Age-Specific Cutoff Value for the Application of Percent Free Prostate-Specific Antigen (PSA) in Chinese Men with Serum PSA Levels of 4.0

Age-Specific Cutoff Value for the Application of Percent Free Prostate-Specific Antigen (PSA) in Chinese Men with Serum PSA Levels of 4.0–10.0 ng/ml

Published:2015-06-19 Issue:6 Volume:10 Page:e0130308
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Chen Rui,Huang Yiran,Cai Xiaobing,Xie Liping,He Dalin,Zhou Liqun,Xu Chuanliang,Gao Xu,Ren Shancheng,Wang Fubo,Ma Lulin,Wei Qiang,Yin Changjun,Tian Ye,Sun Zhongquan,Fu Qiang,Ding Qiang,Zheng Junhua,Ye Zhangqun,Ye Dingwei,Xu Danfeng,Hou Jianquan,Xu Kexin,Yuan Jianlin,Gao Xin,Liu Chunxiao,Pan Tiejun,Sun Yinghao,

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference23 articles.

1. Cancer statistics, 2013;R Siegel;CA: a cancer journal for clinicians,2013

2. International variation in prostate cancer incidence and mortality rates;MM Center;European urology,2012

3. Zhao P, Chen W. Chinese Cancer Registry Annual Report, 2004. Peking Union Medical College press. 2008.

4. He. J. CW. Chinese Cancer Registry Annual Report 2012. China Military Medical Science Press. 2013.

5. Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial. JAMA: the journal of the;WJ Catalona;American Medical Association,1998

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone;Cancer Imaging;2023-09-04

2. Association Between Statin Exposure and Incidence and Prognosis of Prostate Cancer;American Journal of Clinical Oncology;2023-05-05

3. MRI-Based Radiomics Nomogram for Predicting Prostate Cancer with Gray-Zone Prostate-Specific Antigen Levels to Reduce Unnecessary Biopsies;Diagnostics;2022-12-01

4. Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study;Scientific Reports;2022-09-06

5. Improving the diagnosis of prostate cancer by telomerase-positive circulating tumor cells: A prospective pilot study;eClinicalMedicine;2022-01