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Optical Methods for Brain Tumor Detection: A Systematic Review
Gustav Burström1, Misha Amini1, Victor Gabriel El-Hajj1
1Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden.
Journal of Clinical Medicine
|May 11, 2024
Summary
Optical imaging techniques like Raman Spectroscopy (RS) and Hyperspectral Imaging (HSI) show promise for distinguishing brain tumors from healthy tissue during surgery, improving tumor resection accuracy.
Area of Science:
- Neurosurgery
- Biomedical Optics
- Medical Imaging
Background:
- Maximal tumor resection is crucial in brain tumor surgery but challenging due to infiltrative tumor cells.
- Distinguishing tumor from healthy tissue intraoperatively is a significant surgical hurdle.
- Optical methods offer potential for real-time differentiation, revolutionizing surgical precision.
Purpose of the Study:
- To systematically review and summarize the literature on optical methods for brain tumor detection.
- To evaluate the accuracy, sensitivity, and specificity of these technologies in clinical settings.
Main Methods:
- Systematic literature search of MEDLINE, Embase, and Web of Science databases.
- Inclusion of studies evaluating Raman Spectroscopy (RS), Hyperspectral Imaging (HSI), Optical Coherence Tomography (OCT), and Diffuse Reflectance Spectroscopy (DRS).
- Analysis of reported accuracy, sensitivity, and specificity metrics for each optical technique.
Main Results:
- A total of 44 studies were included in the review.
- Reported accuracy varied by technique: RS (54-100%), HSI (69-99%), OCT (82-99%), and DRS (42-100%).
- These optical methods demonstrate a range of effectiveness in differentiating brain tumors.
Conclusions:
- Optical methods provide valuable evidence for distinguishing tumorous from healthy brain tissue.
- The reviewed technologies show potential for enhancing intraoperative decision-making in neurosurgery.
- Further research can optimize these optical tools for improved brain tumor resection outcomes.
