Emerging In Vivo Imaging Modalities for Improved Glioblastoma Surgery and Monitoring

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Authors: Oluwagbenga O. Dada, Shikshita Singh, Francheska Sumadchat, Madison Lather, Benjamin Brooks, JuliAnne E. Allgood
Cited by: 1
References: 111

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.

Fields of Study & Subjects

Photoacoustic and Ultrasonic Imaging Glioma Diagnosis and Treatment Nanoplatforms for cancer theranostics

Publication details

Journal / source
Biomedicines
Publisher
MDPI AG
Volume
14
Issue
4
Pages
816–816
Publication date
2 April 2026
Language
EN