Urology

How to manage a partial detachment of the ureter during robotic radical prostatectomy?

The management of a ureteral orifice injury occurring during robotic radical prostatectomy (RARP) represents a challenge for urologists. Several techniques have been proposed to treat an intraoperative injury, but intraoperative positioning of a DJ stent represents the most common treatment in cases of a partial injury of the ureteral orifice. We present a technique to ensure the successful outcom...

Robotic perineal radical prostatectomy in a patient with a pre-existing three piece inflatable penile prosthesis.

Radical prostatectomy (RP) is the primary and standard treatment for localized prostate cancer. As in many surgical procedures, RP can now be accomplished through minimally invasive methods. RP in a patient with a pre-existing 3-piece inflatable penile prosthesis (IPP) is an exceptional condition and involves coping with many difficulties. In this case report, we aimed to present a patient with pr...

Robot-assisted radical cystectomy: Review of surgical technique, and perioperative, oncological and functional outcomes.

Since the introduction of robot-assisted radical cystectomy, efforts have been made to meet the standards in terms of perioperative safety and oncolog...

Classification of glomerular hypercellularity using convolutional features and support vector machine.

Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, and are responsible for blood filtration. Glomerula...

Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks.

PURPOSE: To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)-guided prostate externa...

A fast deep learning approach for beam orientation optimization for prostate cancer treated with intensity-modulated radiation therapy.

PURPOSE: Beam orientation selection, whether manual or protocol-based, is the current clinical standard in radiation therapy treatment planning, but i...

Machine learning with autophagy-related proteins for discriminating renal cell carcinoma subtypes.

Machine learning techniques have been previously applied for classification of tumors based largely on morphological features of tumor cells recognize...

Upstaging to pT3a disease in patients undergoing robotic partial nephrectomy for cT1 kidney cancer: Outcomes and predictors from a multi-institutional dataset.

OBJECTIVES: Surgically treated clinical T1 (cT1) kidney cancer has in general a good prognosis, but there is a risk of upstaging that can potentially ...

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT.

Segmentation is fundamental to medical image analysis. Recent advances in fully convolutional networks has enabled automatic segmentation; however, hi...

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.

PURPOSE: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign renal mass and malignant tumor...

Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence.

Nonmuscle-invasive bladder cancer has a relatively high postoperative recurrence rate despite the implementation of conventional treatment methods. C...

Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques.

Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performanc...

Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.

BACKGROUND: Optimal detection and surveillance of bladder cancer (BCa) rely primarily on the cystoscopic visualization of bladder lesions. AI-assisted...

Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system.

PURPOSE: The delivery of precision medicine is a primary objective for both clinical and translational investigators. Patients with newly diagnosed pr...

Current Status of Pediatric Robot-Assisted Surgery in Italy: Epidemiologic National Survey and Future Directions.

Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the diffusion of pediatric RAS in Italy, the training per...

Differentiation of Small (≤ 4 cm) Renal Masses on Multiphase Contrast-Enhanced CT by Deep Learning.

This study evaluated the utility of a deep learning method for determining whether a small (≤ 4 cm) solid renal mass was benign or malignant on multi...

The Singularity is Near(ish): Emerging Applications of Artificial Intelligence in Prostate Cancer Management.

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.

BACKGROUND: The Gleason score is the strongest correlating predictor of recurrence for prostate cancer, but has substantial inter-observer variability...

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Addi...

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Prostate cancer represents today the most typical example of a pathology whose diagnosis requires multiparametric imaging, a strategy where multiple i...