Background And Objective: Prostate cancer (PC) heterogeneity can result in sampling discrepancies during biopsy, leading to inaccurate molecular classifications that affect treatment decisions. We evaluated transcriptomic profile variability between multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy (TBx) and systematic biopsy (SBx) methods using the Decipher GRID platform.
Methods: The study included 205 men from the MAST trial.
Background And Objective: Focal therapy is increasingly being used as a treatment for localized prostate cancer (PC). Our aim was to evaluate oncological outcomes, recurrence patterns, and survival after high-intensity focused ultrasound (HIFU), to discuss the lessons learned from our experience, and to propose strategies to enhance patient selection for HIFU treatment.
Methods: Between 2016 and 2023, 113 patients underwent focal HIFU treatment for PC.
Purpose: The goal of this systematic review is to assess the temporal changes in outcomes and complications of transurethral resection of the prostate (TURP) from 2000 to 2022.
Methods: We conducted a systematic review and meta-analysis of 103 randomized clinical trials from PubMed on TURP, involving 8521 patients. Studies were grouped by years: 2000-2004, 2005-2009, 2010-2014, and 2015-2022.
Objectives: We aim to compare efficacy and safety of water vapour therapy (Rezūm), transurethral needle ablation (TUNA) and transurethral microwave therapy (TUMT) for treating men with moderate to severe benign prostatic hyperplasia (BPH) symptoms.
Materials: PubMed/MEDLINE, EMBASE and Cochrane Library were searched from inception to 30 July 2023, followed by reference searching and dual-independent study selection. We analysed only randomized clinical trials.
Suturing skill scores have demonstrated strong predictive capabilities for patient functional recovery. The suturing can be broken down into several substep components, including needle repositioning, needle entry angle, etc. Artificial intelligence (AI) systems have been explored to automate suturing skill scoring.
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