Due to the cross-domain distribution shift aroused from diverse medical imaging systems, many deep learning segmentation methods fail to perform well on unseen data, which limits their real-world applicability. Recent works have shown the benefits of...
PURPOSE: Routine multiparametric MRI of the prostate reduces overtreatment and increases sensitivity in the diagnosis of the most common solid cancer in men. However, the capacity of MRI systems is limited. Here we investigate the ability of deep lea...
The present study aimed to explore the potential of artificial intelligence (AI) methodology based on magnetic resonance (MR) images to aid in the management of prostate cancer (PCa). To this end, we reviewed and summarized the studies comparing the ...
CONTEXT: Robot-assisted radical prostatectomy (RARP) has largely replaced conventional laparoscopic radical prostatectomy (LRP) even though the costs are significantly higher. Justification for this change is the hope for better postoperative functio...
PURPOSE OF REVIEW: Objective of our work is to provide an update of the state of the art concerning Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and to give a possible vision on the future developments of this new approach.
PURPOSE: We created a clinically applicable nomogram to predict locally advanced prostate cancer using preoperative parameters and performed external validation using an external independent validation cohort.
Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three options for localized prostate cancer. Only a few studies have been conducted in developing countries or in centers in their initial learning curve that...
INTRODUCTION: The aim of this study was to investigate and compare clinical safety and efficiency of Thulium laser enucleation of the prostate (ThuLEP) and robot-assisted simple prostatectomy (RASP) for the treatment of large gland benign prostatic h...
BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among less-experienced readers.
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