AIMC Topic: Prostate

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Prediction of biochemical recurrence after robot-assisted radical prostatectomy: analysis of 784 Japanese patients.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To examine biochemical recurrence after robot-assisted radical prostatectomy in Japanese patients, and to develop a risk stratification model for biochemical recurrence.

Short-term results after robot-assisted laparoscopic radical prostatectomy compared to open radical prostatectomy.

European urology
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy has become a widespread technique despite a lack of randomised trials showing its superiority over open radical prostatectomy.

Anatomical dimensions using preoperative magnetic resonance imaging: impact on the learning curve of robot-assisted laparoscopic prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVE: To evaluate the impact of anatomical dimensions as measured using preoperative magnetic resonance imaging on the outcomes of robot-assisted laparoscopic prostatectomy.

Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo.

Magnetic resonance imaging
OBJECTIVES: This study aims to evaluate the feasibility and effectiveness of deep learning-based super-resolution techniques to reduce scan time while preserving image quality in high-resolution prostate diffusion-weighted imaging (DWI) with readout-...

Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet.

Computers in biology and medicine
Digital pathology relies on the morphological architecture of prostate glands to recognize cancerous tissue. Prostate cancer (PCa) originates in walnut shaped prostate gland in the male reproductive system. Deep learning (DL) pipelines can assist in ...

Optimizing clinical risk stratification of localized prostate cancer.

Current opinion in urology
PURPOSE OF REVIEW: To review the current risk and prognostic stratification systems in localised prostate cancer. To explore some of the most promising adjuncts to clinical models and what the evidence has shown regarding their value.