Label-Free Optical Spectroscopy for Early Detection of Oral Cancer

  • Siddra Maryam
  • , Marcelo Saito Nogueira
  • , Rekha Gautam
  • , Shree Krishnamoorthy
  • , Sanathana Konugolu Venkata Sekar
  • , Kiang Wei Kho
  • , Huihui Lu
  • , Richeal Ni Riordain
  • , Linda Feeley
  • , Patrick Sheahan
  • , Ray Burke
  • , Stefan Andersson-Engels

Research output: Contribution to journalReview articlepeer-review

Abstract

Oral cancer is the 16th most common cancer worldwide. It commonly arises from painless white or red plaques within the oral cavity. Clinical outcome is highly related to the stage when diagnosed. However, early diagnosis is complex owing to the impracticality of biopsying every potentially premalignant intraoral lesion. Therefore, there is a need to develop a non-invasive cost-effective diagnostic technique to differentiate non-malignant and early-stage malignant lesions. Optical spectroscopy may provide an appropriate solution to facilitate early detection of these lesions. It has many advantages over traditional approaches including cost, speed, objectivity, sensitivity, painlessness, and ease-of use in clinical setting for real-time diagnosis. This review consists of a comprehensive overview of optical spectroscopy for oral cancer diagnosis, epidemiology, and recent improvements in this field for diagnostic purposes. It summarizes major developments in label-free optical spectroscopy, including Raman, fluorescence, and diffuse reflectance spectroscopy during recent years. Among the wide range of optical techniques available, we chose these three for this review because they have the ability to provide biochemical information and show great potential for real-time deep-tissue point-based in vivo analysis. This review also highlights the importance of saliva-based potential biomarkers for non-invasive early-stage diagnosis. It concludes with the discussion on the scope of development and future demands from a clinical point of view.

Original languageEnglish
Article number2896
JournalDiagnostics
Volume12
Issue number12
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • biomarkers
  • diffuse reflectance spectroscopy
  • fluorescence spectroscopy
  • oral cancer
  • Raman spectroscopy
  • saliva analysis

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