Data · dataset · 2022
Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra
Listed in University of Liverpool Research Data Catalogue
Oral epithelial dysplasia (OED) is a histopathologically-defined, potentially premalignant condition of the oral cavity.
Description
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.
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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.
Links
Where it is published
- datacat.liverpool.ac.uk /1622/17/README.docx ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/19/Hyperspectral_non-transformers.zip ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/3/example.py ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/12/paper_data%5B1%5D.csv ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/2/wn.npy ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/7/H%26E_images_non-transformers.zip ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/8/H%26E_images_transformers%281%29.zip ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/9/H%26E_images_transformers%282%29.zip ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- datacat.liverpool.ac.uk /1622/16/Hyperspectral_transformers.zip ↗
University of Liverpool Research Data Catalogue record
landing page · from datacat liverpool ac uk
- DOI doi.org/10.17638/datacat.liverpool.ac.uk/1622 ↗
DOI / persistent id · from datacat liverpool ac uk
Catalogue records · 1
- OAI-PMH record datacat.liverpool.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from datacat liverpool ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Cancer 75% · Microscopy 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| University of Liverpool Research Data Catalogue | oai:datacat.liverpool.ac.uk:1622 | 13 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · datacat liverpool ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · datacat liverpool ac uk | connector:datacat_liverpool_ac_uk@1.0.0 | |
| concepts[modality].local:modality:microscopy | enrichment · datacat liverpool ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · datacat liverpool ac uk | connector:datacat_liverpool_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · datacat liverpool ac uk | connector:datacat_liverpool_ac_uk@1.0.0 | |
| publication_date | source · datacat liverpool ac uk | connector:datacat_liverpool_ac_uk@1.0.0 | |
| title | source · datacat liverpool ac uk | connector:datacat_liverpool_ac_uk@1.0.0 | /metadata/dc/title |