Urology

Development of a Ready-to-Use Graphical Tool Based on Artificial Neural Network Classification: Application for the Prediction of Late Fecal Incontinence After Prostate Cancer Radiation Therapy.

PURPOSE: This study was designed to apply artificial neural network (ANN) classification methods for the prediction of late fecal incontinence (LFI) after high-dose prostate cancer radiation therapy and to develop a ready-to-use graphical tool.

Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex renovascular, ureteral, or malignant pathologies that are not amenable to in situ reconstruction. A minimally invasive approach could broaden its adoption.

Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.

OBJECTIVES: To train and compare machine-learning algorithms with traditional regression analysis for the prediction of early biochemical recurrence a...

Robotic Donor Nephrectomy: Against.

The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ischemia time without clear advantages, and the co...

Top-Down Fabricated Silicon Nanowire Arrays for Field-Effect Detection of Prostate-Specific Antigen.

Highly sensitive electrical detection of biomarkers for the early stage screening of cancer is desired for future, ultrafast diagnostic platforms. In ...

Association Between Serum Testosterone and Serum PSA Among Men With and Without Partial Androgen Deficiency.

Serum prostatic specific antigen (PSA) and serum testosterone levels share an undefined relationship with each other, with many conflicting studies sh...

Quantitative MRI or Machine Learning for Prostate MRI: Which Should You Use?

Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.

Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment f...

Correlation of Prostate Cancer CHD1 Status with Response to Androgen Deprivation Therapy: a Pilot Study.

INTRODUCTION: CHD1 has been identified as a tumor suppressor gene in prostate cancer. Previous studies have shown strong associations between CHD1 del...

Automated 4-Sample Protein Immunoassays using 3D-Printed Microfluidics.

Low cost, miniaturized assay platforms that work with small sample volumes, high sensitivity and rapid detection will have high value in future biomol...

Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis.

Objective: The aim of this study was to determine the diagnostic accuracy of different machine learning algorithms for breast cancer risk calculation....

Distribution based Fuzzy Estimate Spectral Clustering for Cancer Detection with Protein Sequence and Structural Motifs.

Objective: In biological data analysis, protein sequence and structural motifs are an amino-acid sequence patterns that are widespread and used as too...

An End-to-End System for Automatic Urinary Particle Recognition with Convolutional Neural Network.

The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Man...

Quality of life with conservative care compared with assisted peritoneal dialysis and haemodialysis.

BACKGROUND: There is little information about quality of life (QoL) for patients with end-stage kidney disease (ESKD) choosing conservative kidney man...

A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones.

PURPOSE: The aim of this study was to develop and validate a decision support model using a machine learning algorithm to predict treatment success af...

Re: The Impact of Implementation of the European Association of Urology Guidelines Panel Recommendations on Reporting and Grading Complications on Perioperative outcomes after Robot-assisted Radical Prostatectomy.

Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.

In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automated cell/nucleus segmentation. Automated granular o...

Hepatoid Variant of Yolk Sac Tumor of Both Ovaries with Widespread Intraabdominal and Lung Metastasis: A Case Report.

Hepatoid variant of yolk sac tumor of ovary is an unusual tumor with an aggressive behavior. It is usually observed in young females, presents with ab...

Re: Giorgio Gandaglia, Carlo Andrea Bravi, Paolo Dell'Oglio, et al. The Impact of Implementation of the European Association of Urology Guidelines Panel Recommendations on Reporting and Grading Complications on Perioperative Outcomes after Robot-assisted Radical Prostatectomy. Eur Urol 2018;74:4-7.

Adverse Outcomes due to Aggressive Fluid Resuscitation in Children: A Prospective Observational Study.

Fluid management has a major impact on the duration, severity, and outcome of critically ill children. The aim of this study was to examine the relati...