Urology

Prediction of significant renal function decline after open, laparoscopic, and robotic partial nephrectomy: External validation of the Martini's nomogram on the RECORD2 project cohort.

OBJECTIVES: Martini et al. developed a nomogram to predict significant (>25%) renal function loss after robot-assisted partial nephrectomy and identified four risk categories. We aimed to externally validate Martini's nomogram on a large, national, multi-institutional data set including open, laparoscopic, and robot-assisted partial nephrectomy.

Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypothesized that bacteria with variable bacterial densities and different Gram staining reactions would generate different speckle images. After deep lear...

Switching to a NRTI-free 2 drug regimen (2DR) -a sub-analysis of the 48 weeks DUALIS study on metabolic and renal changes.

Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse transcriptase inhibitors [NRTIs]) to a two-drug regimen...

Editorial Comment to Limited impact of erectile function on health-related quality of life in Japanese men undergoing robot-assisted radical prostatectomy.

Risk factors for postoperative ileus after robot-assisted radical cystectomy with intracorporeal urinary diversion.

OBJECTIVES: To evaluate the risk factors for postoperative ileus in patients who underwent robot-assisted radical cystectomy with intracorporeal urina...

A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies.

Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologis...

Robot-assisted techniques in vascular and endovascular surgery.

For thousands of years, robots have inspired the imagination of humans, but it was only about 35 years ago that a robot was used for the first time in...

Anti-Fatigue and Exercise Performance Improvement Effect of Extract in Mice.

(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study aimed to examine the efficacy of GT extract in ameli...

A novel convolutional neural network for kidney ultrasound images segmentation.

BACKGROUND AND OBJECTIVE: Ultrasound imaging has been widely used in the screening of kidney diseases. The localization and segmentation of the kidney...

The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.

BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachytherapy faces challenges relating to imaging noise and...

The Predictive and Prognostic Value of Precystectomy Serum Gamma-Glutamyltransferase Levels in Patients With Invasive Bladder Cancer.

INTRODUCTION: The aim of the study was to elucidate the predictive and prognostic value of serum gamma-glutamyltransferase (GGT) in patients with inva...

Comparison of Retzius-sparing versus standard robot-assisted radical prostatectomy for prostate cancer.

INTRODUCTION AND OBJECTIVES: We aim to compare the first year oncological and functional outcomes of Retzius-sparing robot-assisted radical prostatect...

The ReIMAGINE prostate cancer risk study protocol: A prospective cohort study in men with a suspicion of prostate cancer who are referred onto an MRI-based diagnostic pathway with donation of tissue, blood and urine for biomarker analyses.

INTRODUCTION: The ReIMAGINE Consortium was conceived to develop risk-stratification models that might incorporate the full range of novel prostate can...

Robotic-assisted Versus Laparoscopic Radical Prostatectomy: 12-month Outcomes of the Multicentre Randomised Controlled LAP-01 Trial.

BACKGROUND: Recently, our LAP-01 trial demonstrated superiority of robotic-assisted laparoscopic radical prostatectomy (RARP) over conventional laparo...

Reply to Francesco Montorsi, Armando Stabile, Giorgio Gandaglia, and Alberto Briganti's Letter to the Editor re: K.R. Seetharam Bhat, Marcio Covas Moschovas, Marco Sandri, et al. Outcomes of Salvage Robot-assisted Radical Prostatectomy After Focal Ablation for Prostate Cancer in Comparison to Primary Robot-assisted Radical Prostatectomy: A Matched Analysis. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.10.005: Salvage Robotic Radical Prostatectomy for Recurrence After Focal Therapy-The Truth and Consequences.

Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

Deep learning-based reconstruction (DLR) may facilitate CT radiation dose reduction, but a paucity of literature has compared lower-dose DLR images w...

Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.

Unsupervised learning of haptic material properties.

When touching the surface of an object, its spatial structure translates into a vibration on the skin. The perceptual system evolved to translate this...

Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.

Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various serious risks like cardiovascular disease, heighte...

Retzius-sparing technique independently predicts early recovery of urinary continence after robot-assisted radical prostatectomy.

Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for localised prostate cancer. We investigated factors which...