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