scholarly article | Q13442814 |
P50 | author | Zhou Liqun | Q82972233 |
Gengyan Xiong | Q85234378 | ||
Cong Huang | Q91954579 | ||
Gang Song | Q91954584 | ||
P2093 | author name string | He Wang | |
Jie Li | |||
Zhongcheng Xin | |||
Yu Fan | |||
Dong Fang | |||
Yuke Chen | |||
Guangjie Ji | |||
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | prostate cancer | Q181257 |
P304 | page(s) | 6368309 | |
P577 | publication date | 2018-09-12 | |
P1433 | published in | BioMed Research International | Q17509958 |
P1476 | title | MultiParametric Magnetic Resonance Imaging-Based Nomogram for Predicting Prostate Cancer and Clinically Significant Prostate Cancer in Men Undergoing Repeat Prostate Biopsy | |
P478 | volume | 2018 |
Q92345413 | Multivariate risk prediction tools including MRI for individualized biopsy decision in prostate cancer diagnosis: current status and future directions |
Q95261299 | Predictive model using prostate MRI findings can predict candidates for nerve sparing radical prostatectomy among low-intermediate risk prostate cancer patients |
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