Biparametric MR signal characteristics can predict histopathological measures of prostate cancer
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-022-08808-1.pdf
Reference45 articles.
1. Scialpi M, D’Andrea A, Martorana E et al (2017) Biparametric MRI of the prostate. Turk J Urol 43:401
2. Cuocolo R, Verde F, Ponsiglione A et al (2021) Clinically significant prostate cancer detection with biparametric MRI: a systematic review and meta-analysis. AJR Am J Roentgenol 216:608–621
3. Turkbey B, Mani H, Shah V et al (2011) Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds. J Urol 186:1818–1824
4. Siddiqui MM, Rais-Bahrami S, Turkbey B et al (2015) Comparison of MR/ultrasound fusion–guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer. JAMA 313:390–397
5. Ahdoot M, Wilbur AR, Reese SE et al (2020) MRI-targeted, systematic, and combined biopsy for prostate cancer diagnosis. N Engl J Med 382:917–928
Cited by 2 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. Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases;Urologic Clinics of North America;2024-02
2. Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancer;European Radiology;2023-07-31
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