Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI.

Background And Objective: With emerging evidence to improve prostate cancer (PCa) screening, multiparametric magnetic prostate imaging is becoming an essential noninvasive component of the diagnostic routine. Computer-aided diagnostic (CAD) tools powered by deep learning can help radiologists interpret multiple volumetric images. In this work, our objective was to examine promising methods recently proposed in the multigrade prostate cancer detection task and to suggest practical considerations regarding model training in this context.

Single center retrospective analysis of fifty-two prostate cancer patients with customized MR-guided transurethral ultrasound ablation (TULSA).

Objectives: MR-guided transurethral ultrasound ablation (TULSA) has primarily been investigated for whole-gland prostate ablation, even though the technology is also well-suited for partial gland treatment. The objectives were to perform a clinical service evaluation of partial to whole-gland TULSA for patients with localized prostate cancer (CaP). TULSA was also evaluated as a combined therapy for a subset of patients presenting with both cancer and concurrent benign prostate hyperplasia (BPH).

High concordance of findings obtained from transgluteal magnetic resonance imaging - and transrectal ultrasonography-guided biopsy as compared with prostatectomy specimens.

Objectives: To determine the utility of our transgluteal magnetic resonance imaging (MRI)-guided prostate biopsy approach.

Patients And Methods: A total of 960 biopsy series, taken within the period of 1 year, were evaluated, including 301 MRI-guided and 659 transrectal ultrasonography (TRUS)-guided biopsies.

Results: The positivity rate and proportion of high grade cancers were significantly higher in MRI-guided than in TRUS-guided biopsies.