| Literature DB >> 33476393 |
Marco Rossi1, Tommaso Sciortino1, Marco Conti Nibali1, Lorenzo Gay1, Luca Viganò1, Guglielmo Puglisi1,2, Antonella Leonetti1,2, Henrietta Howells2, Luca Fornia2, Gabriella Cerri2, Marco Riva1, Lorenzo Bello1.
Abstract
Resection of brain tumors involving motor areas and pathways requires the identification and preservation of various cortical and subcortical structures involved in motor control at the time of the procedure, in order to maintain the patient's full motor capacities. The use of brain mapping techniques has now been integrated into clinical practice for many years, as they help the surgeon to identify the neural structures involved in motor functions. A common definition of motor function, as well as knowledge of its neural organization, has been continuously evolving, underlining the need for implementing intraoperative strategies at the time of the procedure. Similarly, mapping strategies have been subjected to continuous changes, enhancing the likelihood of preservation of full motor capacities. As a general rule, the motor mapping strategy should be as flexible as possible and adapted strictly to the individual patient and clinical context of the tumor. In this work, we present an overview of current knowledge of motor organization, indications for motor mapping, available motor mapping, and monitoring strategies, as well as their advantages and limitations. The use of motor mapping improves resection and outcomes in patients harboring tumors involving motor areas and pathways, and should be considered the gold standard in the resection of this type of tumor. Congress of Neurological Surgeons 2021.Entities:
Keywords: Awake surgery; Brain tumors; Glioma; Monitoring techniques; Motor area tumors; Motor control; Motor mapping techniques; Oncological balance
Mesh:
Year: 2021 PMID: 33476393 PMCID: PMC7884143 DOI: 10.1093/neuros/nyaa359
Source DB: PubMed Journal: Neurosurgery ISSN: 0148-396X Impact factor: 4.654
List of Representative Studies on the Use of Motor Mapping for Resection of Tumor Involving Motor Pathways
| Paper | Year | Number of patients | Location | % total resection | Preoperative deficit | Early deficit | Permanent deficit | Awake/asleep (%) | LF/HF |
|---|---|---|---|---|---|---|---|---|---|
| Keles et al, 2004[ | 2004 | 294 | Motor pathways | n/a | 25.80% | 20.40% | 4.80% | Asleep | LF |
| Carrabba et al, 2007[ | 2007 | 146 | Motor pathways | 94.4% | n/a | 10.9%-59.3% | 3.5%-6.5% | Asleep | HF |
| Nossek et al, 2011[ | 2011 | 55 | Motor pathways | 71% | 49% | 16% | 12.7% | Asleep/awake | LF + HF |
| Zhu et al, 2012[ | 2012 | 58 | Motor pathways | 69% | 20.70% | n/a | n/a | Asleep | LF |
| Seidel et al, 2013[ | 2013 | 100 | Motor pathways | 71% | 44% | 30% | 5% | Asleep | HF |
| Shinoura et al, 2013[ | 2013 | 102 | Motor pathways | 53% | 68.6% | 41.10% | 7.80% | Awake | LF |
| Bello et al, 2014[ | 2014 | 591 | Motor pathways | 58.3%-84.2% | 12% | 59.5%-94.4% | 0%-75% | Asleep | HF + LF |
| Raabe et al, 2014[ | 2014 | 69 | Motor pathways | 68% | 37% | 33% | 3% | Asleep | HF |
| Schucht et al, 2014[ | 2014 | 72 | Motor pathways | 73% | 33% | 30% | 4% | Asleep | HF |
| Obermueller et al, 2015[ | 2015 | 171 | Motor pathways | 70.60% | 39.30% | 14% | 12% | Asleep | HF |
| Shiban et al, 2015[ | 2015 | 37 | Motor pathways | 75% | 32% | 14% | 0% | Asleep | HF |
| Shinoura et al, 2017[ | 2017 | 61 | Only M1 | 41% | 83.6 | 39.30% | 10.44% | asleep/awake/asleep | LF |
| Eseonu et al, 2017[ | 2017 | 58 | Motor pathways | 42%-62.9% | 56.80% | 38.7%-29.3% | 9.7%-11% | Alseep/awake | LF |
| Sanmillan et al, 2017[ | 2017 | 33 | Motor pathways | 93.9% | 33% | 18.20% | 0% | Asleep/awake | HF/LF |
| Zuev et al, 2017[ | 2017 | 65 | Motor pathways | 60% | 71% | 28% | 8% | Alseep/asleep-awake-asleep | HF |
| Plans et al, 2017[ | 2017 | 92 | Motor pathways | n/a | n/a | 24% | 16% | Asleep | HF |
| Han et al, 2018[ | 2018 | 702 | Motor pathways | n/a | 12.70% | 30% | 7% | Alseep/awake | LF |
| Magill et al, 2018[ | 2018 | 49 | M1 only | 50.90% | 7.50% | 60.40% | 37.70% | Alseep/awake | LF |
| Moiyadi et al, 2018[ | 2018 | 40 | Motor pathways | 70% | 30% | 25% | 0% | Asleep | HF |
| Rossi et al, 2018[ | 2018 | 120 | Motor pathways | Mean > 90% | 0% (Selected) | 15% | 0% | Asleep/awake | HF/LF |
| Rossi et al, 2019[ | 2019 | 102 | M1 only | 85% | 9.80% | 96% | 2% | Asleep | HF |
| Zelitzki et al, 2019[ | 2019 | 85 | Motor pathways | 41.2 | 24.70% | 21% | 10.60% | Alseep/awake | LF |
The name of the first author, the year of publication, the number of patients enrolled, the area studied (M1: yes, M1 and others: no), rate of total resection (EOR > 95%), percentage of reported preoperative, immediate postoperative, and permanent motor deficit, the prevalent anesthesia regiment, and the type of stimulation used are reported.
NA = not applicable.
Neurophysiological Properties of the Current Available Stimulation Paradigms, Most Used (and Recommended) Stimulation Intensity and Probes
| HF stimulation | LF stimulation | |
|---|---|---|
| Stimulation frequency | 250-500 Hz | 50-60 Hz |
| Pulse form | Monophasic | Mono- or biphasic |
| Pulse direction | ||
| CORTICAL | Anodal/positive | n/a |
| SUBCORTICAL | Cathodal/negative | |
| Duration of individual pulse phase | 300-500 μs (standard) Up to 800 μs (advanced) | 500 μs |
| Number of pulses | 5 (standard) 2-9 (advanced) | n/a |
| Common current intensity range and probes | ||
| ASLEEP | 5-15 mA | 7-16 mA |
| Monopolar/Bipolara probe | Bipolar probe (always) | |
| AWAKE | 2-7 mA | 2-7 mA |
| Monopolar/Bipolara probe | Bipolar probe (always) |
aBipolar probe with HF increases stimulus focality but requires increase in current intensity.
NA = not applicable.
Current Indications of Available Stimulation Paradigms According to the Tumor Location (and Circuits) To Be Investigated and Anesthesia Regimen Used
| Awake condition | |||||
|---|---|---|---|---|---|
| Asleep condition | Resting condition | During a motor task execution | |||
| Premotor and parietal tumors | |||||
| HF | LF | HF | LF | HF | LF |
| Effective limited risk of negativemapping | To consider risk of negative mapping | Efficacy and risk as for asleep condition | Efficacy and risk as for asleep condition | Effective (repetition rate increased to 3 Hz) | Effective working current established on vPM |
| M1 and M1 originating fibers | |||||
| HF | LF | HF | LF | HF | LF |
| Effective (change in pulses number andwidth possibly needed). Very limitedrisk of negative mapping. | Poorly effective high risk of negative mapping. Increased risk of intraoperative seizures. | Efficacy and risk as for asleep condition | Efficacy and risk as for asleep condition | Limited data | Limited data |
| Informative on distance from M1 fibers (1 mA = 1 mm rule) | Informative on distance from M1 fibers (1 mA = 1 mm rule) | ||||
| Increased risk of postoperative apraxia (damage to SLFIII) | Increased risk of intraoperative seizure | ||||
The efficacy and the limitations or risk for each condition is reported.
FIGURE 1.A, Left panel: Asleep surgery HF stimulation (4 mA, 5 pulses, 0.5-ms duration, 4-ms ISI, 1-Hz repetition rate, anodal, monopolar probe) on the primary motor cortex-hand knob region recruits MEPs in APB. Right panel: Asleep surgery LF stimulation (bipolar probe, 60 Hz, 4 mA) over the same hand-knob region of the primary motor cortex at threshold intensity evokes the somatotopic recruitment of different hand muscles (APB, EDC, FDI). The electrically induced EMG activity shows a progressive recruitment of motor units from the onset towards the end of the stimulus. B, Left panel: Asleep surgery. MEPs obtained in hand muscles (APB) by HF stimulation of the CST on the subcortical level (3 mA, 5 pulses, 0.5-ms duration, 4-ms ISI, 1-Hz repetition rate, cathodal, monopolar probe). Right panel: Asleep surgery LF subcortical stimulation (bipolar probe, 60 Hz, 6 mA). The EMG recruitment of different hand muscles (APB, EDC, FDI) is characterized by a tonic waveform. APB = abductor pollicis brevis, EDC = extensor digitorum communis, FDI = first dorsal interosseus.
FIGURE 2.Template of lateral and mesial surface of the left hemisphere showing in green the cortical areas where the use of motor task in awake condition is recommended to assess high skilled motor movement. Primary motor area (M1) is highlighted with a dotted red line.
FIGURE 3.Representative case of a 39-yr-old male with a previous history of focal seizures presented with a low-grade tumor involving the right prefrontal area. The patient was operated under asleep-awake-asleep anesthesia. The hMT was performed on the cortical and subcortical levels to assess the praxis network. A, Preoperative axial FLAIR pictures. B, MNI template in which the tumor volume was reported in yellow. Cortical sites tested during hMT with LF (3 mA, bipolar probe) are reported. Sites where no interferences were evoked are represented with black dots. The only site where dysfunctional recruitment was induced is reported as a blue dot (the EMG trace recorded from APB shows modification of the pattern of muscle activation during stimulation). The only site where a muscle suppression was induced is reported as a red dot (the EMG trace recorded from APB shows a significant reduction in motor unit recruitment). The light blue and red boxes highlight the stimulus application. C, Subcortical stimulation with LF during hMT identifies the posterior subcortical boundaries of resection. The upper panel shows a site where dysfunctional recruitment was induced (blue dot superimposed on an axial T1-post gadolinium postoperative MR) (EMG trace of APB showing modification of muscle pattern of activation). The lower panel shows a site where muscle suppression was induced (red dot superimposed on an axial T1-post gadolinium postoperative MR) (EMG trace of APB showing an almost complete suppression of muscle activation).