Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones-Reference-Cited by-同舟云学术

Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones

Published:2021-11-25 Issue:2 Volume:54 Page:263-271
ISSN:0301-1623
Container-title:International Urology and Nephrology
language:en
Short-container-title:Int Urol Nephrol

Author:

Gaudiano Caterina^ORCID,Bianchi Lorenzo,Corcioni Beniamino,Giunchi Francesca,Schiavina Riccardo,Ciccarese Federica,Braccischi Lorenzo,Rustici Arianna,Fiorentino Michelangelo,Brunocilla Eugenio,Golfieri Rita

Publisher

Springer Science and Business Media LLC

Subject

Urology,Nephrology

Link

https://link.springer.com/content/pdf/10.1007/s11255-021-03071-7.pdf

Reference33 articles.

1. Fandella A, Scattoni V, Galosi A, Pepe P et al (2017) Italian prostate biopsies group: 2016 updated guidelines insights. Anticancer Res 37(2):413–424. https://doi.org/10.21873/anticanres.11333

2. Schiavina R, Chessa F, Borghesi M et al (2019) State-of-the-art imaging techniques in the management of preoperative staging and re-staging of prostate cancer. Int J Urol 26(1):18–30. https://doi.org/10.1111/iju.13797

3. Hamoen EHJ, de Rooij M, Witjes JA, Barentsz JO, Rovers MM (2015) Use of the prostate imaging reporting and data system (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis. Eur Urol 67(6):1112–1121. https://doi.org/10.1016/j.eururo.2014.10.033

4. Zhang L, Tang M, Chen S, Lei X, Zhang X, Huan Y (2017) A meta-analysis of use of prostate imaging reporting and data system version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer. Eur Radiol 27(12):5204–5214. https://doi.org/10.1007/s00330-017-4843-7

5. Ahmed HU, El-Shater Bosaily A, Brown LC et al (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389(10071):815–822. https://doi.org/10.1016/S0140-6736(16)32401-1

Cited by 4 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. Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis;Radiology;2024-08-01

2. An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre Experience;Cancers;2023-06-30

3. Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging;Frontiers in Oncology;2023-02-20

4. New Diagnostic Model for Clinically Significant Prostate Cancer in Biopsy-Naïve Men With PIRADS 3;Frontiers in Oncology;2022-07-04