In vivo characterization of the human glioblastoma infiltrative edge with label-free intraoperative fluorescence lifetime imaging.
Alba Alfonso-GarciaSilvia Noble AnbunesanJulien BecHan Sung LeeLee-Way JinOrin BlochLaura MarcuPublished in: Biomedical optics express (2023)
Challenges in identifying a glioblastoma's infiltrative edge during neurosurgical procedures result in rapid recurrence. A label-free fluorescence lifetime imaging (FLIm) device was used to evaluate glioblastoma's infiltrative edge in vivo in 15 patients (89 samples). FLIm data were analyzed according to tumor cell density, infiltrating tissue type (gray and white matter), and diagnosis history (new or recurrent). Infiltrations in white matter from new glioblastomas showed decreasing lifetimes and a spectral red shift with increasing tumor cell density. Areas of high versus low tumor cell density were separated through a linear discriminant analysis with a ROC-AUC=0.74. Current results support the feasibility of intraoperative FLIm for real-time in vivo brain measurements and encourage refinement to predict glioblastoma infiltrative edge, underscoring the ability of FLIm to optimize neurosurgical outcomes.
Keyphrases
- white matter
- label free
- single cell
- high resolution
- cell therapy
- end stage renal disease
- endothelial cells
- chronic kidney disease
- ejection fraction
- adipose tissue
- newly diagnosed
- prognostic factors
- basal cell carcinoma
- computed tomography
- bone marrow
- single molecule
- artificial intelligence
- electronic health record
- brain injury
- big data
- subarachnoid hemorrhage
- patient reported outcomes
- mesenchymal stem cells
- induced pluripotent stem cells
- sensitive detection