing typical neurogenic claudication symptoms and unequivocal imaging findings, the diagnosis is straightforward. However, not all patients present with typical symptoms, and there is obviously no correlation between the severity of stenosis (computed tomography and MRI) and clinical complaint. In fact, recent MRI studies have shown that mild-to-moderate stenosis can also be found in asymptomatic individuals. Routine electrophysiological tests such as lower extremity electromyography, nerve conduction studies, F-wave, and H-reflex are not helpful in the diagnosis and outcome prediction of LSS. The electrophysiological recordings are complementary to the neurologic examination and can provide confirmatory information in less obvious clinical complaints. However, in the absence of reliable evidence, imaging studies should be considered as a first-line diagnostic test in the diagnosis of degenerative LSS.
Collapse
Key Words
- CT, Computed tomography
- Canal diameter
- Central stenosis
- DSEP, Dermatomal somatosensory evoked potential
- EMG, Electromyography
- Electrophysiological recordings
- Foraminal stenosis
- IONM, Intraoperative neurophysiological monitoring
- Intraoperative neurophysiological monitoring
- LS, Likert scale
- LSS, Lumbar spinal stenosis
- Lumbar spinal stenosis
- MEP, Motor evoked potential
- MRI, Magnetic resonance imaging
- Motor evoked potentials
- NASS, North American Spine Society
- Natural course
- SSEP, Somatosensory evoked potential
- Somatosensory evoked potentials
- VAS, Visual analog scale
- WFNS, World Federation of Neurosurgical Societies
Collapse
Affiliation(s)
- Mehmet Zileli
- Neurosurgery Department, Ege University, Bornova, Izmir, Turkey
| | - Marco Crostelli
- Spine Surgery Unit, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | | | - Osvaldo Mazza
- Spine Surgery Unit, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Carla Anania
- Neurosurgery Department, Humanitas Clinical and Research Hospital, Milan, Italy
| | - Maurizio Fornari
- Neurosurgery Department, Humanitas Clinical and Research Hospital, Milan, Italy
| | - Francesco Costa
- Neurosurgery Department, Humanitas Clinical and Research Hospital, Milan, Italy
| |
Collapse
|
6
|
Nagarajan L, Ghosh S, Dillon D, Palumbo L, Woodland P, Thalayasingam P, Lethbridge M. Intraoperative neurophysiology monitoring in scoliosis surgery in children. Clin Neurophysiol Pract 2019; 4:11-17. [PMID: 30828671 PMCID: PMC6383123 DOI: 10.1016/j.cnp.2018.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 12/24/2018] [Accepted: 12/29/2018] [Indexed: 02/08/2023] Open
Abstract
Objective Intraoperative neurophysiology monitoring (INM) is thought to reduce the risk of postoperative neurological deficits in children undergoing scoliosis and spine deformity surgery. INM is being used increasingly despite conflicting opinions, varied results, non-standard alarm criteria and concern regarding cost effectiveness. In this paper we present our experience with INM in scoliosis and spine deformation surgery in children, propose alert criteria and preferred anaesthetics in clinical practice. Methods We retrospectively analysed our experience with INM in 56 children who had 61 scoliosis and spine deformity surgeries. Results INM was successfully undertaken with transcranial electrical motor evoked potentials (TcMEP) and somatosensory evoked potentials. There were no injuries due to INM. Four children had 5 alerts during 4 surgeries. A postoperative deficit was seen in one child only. No new postoperative deficits were seen in any child who did not have an alert during INM. Total intravenous anaesthesia was better for INM compared to inhalational anaesthetics. Conclusions INM is useful in scoliosis surgery; it is likely to mitigate the risk of new deficits following surgery. We recommend alert criteria for TcMEPs that include multiple facets - amplitude, stimulus paradigm, morphology. We recommend propofol and remifentanil, in preference to sevoflurane and remifentanil for anaesthesia during INM. Significance Our study adds to the literature supporting the role of INM in scoliosis surgery in children. We provide guidelines for alarm criteria in clinical practice and recommend the use of total intravenous anaesthesia as the preferred anaesthetic option.
Collapse
Affiliation(s)
- Lakshmi Nagarajan
- Children's Neuroscience Service, Dept. of Neurology, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia.,School of Medicine, University of Western Australia, Nedlands, WA 6009, Australia.,Telethon Kids Institute, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| | - Soumya Ghosh
- Children's Neuroscience Service, Dept. of Neurology, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA 6009, Australia
| | - David Dillon
- Dept of Orthopaedics, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| | - Linda Palumbo
- Children's Neuroscience Service, Dept. of Neurology, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| | - Peter Woodland
- Dept of Orthopaedics, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| | - Priya Thalayasingam
- Dept. of Anaesthetics, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| | - Martyn Lethbridge
- Dept. of Anaesthetics, Perth Children's Hospital, Hospital Avenue, Nedlands, WA 6009, Australia
| |
Collapse
|