ArticleScientific reports2017
Optical properties, spectral, and lifetime measurements of central nervous system tumors in humans.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Machine learning approaches in non-contact autofluorescence spectrum classification.PLOS digital health · 2024Article
- Review
- Diffuse reflectance spectroscopy for optical characterizations of orthotopic head and neck cancer modelsBiomedical optics express · 2024Article
- Raman difference spectroscopy and U-Net convolutional neural network for molecular analysis of cutaneous neurofibroma.PloS one · 2024Article
- PiDeeL: metabolic pathway-informed deep learning model for survival analysis and pathological classification of gliomas.Bioinformatics (Oxford, England) · 2023Article
- Challenges in, and recommendations for, hyperspectral imaging in ex vivo malignant glioma biopsy measurements.Scientific reports · 2023Article
- Cherenkov light emission in molecular radiation therapy of the thyroid and its application to dosimetry.Biomedical optics express · 2022Article
- Perspective on the integration of optical sensing into orthopedic surgical devices.Journal of biomedical optics · 2022Article
- Comparative Study Between a Customized Bimodal Endoscope and a Benchtop Microscope for Quantitative Tissue Diagnosis.Frontiers in oncology · 2022Article
- Molecular changes tracking through multiscale fluorescence microscopy differentiate Meningioma grades and non-tumoral brain tissues.Scientific reports · 2021Article
- Temperature induced changes in the optical properties of skin in vivo.Scientific reports · 2021Article
- Creation of an Automated Fluorescence Guided Tumor Ablation System.IEEE journal of translational engineering in health and medicine · 2021Article
- Machine learning assisted intraoperative assessment of brain tumor margins using HRMAS NMR spectroscopy.PLoS computational biology · 2020Article
- Real-time multispectral fluorescence lifetime imaging using Single Photon Avalanche Diode arrays.Scientific reports · 2020Article
- Inverse heat transfer analysis in detecting tissue optical properties using laser.Lasers in medical science · 2019Article
- In vivo label-free optical monitoring of structural and metabolic remodeling of myocardium following infarction.Biomedical optics express · 2019Article
- Optical Signatures Derived From Deep UV to NIR Excitation Discriminates Healthy Samples From Low and High Grades Glioma.Scientific reports · 2019Article
- The Impact of Compressed Femtosecond Laser Pulse Durations on Neuronal Tissue Used for Two-Photon Excitation Through an Endoscope.Scientific reports · 2018Article
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Authors and funding
7 authors.
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Abstract
A key challenge of central nervous system tumor surgery is to discriminate between brain regions infiltrated by tumor cells and surrounding healthy tissue. Although monitoring of autofluorescence could potentially be an efficient way to provide reliable information for these regions, we found little information on this subject, and thus we conducted studies of brain tissue optical properties. This particular study focuses on the different optical quantitative responses of human central nervous system tumors and their corresponding controls. Measurements were performed on different fixed human tumoral and healthy brain samples. Four groups of central nervous system tumors (glioblastoma, diffuse glioma, meningioma and metastasis) were discriminated from healthy brain and meninx control tissues. A threshold value was found for the scattering and absorption coefficient between tumoral and healthy groups. Emission Spectra of healthy tissue had a significant higher intensity than tumoral groups. The redox and optical index ratio were thenn calculated and these also showed significant discrimination. Two fluorescent molecules, NADH and porphyrins, showed distinct lifetim values among the different groups of samples. This study defines several optical indexes that can act as combinated indicators to discriminate healthy from tumoral tissues.
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