Diagnostic value of combining PI-RADS v2.1 with PSAD in clinically significant prostate cancer-Reference-Cited by-同舟云学术

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Diagnostic value of combining PI-RADS v2.1 with PSAD in clinically significant prostate cancer

Published:2022-07-05 Issue:10 Volume:47 Page:3574-3582
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Wei Xiaoting,Xu Jianmin,Zhong Shuyuan,Zou Jinsen,Cheng Zhiqiang,Ding Zhiguang,Zhou Xuhui

Publisher

Springer Science and Business Media LLC

Subject

Urology,Gastroenterology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s00261-022-03592-4.pdf

Reference28 articles.

1. Miller KD, Nogueira L, Mariotto AB, et al. Cancer treatment and survivorship statistics, 2019. CA Cancer J Clin. 2019;69(5):363-385. https://doi.org/10.3322/caac.21565

2. Pang C, Guan Y, Li H, Chen W and Zhu G. Urologic cancer in China. Japanese Journal of Clinical Oncology. 2016;46(6):497.

3. Dong L, Zieren RC, Xue W, de Reijke TM and Pienta KJ. Metastatic prostate cancer remains incurable, why? Asian J Urol. 2019;6(1):26-41. https://doi.org/10.1016/j.ajur.2018.11.005

4. Tamada T, Sone T, Jo Y, et al. Apparent diffusion coefficient values in peripheral and transition zones of the prostate: comparison between normal and malignant prostatic tissues and correlation with histologic grade. J Magn Reson Imaging. 2008;28(3):720-726. https://doi.org/10.1002/jmri.21503

5. Mottet N, van den Bergh RCN, Briers E, et al. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol. 2021;79(2):243-262. https://doi.org/10.1016/j.eururo.2020.09.042

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

3. Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models;Medical & Biological Engineering & Computing;2024-06-07

4. T2-weighted imaging-based deep-learning method for noninvasive prostate cancer detection and Gleason grade prediction: a multicenter study;Insights into Imaging;2024-05-07

5. Magnetic Resonance Imaging, Clinical, and Biopsy Findings in Suspected Prostate Cancer;JAMA Network Open;2024-03-29

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