Surface-enhanced Raman spectroscopy + support vector machine: A new noninvasive method for prostate cancer screening? - Abstract

Prostate cancer is one of the most common malignancies of the older males worldwide.

Early diagnosis and treatment are important to improve the survival of patients. Recently, we developed a new method for prostate cancer screening: by measuring the serum surface-enhanced Raman spectroscopy of prostate cancer patients and normal subjects, combining with classification algorithms of support vector machines, the measured surface-enhanced Raman spectroscopy spectra are successfully classified with accuracy of 98.1%. Although the practical application faces several difficulties, we believe that this label-free serum surface-enhanced Raman spectroscopy analysis technique combined with support vector machine diagnostic algorithms will become a powerful tool for noninvasive prostate cancer screening in the future.

Written by:
Li S, Guo Z, Liu Z.   Are you the author?
Biomedical Engineering Laboratory, Guangdong Medical College, Dongguan 523808, China.

Reference: Expert Rev Anticancer Ther. 2015 Jan;15(1):5-7.
doi: 10.1586/14737140.2015.992419

PubMed Abstract
PMID: 25525666 Prostate Cancer Section