| Literature DB >> 35734549 |
Lucas Jose Vaz Schiavao1,2, Iuri Neville Ribeiro1,2, Cintya Yukie Hayashi1, Eberval Gadelha Figueiredo1, Andre Russowsky Brunoni1, Manoel Jacobsen Teixeira1, Gabriel Pokorny3, Wellingson Silva Paiva1.
Abstract
Introduction: The brain tumor is frequently related to severe motor impairment and impacts the quality of life. The corticospinal tract can sometimes be affected depending on the type and size of the neoplasm, so different tools can evaluate motor function and connections. It is essential to organize surgical procedures and plan the approach. Functional motor status is mapped before, during, and after surgery. Studying corticospinal tract status can help map the functional areas, predict postoperative outcomes, and help the decision, reducing neurological deficits, aiming to preserve functional networks, using the concepts of white matters localization and fibbers connections. Nowadays, there are new techniques that provide functional information regarding the motor cortex, such as transcranial magnetic stimulation (TMS), direct cortical stimulation (DCS), and navigated TMS (nTMS). These tools can be used to plan a customized surgical strategy and the role of motor evoked potentials (MEPs) is well described during intra-operative, using intraoperative neuromonitoring. MEPs can help to localize primary motor areas and delineate the cut-off point of resection in real-time, using direct stimulation. In the post-operative, the MEP has increased your function as a predictive marker of permanent or transitory neurological lesion marker.Entities:
Keywords: brain tumors; motor cortex mapping; neurophysiology; systematic review; transcranial magnetic resonance
Year: 2022 PMID: 35734549 PMCID: PMC9208734 DOI: 10.2147/NDT.S359855
Source DB: PubMed Journal: Neuropsychiatr Dis Treat ISSN: 1176-6328 Impact factor: 2.989
Figure 1PRISMA flowchart.
Table Containing the Included Articles and the Extracted Data
| Authors | Year | Type of Study | Techniques | Sample Size | Healthy controls | Types of Tumors | Neurophysiological Technique | Age | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mirbagheri A et al, 2020 | 2020 | Cross-sectional | nTMS | 20 | 6 | X | Yes | 25–81 | |||||||
| Engelhardt M et al, 2019 | 2019 | Prospective cohort | nTMS | 125 | 10 | X | Yes | 20–79 | |||||||
| Seidel et al, 2019 | 2019 | Retrospective cohort | nTMS/DCS | 13 | X | Glioma, metastasis | Yes | X | |||||||
| Bulubas L et al, 2018 | 2018 | Prospective cohort | nTMS | 100 | X | X | Yes | 54–68 | |||||||
| Sollmann T et al, 2017 | 2017 | Prospective cohort | nTMS | 43 | X | Glioma | Yes | 56–70 | |||||||
| Sollman N et al, 2017 | 2017 | Retrospective cohort | nTMS/DCS | 100 | X | X | Yes | 54–67 | |||||||
| Sollman N et al, 2016 | 2016 | Prospective cohort | nTMS | 12 | X | X | Yes | X | |||||||
| Bulubas L et al, 2016 | 2016 | Prospective cohort | nTMS | 100 | X | Glioma, metastasis | Yes | 43–57 | |||||||
| Opitz A et al, 2014 | 2014 | Cross-sectional | nTMS | 6 | X | Glioblastoma, metastasis; astrocytoma | Yes | 63 | |||||||
| Picht T et al, 2012 | 2012 | Prospective cohort | nTMS | 100 | x | Glioma, meningioma, cavernoma | Yes | 45–67 | |||||||
| Picht T et al, 2012 | 2012 | Prospective cohort | nTMS | 73 | Glioma, metastasis; benign tumors | Yes | 46–66 | ||||||||
| Rohde V et al, 2003 | 2003 | Cross-sectional | nTMS | 12 | X | Glioma, meningioma, metastasis | Yes | 52 | |||||||
| Gimramov R F, 2002 | 2002 | Prospective cohort | TMS | 91 | 23 | Glioma | Yes | 17–44 | |||||||
| Machetanz K et al, 2021 | 2021 | Prospective cohort | nTMS | 24 | 12 | Glioma, metastasis | Yes | 30–73 | |||||||
| Neville I S et al, 2021 | 2021 | Retrospective cohort | nTMS | 40 | 82 (age-matched) | X | Yes | x | |||||||
| Lavrador J et al, 2021 | 2021 | Retrospective cohort | nTMS | 47 | X | Oligodendroglioma, astrocytoma, glioblastoma | Yes | 50.96 | |||||||
| Sollmann N et al, 2020 | 2020 | Prospective cohort | nTMS | 34 | x | Gliomas, glioblastomas, astrocytoma, metastases | Yes | x | |||||||
| Zhang H et al, 2020 | 2020 | Prospective cohort | nTMS | 39 | x | Gliomas, glioblastomas, astrocytoma, metastases | Yes | 56.3 (± 13.5) | |||||||
| Raffa G et al, 2020 | 2020 | Retrospective cohort | nTMS | 47 | x | 47 meningiomas | Yes | 61.9 (± 13.3) | |||||||
| Freigang S et al, 2020 | 2020 | RCT | nTMS | 12 | x | Astrocytoma, oligodendroglioma, glioblastoma | 42 (± 4.27) | ||||||||
| Tokarev A S et al, 2020 | 2020 | Cross-sectional | nTMS | 8 | x | x | x | x | |||||||
| Jung J et al, 2019 | 2019 | Retrospective cohort | nTMS | 35 | x | High-grade glioma, Low-grade glioma, metastasis, cavernoma | Yes | 47 (± 15) | |||||||
| Seynaeve L et al, 2019 | 2019 | Prospective cohort | nTMS | 12 | x | High-grade glioma, low-grade glioma, metastasis, large cells carcinoma | x | x | |||||||
| Lam S et al, 2019 | 2019 | Cross-sectional | nTMS | 20 | x | Tumors divided by location | Yes | 49.3 (± 16.3) | |||||||
| Raffa G et al, 2019 | 2019 | Retrospective cohort | nTMS | 82 | x | Glioblastoma, astrocytoma | Yes | ||||||||
| Moiyadi A et al, 2018 | 2018 | Prospective cohort | TES/DCS | 40 | x | High-grade glioma, low-grade glioma, metastasis, ependymoma | 38.3 [3–70] | ||||||||
| Umemura T et al, 2018 | 2018 | Prospective cohort | x | 190 | x | Tumor divided by location | Yes | 58 (± 7.5) GI e 58.3 (± 17.3) GII | |||||||
| Majchrzak K et al, 2018 | 2018 | Cross-sectional | TES/DCS | 38 | x | Gliomas | Yes | 37 (20–50) | |||||||
| Bulubas L et al, 2018 | 2018 | Cross-sectional | nTMS/DCS | 100 | x | Tumors divided by location | Yes | 54 (± 14) | |||||||
| Sollmann N et al, 2018 | 2018 | Prospective cohort | nTMS | 86 | x | High-grade glioma, low-grade glioma, metastasis | Yes | ||||||||
| Takakura T et al, 2017 | 2017 | Prospective cohort | nTMS/DCS | 13 | Autocontrole | Astrocytoma, oligodendroglioma, ependymoma, glioblastoma, oligoastrocytomas. | Yes | x | |||||||
| Abboud T et al, 2016 | 2016 | Prospective cohort | TES | 93 | x | X | Yes | 56 | |||||||
| Krieg S M et al, 2012 | 2012 | Prospective cohort | nTMS | 26 | x | Glioblastomas; astrocytoma; metastasis | Yes | 57 (±15.5) | |||||||
| Szelényi A et al, 2010 | 2010 | Prospective cohort | TES/DCS | 29 | X | Yes (MEP e SEP) | 42.8 (± 18.2) | ||||||||
| Kantelhardt S R et al, 2010 | 2010 | Case series | nTMS | 6 | 1 | Glioblastoma, astrocytoma, meningioma | 52,2 (mean); 49 (median) | ||||||||
| Picht T et al, 2009 | 2009 | Prospective cohort | nTMS | 10 | x | Glioblastomas; gliomas; metastasis; meningioma | |||||||||
| Krammer J M et al, 2009 | 2009 | Retrospective cohort | x | 65 | No group differentiation | Glioblastoma multiforme; meningioma; schwannoma; cavernoma; medulloblastoma; oligodendroglioma | Yes | dez/83 | |||||||
| Szelényi A et al, 2008 | 2008 | Retrospective cohort | X | 29 | No group differentiation | Glioblastomas, astrocytoma, tuberculoma, oligodendroglioma, cavernoma | YES | 40. 4 (median) | |||||||