Literature DB >> 25038847

Raman molecular imaging of brain frozen tissue sections.

Rachel E Kast1, Gregory W Auner, Mark L Rosenblum, Tom Mikkelsen, Sally M Yurgelevic, Aditya Raghunathan, Laila M Poisson, Steven N Kalkanis.   

Abstract

Raman spectroscopy provides a molecular signature of the region being studied. It is ideal for neurosurgical applications because it is non-destructive, label-free, not impacted by water concentration, and can map an entire region of tissue. The objective of this paper is to demonstrate the meaningful spatial molecular information provided by Raman spectroscopy for identification of regions of normal brain, necrosis, diffusely infiltrating glioma and solid glioblastoma (GBM). Five frozen section tissues (1 normal, 1 necrotic, 1 GBM, and 2 infiltrating glioma) were mapped in their entirety using a 300-µm-square step size. Smaller regions of interest were also mapped using a 25-µm step size. The relative concentrations of relevant biomolecules were mapped across all tissues and compared with adjacent hematoxylin and eosin-stained sections, allowing identification of normal, GBM, and necrotic regions. Raman peaks and peak ratios mapped included 1003, 1313, 1431, 1585, and 1659 cm(-1). Tissue maps identified boundaries of grey and white matter, necrosis, GBM, and infiltrating tumor. Complementary information, including relative concentration of lipids, protein, nucleic acid, and hemoglobin, was presented in a manner which can be easily adapted for in vivo tissue mapping. Raman spectroscopy can successfully provide label-free imaging of tissue characteristics with high accuracy. It can be translated to a surgical or laboratory tool for rapid, non-destructive imaging of tumor margins.

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Year:  2014        PMID: 25038847     DOI: 10.1007/s11060-014-1536-9

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  22 in total

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4.  Near infrared Raman spectroscopic mapping of native brain tissue and intracranial tumors.

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6.  Ex vivo and in vivo diagnosis of C6 glioblastoma development by Raman spectroscopy coupled to a microprobe.

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7.  Raman spectroscopic imaging for in vivo detection of cerebral brain metastases.

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  14 in total

1.  Identification of regions of normal grey matter and white matter from pathologic glioblastoma and necrosis in frozen sections using Raman imaging.

Authors:  Rachel Kast; Gregory Auner; Sally Yurgelevic; Brandy Broadbent; Aditya Raghunathan; Laila M Poisson; Tom Mikkelsen; Mark L Rosenblum; Steven N Kalkanis
Journal:  J Neurooncol       Date:  2015-09-10       Impact factor: 4.130

Review 2.  Improving the accuracy of brain tumor surgery via Raman-based technology.

Authors:  Todd Hollon; Spencer Lewis; Christian W Freudiger; X Sunney Xie; Daniel A Orringer
Journal:  Neurosurg Focus       Date:  2016-03       Impact factor: 4.047

3.  Rise of Raman spectroscopy in neurosurgery: a review.

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Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

4.  AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography.

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Journal:  Clin Cancer Res       Date:  2019-07-17       Impact factor: 12.531

Review 5.  Shining light on neurosurgery diagnostics using Raman spectroscopy.

Authors:  Brandy Broadbent; James Tseng; Rachel Kast; Thomas Noh; Michelle Brusatori; Steven N Kalkanis; Gregory W Auner
Journal:  J Neurooncol       Date:  2016-08-13       Impact factor: 4.506

Review 6.  Label-free brain tumor imaging using Raman-based methods.

Authors:  Todd Hollon; Daniel A Orringer
Journal:  J Neurooncol       Date:  2021-02-21       Impact factor: 4.506

7.  Hyperspectral Raman imaging of neuritic plaques and neurofibrillary tangles in brain tissue from Alzheimer's disease patients.

Authors:  Ralph Michael; Aufried Lenferink; Gijs F J M Vrensen; Ellen Gelpi; Rafael I Barraquer; Cees Otto
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8.  Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.

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9.  An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.

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Journal:  Sensors (Basel)       Date:  2018-02-01       Impact factor: 3.576

10.  Label-free imaging of amyloid plaques in Alzheimer's disease with stimulated Raman scattering microscopy.

Authors:  Minbiao Ji; Michal Arbel; Lili Zhang; Christian W Freudiger; Steven S Hou; Dongdong Lin; Xinju Yang; Brian J Bacskai; X Sunney Xie
Journal:  Sci Adv       Date:  2018-11-16       Impact factor: 14.136

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