Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra



Ellis, Barnaby J, Whitley, Conor A, Triantafyllou, Asterios, Gunning, Philip J, Smith, Caroline I ORCID: 0000-0001-6878-0697, Barrett, Steve D ORCID: 0000-0003-2960-3334, Gardner, Peter, Shaw, Richard J ORCID: 0000-0002-5157-4042, Weightman, Peter ORCID: 0000-0002-0907-3930 and Risk, Janet M ORCID: 0000-0002-8770-7783
(2022) Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra. PLOS ONE, 17 (3). e0266043-.

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Abstract

Oral epithelial dysplasia (OED) is a histopathologically-defined, potentially premalignant condition of the oral cavity. The rate of transformation to frank carcinoma is relatively low (12% within 2 years) and prediction based on histopathological grade is unreliable, leading to both over- and under-treatment. Alternative approaches include infrared (IR) spectroscopy, which is able to classify cancerous and non-cancerous tissue in a number of cancers, including oral. The aim of this study was to explore the capability of FTIR (Fourier-transform IR) microscopy and machine learning as a means of predicting malignant transformation of OED. Supervised, retrospective analysis of longitudinally-collected OED biopsy samples from 17 patients with high risk OED lesions: 10 lesions transformed and 7 did not over a follow-up period of more than 3 years. FTIR spectra were collected from routine, unstained histopathological sections and machine learning used to predict malignant transformation, irrespective of OED classification. PCA-LDA (principal component analysis followed by linear discriminant analysis) provided evidence that the subsequent transforming status of these 17 lesions could be predicted from FTIR data with a sensitivity of 79 ± 5% and a specificity of 76 ± 5%. Six key wavenumbers were identified as most important in this classification. Although this pilot study used a small cohort, the strict inclusion criteria and classification based on known outcome, rather than OED grade, make this a novel study in the field of FTIR in oral cancer and support the clinical potential of this technology in the surveillance of OED.

Item Type: Article
Uncontrolled Keywords: Humans, Mouth Neoplasms, Cell Transformation, Neoplastic, Precancerous Conditions, Hyperplasia, Spectroscopy, Fourier Transform Infrared, Retrospective Studies, Pilot Projects
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences > School of Dentistry
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 18 Mar 2022 15:30
Last Modified: 18 Jan 2023 21:10
DOI: 10.1371/journal.pone.0266043
Open Access URL: https://journals.plos.org/plosone/article?id=10.13...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3151056