The Potential of Raman Spectroscopy in the Diagnosis of Dysplastic and Malignant Oral Lesions.
Simple Summary: Raman spectroscopy, a light scattering technique that provides the biochemical fingerprint of a sample, was used on samples taken from patients with cancer and precancerous lesions. This information was then used to build a classifier to identify cancer and the precancerous phases. T...
| Publicado en: | Cancers Vol. 13; no. 4; pp. 619 - 620 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
MDPI
2/15/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148975784&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148975784 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20726694 B74B jtl: Cancers issn: 20726694 maglogo: N pubinfo: dt: 2/15/2021 vid: 13 iid: 4 pid: 97109 pub: MDPI artinfo: ui: 148975784 148975784 148975784 10.3390/cancers13040619 148975784 ppf: 619 ppct: 1 formats: tig: atl: The Potential of Raman Spectroscopy in the Diagnosis of Dysplastic and Malignant Oral Lesions. aug: au: Ibrahim, Ola Toner, Mary Flint, Stephen Byrne, Hugh J. Lyng, Fiona M. Preda, Lorenzo affil: School of Dental Science, Trinity College Dublin, Lincoln Place, D02 Dublin 2, Ireland sug: subj: Mouth Neoplasms Diagnosis Precancerous Conditions Diagnosis Squamous Cell Carcinoma of Head and Neck Diagnosis Spectrum Analysis, Raman Human Squamous Cell Carcinoma of Head and Neck Pathology Precancerous Conditions Pathology Mouth Neoplasms Pathology Descriptive Statistics Nucleic Acids Metabolism Mouth Mucosa Metabolism Lipids Metabolism Proteins Metabolism Collagen Metabolism Connective Tissue Metabolism Smoking Inflammation ab: Simple Summary: Raman spectroscopy, a light scattering technique that provides the biochemical fingerprint of a sample, was used on samples taken from patients with cancer and precancerous lesions. This information was then used to build a classifier to identify cancer and the precancerous phases. The ability to distinguish cancerous tissue from normal and precancerous tissue is diagnostically crucial as it can alter the patients' prognosis and management. Moreover, as cellular changes are often present at the tumour margin, the ability to distinguish these changes from cancer can help in preserving more of the tissue and maintaining aesthetics and functionality for the patient. Early diagnosis, treatment and/or surveillance of oral premalignant lesions are important in preventing progression to oral squamous cell carcinoma (OSCC). The current gold standard is through histopathological diagnosis, which is limited by inter- and intra-observer errors and sampling errors. The objective of this work was to use Raman spectroscopy to discriminate between benign, mild, moderate and severe dysplasia and OSCC in formalin fixed paraffin preserved (FFPP) tissues. The study included 72 different pathologies from which 17 were benign lesions, 20 mildly dysplastic, 20 moderately dysplastic, 10 severely dysplastic and 5 invasive OSCC. The glass substrate and paraffin wax background were digitally removed and PLSDA with LOPO cross-validation was used to differentiate the pathologies. OSCC could be differentiated from the other pathologies with an accuracy of 70%, while the accuracy of the classifier for benign, moderate and severe dysplasia was ~60%. The accuracy of the classifier was lowest for mild dysplasia (~46%). The main discriminating features were increased nucleic acid contributions and decreased protein and lipid contributions in the epithelium and decreased collagen contributions in the connective tissue. Smoking and the presence of inflammation were found to significantly influence the Raman classification with respective accuracies of 76% and 94%. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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