Raman Spectroscopy of Head and Neck Cancer: Separation of Malignant and Healthy Tissue Using Signatures Outside the “Fingerprint” Region

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

doi:10.3390/bios7020020

Cited by 9 publications

(4 citation statements)

References 30 publications

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“…Raman spectroscopy may rapidly and accurately discriminate between healthy and malignant tissue [ 56 , 57 ]. This technique has hardly been used and is at an early stage.…”

Section: Qualitative Diagnosismentioning

confidence: 99%

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Qualitative and Quantitative Diagnosis in Head and Neck Cancer

et al. 2021

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The diagnosis is the art of determining the nature of a disease, and an accurate diagnosis is the true cornerstone on which rational treatment should be built. Within the workflow in the management of head and neck tumours, there are different types of diagnosis. The purpose of this work is to point out the differences and the aims of the different types of diagnoses and to highlight their importance in the management of patients with head and neck tumours. Qualitative diagnosis is performed by a pathologist and is essential in determining the management and can provide guidance on prognosis. The evolution of immunohistochemistry and molecular biology techniques has made it possible to obtain more precise diagnoses and to identify prognostic markers and precision factors. Quantitative diagnosis is made by the radiologist and consists of identifying a mass lesion and the estimation of the tumour volume and extent using imaging techniques, such as CT, MRI, and PET. The distinction between the two types of diagnosis is clear, as the methodology is different. The accurate establishment of both diagnoses plays an essential role in treatment planning. Getting the right diagnosis is a key aspect of health care, and it provides an explanation of a patient’s health problem and informs subsequent decision. Deep learning and radiomics approaches hold promise for improving diagnosis.

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“…Raman spectroscopy may rapidly and accurately discriminate between healthy and malignant tissue [ 56 , 57 ]. This technique has hardly been used and is at an early stage.…”

Section: Qualitative Diagnosismentioning

confidence: 99%

“…This technique has hardly been used and is at an early stage. Preliminary analyses of the Raman spectra indicate that discrimination between diseased and healthy tissue is possible [ 57 ].…”

Section: Qualitative Diagnosismentioning

confidence: 99%

Qualitative and Quantitative Diagnosis in Head and Neck Cancer

et al. 2021

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“…RS has been applied to diagnose many cancers to date, including breast 10 , pancreatic 11 , skin 12 , colon 13 , gastric 14 , and lung cancer 15 . In head and neck cancer (HNC), prior applications mainly focused on tissue, either as a screening tool 16 , 17 , for identification of potential recurrence 18 , or general discrimination between normal and cancerous tissues 19 – 26 . But there is little work done using RS to identify and validate early-stage HNC liquid biomarkers, particularly comparing against benign disease or diagnostic staging.…”

Section: Introductionmentioning

confidence: 99%

Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics

Koster

Guillén-Pérez²,

Gómez‐Díaz³

et al. 2022

Sci Rep

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As a rapid, label-free, non-destructive analytical measurement requiring little to no sample preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection and diagnosis. We carried out Raman analysis and mass spectrometry of plasma and saliva from more than 50 subjects in a cohort of head and neck cancer patients and benign controls (e.g., patients with benign oral masses). Unsupervised data models were built to assess diagnostic performance. Raman spectra collected from either biofluid provided moderate performance to discriminate cancer samples. However, by fusing together the Raman spectra of plasma and saliva for each patient, subsequent analytical models delivered an impressive sensitivity, specificity, and accuracy of 96.3%, 85.7%, and 91.7%, respectively. We further confirmed that the metabolites driving the differences in Raman spectra for our models are among the same ones that drive mass spectrometry models, unifying the two techniques and validating the underlying ability of Raman to assess metabolite composition. This study bolsters the relevance of Raman to provide additive value by probing the unique chemical compositions across biofluid sources. Ultimately, we show that a simple data augmentation routine of fusing plasma and saliva spectra provided significantly higher clinical value than either biofluid alone, pushing forward the potential of clinical translation of Raman spectroscopy for liquid biopsy cancer diagnostics.

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“…Surface-enhanced Raman scattering (SERS) is a non-invasive and molecular specific spectroscopic technique which uses molecular vibrational fingerprints region (400-1800 cm -1 ) to identify and quantify a library of chemical molecules (Figure 1.9). [61][62][63][64] However, Raman signals of molecules are weak due to their small Raman scattering crosssection and also the intrinsic weak Raman scattering whereby one in every 10 8 photons undergoes Raman scattering spontaneously. 65 Raman signal amplification which results from the polarizability increment through the charge transfer among chemisorbed molecules and plasmonic metal surface.…”

Section: Surface-enhanced Raman Scattering (Sers)mentioning

confidence: 99%

Multifunctional solid@MOF nanohybrids toward surface-enhanced raman spectroscopy (SERS) and electrochemistry applications

Sim

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Raman Spectroscopy of Head and Neck Cancer: Separation of Malignant and Healthy Tissue Using Signatures Outside the “Fingerprint” Region

Cited by 9 publications

References 30 publications

Qualitative and Quantitative Diagnosis in Head and Neck Cancer

Qualitative and Quantitative Diagnosis in Head and Neck Cancer

Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics

Multifunctional solid@MOF nanohybrids toward surface-enhanced raman spectroscopy (SERS) and electrochemistry applications

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