OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was t...
INTRODUCTION: The surgical treatment options for prostate cancer have changed rapidly, given the expansion of robotics. However, open retropubic radical prostatectomy (ORP) will continue to be performed in areas with financial limitations or with lim...
Advancements in artificial intelligence (AI) strengthens life-altering technology that can not only reduce human workload but also enhance speed and efficiency in medicine. Medical image segmentation, for example, MRI analysis, is an arduous task for...
BACKGROUND: Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerators (MR-Linacs) can administer a tailored radiation dose at each treatment fraction. Daily MR imaging followed by organ and target segmentation adjustm...
Biomedizinische Technik. Biomedical engineering
Nov 4, 2022
OBJECTIVES: The most crucial part in the diagnosis of cancer is severity grading. Gleason's score is a widely used grading system for prostate cancer. Manual examination of the microscopic images and grading them is tiresome and consumes a lot of tim...
We evaluated and described the impact of prostatic indocyanine green (ICG) injection on extended pelvic lymph node (LN) dissection (ePLND) in robotic-assisted radical prostatectomy (RARP). Between January 2019 and December 2021, we included consecuti...
The Hugo RAS™ is a newly launched robotic system for clinical use. This article provides the initial outcomes of patients undergoing radical prostatectomy with Hugo RAS. It also attempts to compare the outcomes with a similar set of patients undergo...
RATIONALE AND OBJECTIVES: Multiparametric magnetic resonance imaging (mpMRI) is increasingly used for risk stratification and localization of prostate cancer (PCa). Thanks to the great success of deep learning models in computer vision, the potential...
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