Urology

Analysis of trifecta outcomes in a single center with robot-assisted partial nephrectomy for T1b renal tumors.

INTRODUCTION: This study was performed to investigate the preoperative factors associated with difficulty achieving trifecta in robot-assisted partial nephrectomy for clinical T1b renal cell carcinoma.

Robot-Assisted Prostatic Utricle Reconstruction Using the Carrel Patch Principle to Preserve Fertility.

BACKGROUND: Prostatic utricle (PU) with normal external genitalia is an uncommon congenital anomaly. About 14% develop epididymitis. This rare presentation should warn involvement of the ejaculatory ducts. Minimally invasive robot-assisted utricle resection is the preferred method.

Initial Experience of Robot-Assisted Partial Nephrectomy Using Hinotori Surgical Robot System: Single Institutional Prospective Assessment of Perioperative Outcomes in 30 Cases.

Innovation of robotic surgery is still actively growing, and various novel robotic systems are in the process of development. The objective of this s...

Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.

Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose disease processes. The emergence of ever-increasing vari...

Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies.

Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated...

Simultaneous excision of pelvic lipoma and robot-assisted radical prostatectomy.

Lipoma is a benign mesenchymal tumour that can develop in any part of the body containing adipose tissue. Very few cases of pelvic lipomas have been r...

Deep learning neural network image analysis of immunohistochemical protein expression reveals a significantly reduced expression of biglycan in breast cancer.

New breast cancer biomarkers have been sought for better tumor characterization and treatment. Among these putative markers, there is Biglycan (BGN). ...

Teaching robotic cystectomy: prospective pilot clinical validation of the ERUS training curriculum.

OBJECTIVE: To provide the first clinical validation of the European Association of Urology Robotic Urology Section (ERUS) curriculum for training in r...

Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

PURPOSE: Radiation damage on neurovascular bundles (NVBs) may be the cause of sexual dysfunction after radiotherapy for prostate cancer. However, it i...

Robot-assisted radical nephroureterectomy for upper tract urothelial carcinoma: Peri and postoperative outcomes.

INTRODUCTION: The treatment of urothelial tumours of the upper urinary tract at high risk of specific mortality is based on radical nephroureterectomy...

A pair of deep learning auto-contouring models for prostate cancer patients injected with a radio-transparent versus radiopaque hydrogel spacer.

BACKGROUND: Absorbable hydrogel spacer injected between prostate and rectum is gaining popularity for rectal sparing. The spacer alters patient anatom...

Experience with an innovative surgical approach: 321 cases modified extraperitoneal single-incision robot-assisted laparoscopic radical prostatectomy without dedicated PORT based on Da Vinci SI system.

To summarize surgical experiences with a new modified technique involving extraperitoneal single-incision robot-assisted laparoscopic radical prostate...

Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery.

Several barriers prevent the integration and adoption of augmented reality (AR) in robotic renal surgery despite the increased availability of virtual...

Preoperative endogenous total testosterone predicts prostate cancer progression: results in 580 consecutive patients treated with robot assisted radical prostatectomy for clinically localized disease.

PURPOSE: To test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot as...

Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach.

Fluid balance is a critical prognostic factor for patients with severe acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT)...

Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D) System for Urological Procedures.

In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was t...

Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center.

: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To d...

Perioperative outcomes of open versus robot-assisted radical cystectomy in octogenarians: a population based analysis.

Octogenarians undergoing cystectomy experience higher morbidity and mortality compared to younger patients. Though the non-inferiority of robot-assist...

Perioperative, functional, and oncologic outcomes in patients undergoing robot-assisted radical prostatectomy previous transurethral resection of prostate: a systematic review and meta-analysis of comparative trials.

The influence of robot-assisted radical prostatectomy (RARP) on patients who have previously undergone transurethral resection of the prostate (TURP) ...

Comparison between intra- and postoperative outcomes of the da Vinci SP and da Vinci Xi robotic platforms in patients undergoing radical prostatectomy.

The new SP robot incorporates a single trocar that houses a flexible camera and three bi-articulated arms, which minimize the number of incisions need...