Combining high wavenumber and fingerprint Raman spectroscopy for the detection of prostate cancer during radical prostatectomy.

Content Provider	Europe PMC
Author	Aubertin, Kelly Desroches, Joannie Jermyn, Michael Trinh, Vincent Quoc Saad, Fred Trudel, Dominique Leblond, Frédéric
Copyright Year	2018
Abstract	For prostate cancer (PCa) patients, radical prostatectomy (complete removal of the prostate) is the only curative surgical option. To date, there is no clinical technique allowing for real-time assessment of surgical margins to minimize the extent of residual cancer. Here, we present a tissue interrogation technique using a dual excitation wavelength Raman spectroscopy system capable of sequentially acquiring fingerprint (FP) and high wavenumber (HWN) Raman spectra. Results demonstrate the ability of the system to detect PCa in post-prostatectomy specimens. In total, 477 Raman spectra were collected from 18 human prostate slices. Each area measured with Raman spectroscopy was characterized as either normal or cancer based on histopathological analyses, and each spectrum was classified based on supervised learning using support vector machines (SVMs). Based on receiver operating characteristic (ROC) analysis, FP (area under the curve [AUC] = 0.89) had slightly superior cancer detection capabilities compared with HWN (AUC = 0.86). Optimal performance resulted from combining the spectral information from FP and HWN (AUC = 0.91), suggesting that the use of these two spectral regions may provide complementary molecular information for PCa detection. The use of leave-one-(spectrum)-out (LOO) or leave-one-patient-out (LOPO) cross-validation produced similar classification results when combining FP with HWN. Our findings suggest that the application of machine learning using multiple data points from the same patient does not result in biases necessarily impacting the reliability of the classification models.
Journal	Biomedical Optics Express
Volume Number	9
PubMed Central reference number	PMC6157766
Issue Number	9
PubMed reference number	30615702
e-ISSN	21567085
DOI	10.1364/BOE.9.004294
Language	English
Publisher	Optical Society of America
Publisher Date	2018-08-15
Access Restriction	Open
Rights License	© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Subject Keyword	(170.5660) Raman spectroscopy (170.3880) Medical and biological imaging (170.6935) Tissue characterization (170.4580) Optical diagnostics for medicine
Content Type	Text
Resource Type	Article
Subject	Biotechnology Atomic and Molecular Physics, and Optics