Proof of concept clinical study for the rapid diagnosis of Lung cancer from pleural fluid using label free SERS based chemometric approach

Jayakumar Perumal; Kapil Dev; Pyng Lee; Hann Qian Lim; Dinish U.S.; Malini Olivo

doi:10.1117/12.2579297

5 March 2021 Proof of concept clinical study for the rapid diagnosis of Lung cancer from pleural fluid using label free SERS based chemometric approach

Jayakumar Perumal, Kapil Dev, Pyng Lee, Hann Qian Lim, Dinish U.S., Malini Olivo

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Proceedings Volume 11655, Label-free Biomedical Imaging and Sensing (LBIS) 2021; 1165511 (2021) https://doi.org/10.1117/12.2579297
Event: SPIE BiOS, 2021, Online Only

Abstract

We report a label-free Surface Enhanced Raman Spectroscopy (SERS) for pleural fluid analysis to distinguish Lung cancer from controls patients. Herein, we have used a novel silver coated silicon Nanopillar (SCSNP) as SERS substrate to acquire multiple SERS spectra for each pleural fluid sample and advanced chemometrics methods. We report a classification accuracy of 85% along with sensitivity and specificity of 87% and 83% respectively for the detection of Lung cancer over control pleural fluid samples with a receiver operating characteristics (ROC) area under curve value of 0.92 using PLS-DA binary classifier to distinguish between lung cancer over control subjects.

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Citation Download Citation

Jayakumar Perumal, Kapil Dev, Pyng Lee, Hann Qian Lim, Dinish U.S., and Malini Olivo "Proof of concept clinical study for the rapid diagnosis of Lung cancer from pleural fluid using label free SERS based chemometric approach", Proc. SPIE 11655, Label-free Biomedical Imaging and Sensing (LBIS) 2021, 1165511 (5 March 2021); https://doi.org/10.1117/12.2579297

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