Abstract

  Current technologies used for glioblastoma resection seems to improve accuracy in achieving gross total resection but overall survival has been similar in the last decades with only minimal improvement. Non-enhancing areas on contrast enhanced T1-weighted MRI images has the highest density of viable malignant cells and MRI sequences are not tumor specific, making complete resection of the tumor and obtaining better survival very difficult despite the current combination of treatments. In this article we review the latest technological advances that attempt to improve tumor resection to prolong survival time.

Keywords: Gross Total Resection (GTR); Glioblastoma Multiform (GBM); Blood Brain Barrier (BBB)

References

1. Tamimi AF and Juweid M. “Epidemiology and Outcome of Glioblastoma”. In: De Vleeschouwer S, editor. Glioblastoma [Internet]. Brisbane (AU): Codon Publications Chapter 8 (2017).
2. Zhang H., et al. “Glioblastoma Treatment Modalities besides Surgery”. Journal of Cancer20 (2019): 4793-4806.
3. Brown TJ., et al. “Association of the Extent of Resection With Survival in Glioblastoma: A Systematic Review and Meta-analysis”. JAMA Oncology11 (2016): 1460-1469.
4. Lara-Velazquez M., et al. “Advances in Brain Tumor Surgery for Glioblastoma in Adults”. Brain Science12 (2017).
5. Eidel O., et al. “Tumor Infiltration in Enhancing and Non-Enhancing Parts of Glioblastoma: A Correlation with Histopathology”. PLoS One1 (2017): e0169292.
6. Shukla G., et al. “Advanced magnetic resonance imaging in glioblastoma: a review”. Chinese Clinical Oncology4 (2017): 40.
7. Velásquez C., et al. “Molecular and Clinical Insights into the Invasive Capacity of Glioblastoma Cells”. Journal of Oncology (2019): 1740763.
8. Jenkinson MD., et al. “Intraoperative imaging technology to maximise extent of resection for glioma”. Cochrane Database System Review 1 (2018): CD012788.
9. Gandhi S., et al. “Survival Outcomes Among Patients With High-Grade Glioma Treated With 5-Aminolevulinic Acid-Guided Surgery: A Systematic Review and Meta-Analysis”. Frontiers in Oncology 9 (2019): 620.
10. Shukla G., et al. “Advanced magnetic resonance imaging in glioblastoma: a review”. Chinese Clinical Oncology4 (2017): 40.
11. Dehkordi ANV., et al. “DCE-MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro-fuzzy-based model and nested model selection technique”. NMR Biomed9 (2018).
12. Artzi M., et al. “Classification of tumor area using combined DCE and DSC MRI in patients with glioblastoma”. Journals of Neurooncology2 (2015): 349-357.
13. Hyare H., et al. “Advanced MRI Techniques in the Monitoring of Treatment of Gliomas”. Current Advances in Treatment Options 3 (2017): 11.
14. John F., et al. “Multimodal Imaging of Nonenhancing Glioblastoma Regions”. Molecular Imaging 18 (2019): 1536012119885222.
15. Shah AH., et al. “Survival benefit of lobectomy for glioblastoma: moving towards radical supramaximal resection”. Journal of Neurooncology3 (2020): 501-508.
16. Lin X., et al. “Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma”. AJNR American Journal of Neuroradiology3 (2017): 485-491.
17. Khan I., et al. “Role of Intra-operative MRI (iMRI) in Improving Extent of Resection and Survival in Patients with Glioblastoma Multiforme”. Journal of Pakistan Medical Association7 (2017): 1121-1123.
18. Waqas M., et al. “Role of 5-ALA in improving extent of tumour resection in patients with Glioblastoma Multiforme”. Journal of Pakistan Medical Association10 (2017): 1630-1632.
19. Quick-Weller J., et al. “Combination of 5-ALA and iMRI in re-resection of recurrent glioblastoma”. British Journal of Neurosurgery3 (2016): 313-317.
20. Kim ES., et al. “A novel, integrated PET-guided MRS technique resulting in more accurate initial diagnosis of high-grade glioma”. Neuroradiology Journal3 (2016): 193-197.
21. Sweeney JF., et al. “Efficacy of intraoperative ultrasonography in neurosurgical tumor resection”. Journal of Neurosurgery and Pediatrics5 (2018): 504-510.
22. Haige YU., et al. “Correlation of intraoperative ultrasonography and immunohistochemical markers expression in glioma”. Chinese Journal of Medical Imaging Technology6 (2018): 831-835.
23. Kalkanis SN., et al. “Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections”. Journals of Neurooncology3 (2014): 477-85.
24. Huang LC., et al. “Glioblastoma cells labeled by robust Raman tags for enhancing imaging contrast”. Biomedical Optics Express5 (2018): 2142-2153.

Citation

Citation: Marcos Escosa Bagé. “Glioblastoma Surgery: Technology for Gross Total Resection. A Review". Acta Scientific Neurology 3.12 (2020): 51-54.

Copyright

Copyright: © 2020 Marcos Escosa Bagé. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.