Document Type

Conference Paper

Disciplines

Biophysics, 3. MEDICAL AND HEALTH SCIENCES

Publication Details

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12392/1239205/The-clinical-transferability-of-Raman-micro-spectroscopic-systems-for-cervical/10.1117/12.2648316.short?SSO=1

Shaikh,R., Loughlin, S. & Malkin, A. The clinical transferability of Raman micro-spectroscopic systems for cervical cytopathology. Proceedings Volume 12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023; San Francisco, California, United States.

https://doi.org/10.1117/12.2648316

Abstract

The clinical potential for Raman microscopic systems is well established for early diagnosis via cytology. Although Raman systems offer a complementary diagnostic tool providing molecular information, it is not yet utilised substantially in clinics. A few challenges for the clinical implementation of Raman spectroscopy are system and user variability. In this study, we asked how much variability occurs due to different Raman systems or users. To address these questions, we measured the same set of cells using two different Raman microscopes and by two different users. And classification models were generated using multivariate partial least squares discriminant analysis (PLS-DA) and analysed for clinical implementation. Raman spectra were measured from single exfoliated cells (n=400) from ThinPrep samples with negative cytology (n=10) and high-grade cytology (n=10). Raman spectra were acquired from the same set of cells via two identical HORIBA Jobin Yvon XploRATM systems (Villeneuve d'Ascq, France), as well as two different users. The Raman data was subjected to PLS-DA and cross-validated via leave-one-patient out. The study's findings suggest that the data acquired from the two Raman systems are 99% identical. However, the observed classification accuracy for the data obtained by user-1 was 92%, whereas by user-2 was 99%.

DOI

https://doi.org/10.1117/12.2648316

Funder

Horizon 2020 and Enterprise Ireland (Project ID MF20210189).

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 International License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.


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