Utility of serum biomarkers for predicting cancer in patients with previous negative prostate biopsy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology
Link
https://link.springer.com/content/pdf/10.1007/s00345-022-04085-1.pdf
Reference26 articles.
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2. Bjurlin M, Wysock J, Sakar S, Venkataraman R, Meng X, Fenstermaker M et al. 2015 MP86–03 prediction of overall and clinically significant cancer risk on mri-targeted and systematic prostate biopsy using prebiopsy nomograms. Journal of Urology 193(4S).
3. Kuru T, Roethke M, Rieker P, Roth W, Fenchel M, Hohenfellner M et al (2013) Histology core-specific evaluation of the European Society of Urogenital Radiology (ESUR) standardised scoring system of multiparametric magnetic resonance imaging (mpMRI) of the prostate. BJU Int 112(8):1080–1087
4. NiMhurchu E, O’Kelly F, Murphy I, Lavelle L, Collins C, Lennon G et al (2016) Predictive value of PI-RADS classification in MRI-directed transrectal ultrasound guided prostate biopsy. Clin Radiol 71(4):375–380
5. Liddell H, Jyoti R, Haxhimolla H (2015) mp-MRI prostate characterised PIRADS 3 lesions are associated with a low risk of clinically significant prostate cancer - a retrospective review of 92 biopsied PIRADS 3 lesions. Curr Urol 8(2):96–100
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1. Predictive value of magnetic resonance imaging diffusion parameters using artificial intelligence in low-and intermediate-risk prostate cancer patients treated with stereotactic ablative radiotherapy: A pilot study;Radiography;2024-05
2. Significant Prostate Cancer in Patients with PI-RADS Category 3 Lesions: A Single-Center, Retrospective Cohort Study;UROL J;2023
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