The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer | Zendy

Yudong Cao | Zendy; Min Cao | Zendy; Yuke Chen | Zendy; Wei Yu | Zendy; Yu Fan | Zendy; Qing Liu | Zendy; Ge Gao | Zendy; Zheng Zhao | Zendy; Xiaoying Wang | Zendy; Jie Jin | Zendy

Open Access

The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer

Author(s) -

Yudong Cao,

Min Cao,

Yuke Chen,

Wei Yu,

Yu Fan,

Qing Liu,

Ge Gao,

Zheng Zhao,

Xiaoying Wang,

Jie Jin

Publication year - 2017

Publication title -

oncotarget

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.373

H-Index - 127

ISSN - 1949-2553

DOI - 10.18632/oncotarget.17182

Subject(s) - medicine , nomogram , prostate cancer , prostate , multivariate analysis , magnetic resonance imaging , prostatectomy , rectal examination , univariate analysis , univariate , multivariate statistics , biopsy , prostate specific antigen , radiology , urology , nuclear medicine , cancer , oncology , mathematics , statistics

To evaluate the auxiliary effectiveness of periprostatic fat thickness (PPFT) on multi-parametric magnetic resonance imaging (mp-MRI) to Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) in predicting the presence of prostate cancer (PCa) and high-grade prostate cancer (HGPCa, Gleason Score ≥ 7).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research