Optical properties, spectral, and lifetime measurements of central nervous system tumors in humans

Scientific Reports
F PoulonD Abi Haidar

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...Continue Reading

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Citations

May 7, 2019·Operative Neurosurgery·Christoph BettagDorothee Mielke
Mar 17, 2019·Lasers in Medical Science·Khalid Salem Shibib, Dhuha Shaker
May 18, 2020·Scientific Reports·João L LagartoRiccardo Cicchi
Nov 12, 2020·PLoS Computational Biology·Doruk CakmakciA Ercument Cicek
Jan 14, 2021·Scientific Reports·Tyler W IorizzoAnna N Yaroslavsky
Apr 9, 2021·Journal of Biophotonics·Peter W R ConnollyGerald S Buller
Jan 18, 2022·Journal of Biophotonics·Wen Qi ZhangShahraam Afshar Vahid
Mar 5, 2019··Melissa SkalaElizabeth S. Berge

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Methods Mentioned

BETA
surgical resection
imaging techniques

Software Mentioned

Matlab
FluoFit

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