Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4-10 ng/mL

被引:64
作者
Chen, Na [1 ]
Rong, Ming [1 ]
Shao, Xiaoguang [2 ]
Zhang, Heng [1 ]
Liu, Shupeng [1 ,3 ]
Dong, Baijun [2 ]
Xue, Wei [2 ]
Wang, Tingyun [1 ]
Li, Taihao [3 ]
Pan, Jiahua [2 ]
机构
[1] Shanghai Univ, Sch Commun & Informat Engn, Key Lab Specialty Fiber Opt & Opt Access Networks, 333 Nanchen Rd, Shanghai 200444, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Ren Ji Hosp, Dept Urol, 1630 Dongfang Rd, Shanghai 200127, Peoples R China
[3] Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Technol, Beijing, Peoples R China
关键词
Ag nanoparticles; linear discriminant analysis; gray zone; principle component analysis; benign prostatic hyperplasia; spectral classification; MULTIPARAMETRIC MRI; TOTAL PSA; DIAGNOSIS; BIOPSY; SILVER; STATISTICS; PREDICTION; SCATTERING; CARCINOMA; ISOFORM;
D O I
10.2147/IJN.S137756
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The surface-enhanced Raman spectroscopy (SERS) of blood serum was investigated to differentiate between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) in males with a prostate-specific antigen level of 4-10 ng/mL, so as to reduce unnecessary biopsies. A total of 240 SERS spectra from blood serum were acquired from 40 PCa subjects and 40 BPH subjects who had all received prostate biopsies and were given a pathological diagnosis. Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA) diagnostic algorithms, were used to analyze the spectra data of serum from patients in control (CTR), PCa and BPH groups; results offered a sensitivity of 97.5%, a specificity of 100.0%, a precision of 100.0% and an accuracy of 99.2% for CTR; a sensitivity of 90.0%, a specificity of 97.5%, a precision of 94.7% and an accuracy of 98.3% for BPH; a sensitivity of 95.0%, a specificity of 93.8%, a precision of 88.4% and an accuracy of 94.2% for PCa. Similarly, this technique can significantly differentiate low-and high-risk PCa with an accuracy of 92.3%, a specificity of 95% and a sensitivity of 89.5%. The results suggest that analyzing blood serum using SERS combined with PCA-LDA diagnostic algorithms is a promising clinical tool for PCa diagnosis and assessment.
引用
收藏
页码:5399 / 5407
页数:9
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