title: Distinction of brain tissue, low grade and high grade glioma with time-resolved fluorescence spectroscopy.
abstract: Neuropathology frozen section diagnoses are difficult in part because of the small tissue samples and the paucity of adjunctive rapid intraoperative stains. This study aims to explore the use of time-resolved laser-induced fluorescence spectroscopy as a rapid adjunctive tool for the diagnosis of glioma specimens and for distinction of glioma from normal tissues intraoperatively. Ten low grade gliomas, 15 high grade gliomas without necrosis, 6 high grade gliomas with necrosis and/or radiation effect, and 14 histologically uninvolved "normal" brain specimens are spectroscopicaly analyzed and contrasted. Tissue autofluorescence was induced with a pulsed Nitrogen laser (337 nm, 1.2 ns) and the transient intensity decay profiles were recorded in the 370-500 nm spectral range with a fast digitized (0.2 ns time resolution). Spectral intensities and time-dependent parameters derived from the time-resolved spectra of each site were used for tissue characterization. A linear discriminant analysis diagnostic algorithm was used for tissue classification. Both low and high grade gliomas can be distinguished from histologically uninvolved cerebral cortex and white matter with high accuracy (above 90%). In addition, the presence or absence of treatment effect and/or necrosis can be identified in high grade gliomas. Taking advantage of tissue autofluorescence, this technique facilitates a direct and rapid investigation of surgically obtained tissue.
authors.affiliation: Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
authors.forename: William H
authors.initials: WH
authors.lastname: Yong
authors.forename: Pramod V
authors.initials: PV
authors.lastname: Butte
authors.forename: Brian K
authors.initials: BK
authors.lastname: Pikul
authors.forename: Javier A
authors.initials: JA
authors.lastname: Jo
authors.forename: Qiyin
authors.initials: Q
authors.lastname: Fang
authors.forename: Thanassis
authors.initials: T
authors.lastname: Papaioannou
authors.forename: Keith
authors.initials: K
authors.lastname: Black
authors.forename: Laura
authors.initials: L
authors.lastname: Marcu
mesh_terms: D000465:Algorithms; D001921:Brain / Q000378:metabolism / Q000473:pathology*; D001931:Brain Mapping; D001932:Brain Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology*; D002540:Cerebral Cortex / Q000473:pathology; D005910:Glioma / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology*; D006801:Humans; D007834:Lasers; D050356:Lipid Metabolism; D008856:Microscopy, Fluorescence; D008954:Models, Biological; D015233:Models, Statistical; D009336:Necrosis; D013050:Spectrometry, Fluorescence / Q000379:methods*; D013053:Spectrophotometry; D013997:Time Factors