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Emerging In Vivo Imaging Modalities for Improved Glioblastoma Surgery and Monitoring
Oluwagbenga Dada1, Shikshita Singh1, Francheska Sumadchat1
1Rocky Vista University, College of Osteopathic Medicine, Ivins, UT 84738, USA.
Abstract:
Glioblastoma (GBM) remains the most aggressive primary malignant brain tumor in adults, with poor survival largely driven by diffuse cellular infiltration, profound heterogeneity, and near-universal recurrence following standard therapy. Although maximizing the extent of resection is a key determinant of patient outcome, current clinical imaging modalities lack the spatial resolution necessary to detect microscopic tumor invasion and therapy-resistant cell populations. Emerging in vivo imaging technologies capable of cellular and near-single-cell resolution have therefore become a major focus in preclinical neuro-oncology research, with growing relevance for surgical guidance, treatment adaptation, and translational discovery. This review evaluates multiple optical imaging modalities, including multi-photon microscopy, near-infrared II fluorescence imaging, bioluminescence imaging, photoacoustic imaging, optical coherence tomography, confocal laser endomicroscopy, Raman spectroscopy, autofluorescence microscopy, and fluorescence macroscopy with a focus on their ability to detect residual GBM cells. Despite significant advances, these approaches remain constrained by limitations in molecular target availability, probe delivery across the blood-brain barrier, and signal variability within heterogeneous tumor regions. The biological complexity of GBM further challenges detection, as residual tumor cells are spatially dispersed and phenotypically diverse, limiting the effectiveness of single-marker or single-modality strategies. Together, these findings highlight the need for integrated, biologically informed imaging approaches to improve detection of residual disease and guide surgical decision making.
Insights
Detecting residual glioblastoma (GBM) cells after surgery is challenging due to tumor infiltration and heterogeneity. Advanced optical imaging techniques show promise but require integrated, biologically informed strategies for improved detection and surgical guidance.
Area of Science:
- Neuro-oncology
- Biomedical Imaging
- Cancer Biology
Background:
- Glioblastoma (GBM) is an aggressive brain tumor with high recurrence rates.
- Current imaging lacks resolution to detect microscopic tumor invasion.
- Maximal surgical resection improves outcomes but is limited by residual disease.
Purpose of the Study:
- To review optical imaging modalities for detecting residual GBM cells.
- To assess the capabilities and limitations of these advanced imaging techniques.
- To highlight the need for integrated imaging approaches in neuro-oncology.
Main Methods:
- Review of multiple optical imaging technologies: multi-photon microscopy, NIR II fluorescence, bioluminescence, photoacoustic imaging, OCT, CLE, Raman spectroscopy, autofluorescence, and fluorescence macroscopy.
- Focus on the ability of each modality to detect residual GBM cells.
- Analysis of limitations including molecular targets, blood-brain barrier penetration, and signal variability.
Main Results:
- Emerging in vivo imaging offers cellular/near-single-cell resolution for preclinical research.
- These technologies are relevant for surgical guidance and treatment adaptation.
- Significant advances exist, but limitations hinder widespread clinical application.
Conclusions:
- Residual GBM cells are difficult to detect due to dispersal and diversity.
- Current single-modality or single-marker strategies are insufficient.
- Integrated, biologically informed imaging is crucial for improving residual disease detection and surgical decision-making.
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