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: 0000-0001-7027-8997, 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-.
ISSN 1932-6203, 1932-6203
Text
Ellis et al PLOS ONE final.pdf - Author Accepted Manuscript Download (687kB) | Preview |
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 |
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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: | 06 Dec 2024 20:10 |
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 |