ArticleBiomedical optics express2022
Diffuse reflectance spectroscopy sensor to differentiate between glial tumor and healthy brain tissue: a proof-of-concept study.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Wide-field and non-invasive imaging of brain tumours with scattered light techniques.Biomedical optics express · 2026Article
- Study of Minor Chromophores in Biological Tissues by Diffuse Optical Spectroscopy (Review).Sovremennye tekhnologii v meditsine · 2025Review
- Distinguishing motion artifacts during optical fiber-basedNeurophotonics · 2024Article
- Optical Methods for Brain Tumor Detection: A Systematic Review.Journal of clinical medicine · 2024Review
- Introduction to the Optics and the Brain 2023 feature issue.Biomedical optics express · 2024Article
- Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements.Journal of imaging · 2024Article
- Advances in Diagnostic Tools and Therapeutic Approaches for Gliomas: A Comprehensive Review.Sensors (Basel, Switzerland) · 2023Review
- In situ optical feedback in brain tumor biopsy: A multiparametric analysis.Neuro-oncology advancesArticle
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Authors and funding
9 authors.
Funding
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Abstract
Glial tumors grow diffusely in the brain. Survival is correlated to the extent of tumor removal, but tumor borders are often invisible. Resection beyond the borders as defined by conventional methods may further improve prognosis. In this proof-of-concept study, we evaluate diffuse reflectance spectroscopy (DRS) for discrimination between glial tumors and normal brain ex vivo. DRS spectra and histology were acquired from 22 tumor samples and nine brain tissue samples retrieved from 30 patients. The content of biological chromophores and scattering features were estimated by fitting a model derived from diffusion theory to the DRS spectra. DRS parameters differed significantly between tumor and normal brain tissue. Classification using random forest yielded a sensitivity and specificity for the detection of low-grade gliomas of 82.0% and 82.7%, respectively, and the area under curve (AUC) was 0.91. Applied in a hand-held probe or biopsy needle, DRS has the potential to provide intra-operative tissue analysis.
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Registered trials
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