Prostate cancer is the main cause of death over the globe. Earlier detection and classification of cancer is highly important to improve patient health. Previous studies utilized statistical and machine learning (ML) techniques for prostate cancer de...
BACKGROUND: The field of robotic surgery has seen significant advancements in the past few years and it has been adopted in many large hospitals in the United States and worldwide as a standard for various procedures in recent years. However, the loc...
INTRODUCTION AND OBJECTIVES: This study aims to investigate the relationship between perineural invasion (PNI) in targeted (TBx) and/or systematic (SBx) prostate needle biopsy and adverse pathological features of prostate cancer (PCa) in prostatectom...
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Mar 3, 2022
The objective of this study was to evaluate the safety and feasibility of Tc-based prostate-specific membrane antigen (PSMA) robot-assisted-radioguided surgery to aid or improve the intraoperative detection of lymph node metastases during primary rob...
Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologist. Deep Learning (DL) systems have shown promise in enhancing the objectivity and efficiency of Glea...
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachytherapy faces challenges relating to imaging noise and artifacts. To date, catheter reconstruction during the clinical procedure is performed manually. De...
INTRODUCTION AND OBJECTIVES: We aim to compare the first year oncological and functional outcomes of Retzius-sparing robot-assisted radical prostatectomy (Rs-RARP) and standard robot-assisted radical prostatectomy (RARP).
INTRODUCTION: The ReIMAGINE Consortium was conceived to develop risk-stratification models that might incorporate the full range of novel prostate cancer (PCa) diagnostics (both commercial and academic).
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