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Prostatic Neoplasms

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A nomogram to predict pathologic T2 stage in candidates to robot-assisted radical prostatectomy with iT3 prostate cancer on preoperative multiparametric MRI: results from a multi-institutional collaboration.

Minerva urology and nephrology
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate cancer on preoperative MRI, the performance of MRI for local staging is demonstrably suboptimal, and currently no prediction tools that might help surgeo...

Perioperative Red Cell Line Trend following Robot-Assisted Radical Prostatectomy for Prostate Cancer.

Medicina (Kaunas, Lithuania)
Background and Objective: Blood loss represents a long-standing concern of radical prostatectomy (RP). This study aimed to assess how red line cell values changed following robot-assisted radical prostatectomy (RARP) for prostate cancer (PCa). Materi...

Survival analysis of localized prostate cancer with deep learning.

Scientific reports
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic Health Record data found in the U.S. Department of Veterans Affairs, the largest integrated healthca...

Comparison of Early Urinary Continence, Oncological Outcomes, and Postoperative Complications in Retzius-Sparing and Standard Approach Robot-Assisted Radical Prostatectomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The aim of the study is to compare the results of early urinary continence (UC), pathological results, console time (CT), and perioperative morbidity in patients who underwent transperitoneal robot-assisted radical prostatectomy (TR-RARP) and Retziu...

Optimisation and validation of a co-manipulated robot for brachytherapy procedure.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Low-dose rate brachytherapy is the referent treatment for early-stage prostate cancer and consists in manually inserting radioactive seeds within the organ to destroy tumorous cells. This treatment is inaccurate leading to side effects. R...

Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning.

Physical and engineering sciences in medicine
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetric modulated arc therapy (VMAT) quality assurance (QA) for prostate cancer using a convolutional neural network (CNN) with the 3D dose distribution. On...