Raman spectroscopy of head and neck cancer: Separation of malignant and healthy tissue using signatures outside the "Fingerprint" region

Stephen Holler; Elaina Mansley; Christopher Mazzeo; Michael J. Donovan; Maximiliano Sobrero; Brett A. Miles

doi:10.3390/bios7020020

Raman spectroscopy of head and neck cancer: Separation of malignant and healthy tissue using signatures outside the "Fingerprint" region

Stephen Holler, Elaina Mansley, Christopher Mazzeo, Michael J. Donovan, Maximiliano Sobrero, Brett A. Miles

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The ability to rapidly and accurately discriminate between healthy and malignant tissue offers surgeons a tool for in vivo analysis that would potentially reduce operating time, facilitate quicker recovery, and improve patient outcomes. To this end, we investigate discrimination between diseased tissue and adjacent healthy controls from patients with head and neck cancer using near-infrared Raman spectroscopy. Our results indicate previously unreported peaks in the Raman spectra that lie outside the conventional "fingerprint" region (400 cm^-1-1800 cm^-1) played an important role in our analysis and in discriminating between the tissue classes. Preliminary multivariate statistical analyses of the Raman spectra indicate that discrimination between diseased and healthy tissue is possible based on these peaks.

Original language	English
Article number	20
Journal	Biosensors
Volume	7
Issue number	2
DOIs	https://doi.org/10.3390/bios7020020
State	Published - 14 May 2017

Keywords

Head and neck cancer
Multivariate statistics
Otolaryngology
Principal component analysis
Raman spectroscopy
Tissue diagnostics

Access to Document

10.3390/bios7020020

Cite this

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AU - Donovan, Michael J.

AU - Sobrero, Maximiliano

AU - Miles, Brett A.

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