Title

Identification of Regions of Normal Grey Matter and White Matter from Pathologic Glioblastoma and Necrosis in Frozen Sections Using Raman Imaging

Document Type

Article

Publication Date

11-1-2015

Publication Title

Journal of neuro-oncology

Abstract

In neurosurgical applications, a tool capable of distinguishing grey matter, white matter, and areas of tumor and/or necrosis in near-real time could greatly aid in tumor resection decision making. Raman spectroscopy is a non-destructive spectroscopic technique which provides molecular information about the tissue under examination based on the vibrational properties of the constituent molecules. With careful measurement and data processing, a spatial step and repeat acquisition of Raman spectra can be used to create Raman images. Forty frozen brain tissue sections were imaged in their entirety using a 300-µm-square measurement grid, and two or more regions of interest within each tissue were also imaged using a 25 µm-square step size. Molecular correlates for histologic features of interest were identified within the Raman spectra, and novel imaging algorithms were developed to compare molecular features across multiple tissues. In previous work, the relative concentration of individual biomolecules was imaged. Here, the relative concentrations of 1004, 1300:1344, and 1660 cm(-1), which correspond primarily to protein and lipid content, were simultaneously imaged across all tissues. This provided simple interpretation of boundaries between grey matter, white matter, and diseased tissue, and corresponded with findings from adjacent hematoxylin and eosin-stained sections. This novel, yet simple, multi-channel imaging technique allows clinically-relevant resolution with straightforward molecular interpretation of Raman images not possible by imaging any single peak. This method can be applied to either surgical or laboratory tools for rapid, non-destructive imaging of grey and white matter.

Medical Subject Headings

Brain Neoplasms; Female; Frozen Sections; Glioblastoma; Gray Matter; Humans; Image Processing, Computer-Assisted; Male; Necrosis; Spectrum Analysis, Raman; White Matter

PubMed ID

26359131

Volume

125

Issue

2

First Page

287

Last Page

295

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