Classification of cytological samples from oral potentially malignant lesions through Raman spectroscopy: A pilot study

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Feb 5:266:120437. doi: 10.1016/j.saa.2021.120437. Epub 2021 Sep 27.

Abstract

The potential of Raman microspectroscopy of exfoliated cells has been demonstrated for oral cancer diagnosis. In this study, brush biopsies were collected from the buccal mucosa/tongue of healthy donors (n = 31) and from oral mucosal dysplastic lesions (n = 31 patients). Raman spectra were acquired and subjected to partial least squares-discriminant analysis (PLS-DA). The patient samples could be differentiated from healthy donor samples with 96% sensitivity and 95% specificity. Furthermore, PLS-DA models were developed based on cytopathological and histopathological assessment. Low and high grade dysplasia could be discriminated with 64% sensitivity and 65% specificity based on cytopathological assessment, while 81% sensitivity and 86% specificity could be achieved when histopathological assessment was within six months of the brush biopsy sampling. Therefore, this explorative study has successfully demonstrated that Raman spectroscopy may have a role in monitoring patients with dysplasia and may reduce the need for multiple biopsies.

Keywords: Binary grading system; Brush biopsy; Cytological samples; High grade dysplasia; Low grade dysplasia; Oral potentially malignant lesions; Raman microspectroscopy; Sensitivity; Specificity.

MeSH terms

  • Discriminant Analysis
  • Humans
  • Least-Squares Analysis
  • Mouth Neoplasms* / diagnosis
  • Pilot Projects
  • Sensitivity and Specificity
  • Spectrum Analysis, Raman*