Raman spectroscopy in head and neck cancer

Abstract

In recent years there has been much interest in the use of optical diagnostics in cancer detection. Early diagnosis of cancer affords early intervention and greatest chance of cure. Raman spectroscopy is based on the interaction of photons with the target material producing a highly detailed biochemical 'fingerprint' of the sample. It can be appreciated that such a sensitive biochemical detection system could confer diagnostic benefit in a clinical setting. Raman has been used successfully in key health areas such as cardiovascular diseases, and dental care but there is a paucity of literature on Raman spectroscopy in Head and Neck cancer. Following the introduction of health care targets for cancer, and with an ever-aging population the need for rapid cancer detection has never been greater. Raman spectroscopy could confer great patient benefit with early, rapid and accurate diagnosis. This technique is almost labour free without the need for sample preparation. It could reduce the need for whole pathological specimen examination, in theatre it could help to determine margin status, and finally peripheral blood diagnosis may be an achievable target.

Raman Spectroscopy of Ghost Cells in Calcifying Cystic Odontogenic Tumor

“…In recent years there has been much interest in the use of optical diagnosis in cancer detection 7) . Therefore, Raman spectroscopy is used for various researches [1][2][3][4][5][6][7][8][9] , suggesting Raman spectroscopic analysis is a powerful and useful tool.…”

“…Therefore, Raman spectroscopy is used for various researches [1][2][3][4][5][6][7][8][9] , suggesting Raman spectroscopic analysis is a powerful and useful tool. There are some advantages to using Raman spectroscopy for analysis of water-rich and multi- The present study demonstrated the micro FT-Raman ability for obtaining the spectra of ghost cells in CCOT and keratinocytes of the gingiva.…”

Distinguishing Cancerous Liver Cells Using Surface-Enhanced Raman Spectroscopy

“…Raman spectroscopy could confer great patient benefit in a clinical setting with early, nondestructive, rapid, and accurate diagnosis. 27,52 Many studies report the Raman spectroscopic detection of malignant and premalignant tissues in different sites of the body with high sensitivities, has the potential as a new tool in the clinico-oncological practice. 19 The diagnostic potential of Raman spectroscopy has been demonstrated in cancers of various organs including the esophagus, 53 breast, 54 lung, 55 bladder, 56 skin, 57 and prostate.…”

“…For example, the in vivo imaging of water, lipid, and protein of skin and mapping of penetration pathways of topically applied drugs in mice and humans have been done using Raman spectrum without label, 18 and Raman spectrum is a good tool for real-time diagnosis of diseases and in situ evaluation of living tissues. 19,20 The diagnostic application in cancer detection of Raman spectroscopy was reported, 21 it could be used in the diagnostic application of the breast cancer, 22,23 cervical cancer, 24,25 colorectal cancer, 26 head and neck cancer, 27 skin cancer, 28 bladder cancer, 29 gastric carcinoma, 30 prostate cancer, 31 and leukemia. 32 Many literatures reported the difference in the normal and malignant cells and tissues using the chemical method or fluorescence spectroscopy technology.…”

Investigation of the potential of Raman spectroscopy for oral cancer detection in surgical margins

“…12,13 Raman spectroscopy is especially suited for intra-operative use since this nondestructive technique does not need any pretreatment or labeling of the tissue. Previously, several groups investigated the potential application of Raman spectroscopy for tumor detection in the head and neck region, [14][15][16] including the oral cavity. [17][18][19][20][21][22][23][24] Based on the results of ex vivo and in vivo measurements of oral tissue, it was repeatedly concluded that spectra from normal tissue were recognized by their high lipid content, whereas the spectra from malignant tissue were characterized by their protein features.…”