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Raman spectroscopy: A prospective intraoperative visualization technique for gliomas
Yi Zhang1, Hongquan Yu1, Yunqian Li1
1Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin, China.
Abstract:
The infiltrative growth and malignant biological behavior of glioma make it one of the most challenging malignant tumors in the brain, and how to maximize the extent of resection (EOR) while minimizing the impact on normal brain tissue is the pursuit of neurosurgeons. The current intraoperative visualization assistance techniques applied in clinical practice suffer from low specificity, slow detection speed and low accuracy, while Raman spectroscopy (RS) is a novel spectroscopy technique gradually developed and applied to clinical practice in recent years, which has the advantages of being non-destructive, rapid and accurate at the same time, allowing excellent intraoperative identification of gliomas. In the present work, the latest research on Raman spectroscopy in glioma is summarized to explore the prospect of Raman spectroscopy in glioma surgery.
Insights
Raman spectroscopy (RS) offers a non-destructive, rapid, and accurate method for intraoperative glioma identification. This technique shows promise for improving extent of resection (EOR) in brain tumor surgery.
Area of Science:
- Neurosurgery
- Oncology
- Spectroscopy
Background:
- Gliomas are challenging brain tumors due to infiltrative growth and malignant behavior.
- Maximizing extent of resection (EOR) while preserving normal brain tissue is a key neurosurgical goal.
- Current intraoperative visualization techniques have limitations in specificity, speed, and accuracy.
Purpose of the Study:
- To summarize recent research on Raman spectroscopy (RS) applications in glioma surgery.
- To explore the potential of RS as an advanced intraoperative tool for glioma identification.
Main Methods:
- Review of current literature on Raman spectroscopy in the context of glioma.
- Analysis of RS advantages including non-destructiveness, speed, and accuracy.
Main Results:
- Raman spectroscopy demonstrates potential for excellent intraoperative identification of gliomas.
- RS overcomes limitations of existing visualization techniques.
Conclusions:
- Raman spectroscopy presents a promising prospect for enhancing glioma surgery.
- Further research and clinical application of RS could improve surgical outcomes for brain tumor patients.
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