Loading...
Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).
Traynor, Damien Duraipandian, Shiyamala Bhatia, Ramya Cuschieri, Kate Tewari, Prerna Kearney, Padraig D'Arcy, Tom O'Leary, John J Martin, Cara M Lyng, Fiona M
Traynor, Damien
Duraipandian, Shiyamala
Bhatia, Ramya
Cuschieri, Kate
Tewari, Prerna
Kearney, Padraig
D'Arcy, Tom
O'Leary, John J
Martin, Cara M
Lyng, Fiona M
Advisors
Editors
Other Contributors
Departments
Date
2022-04-06
Date Submitted
Keywords
HPV
Raman spectroscopy
ThinPrep
cervical intraepithelial neoplasia (CIN)
cervical precancer
cytology
exfoliated cells
Raman spectroscopy
ThinPrep
cervical intraepithelial neoplasia (CIN)
cervical precancer
cytology
exfoliated cells
Other Subjects
Subject Mesh
Planned Date
Start Date
Collaborators
Principal Investigators
Files
Loading...
cancers-14-01836.pdf
Adobe PDF, 1.66 MB
Alternative Titles
Publisher
Abstract
The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (n = 662) (326 negative, 200 cervical intraepithelial neoplasia (CIN)1 and 136 CIN2+) were obtained as a training set. Raman spectra were recorded from single-cell nuclei and subjected to a partial least squares discriminant analysis (PLSDA). In addition, the PLSDA classification model was validated using a blinded independent test set (n = 69). A classification accuracy of 91.3% was achieved with only six of the blinded samples misclassified. This study showed the potential clinical utility of Raman spectroscopy with a good classification of negative, CIN1 and CIN2+ achieved in an independent test set.
Language
en
Citation
ISSN
2072-6694
eISSN
ISBN
DOI
10.3390/cancers14071836
PMID
35406608