AIMC Topic: Carcinoma, Transitional Cell
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A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens.
Cancer cytopathology
May 12, 2021
BACKGROUND: Although deep learning algorithms for clinical cytology have recently been developed, their application to practical assistance systems has not been achieved. In addition, whether deep learning systems (DLSs) can perform diagnoses that ca...
Robot-assisted versus open radical cystectomy: A cohort study on perioperative outcomes accounting for stage selection bias and surgical experience.
The international journal of medical robotics + computer assisted surgery : MRCAS
May 5, 2021
BACKGROUND: Most comparisons of robot-assisted (RARC) versus open radical cystectomy (ORC) for urothelial carcinoma do not factor the inherent stage selection bias or surgical experience.
Single-stage Xi® robotic radical nephroureterectomy for upper tract urothelial carcinoma: surgical technique and outcomes.
Minerva urology and nephrology
Mar 29, 2021
BACKGROUND: Radical nephroureterectomy (RNU) represents the standard of care for high grade upper tract urothelial carcinoma (UTUC). Open and laparoscopic approaches are well-established treatments, but evidence regarding robotic RNU is growing. The ...
Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?
The Journal of urology
Oct 6, 2020
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize reporting of magnetic resonance imaging for bladder cancer. This study aimed to prospectively validate VI-RADS using a next-generation magnetic reson...
Automated Detection and Grading of Non-Muscle-Invasive Urothelial Cell Carcinoma of the Bladder.
The American journal of pathology
Apr 10, 2020
Accurate grading of non-muscle-invasive urothelial cell carcinoma is of major importance; however, high interobserver variability exists. A fully automated detection and grading network based on deep learning is proposed to enhance reproducibility. A...
Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.
Journal of endourology
Oct 29, 2019
Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy (WLC) forms the corner stone for the diagnosis of UCB. However, histopathological assessment is required for adjuvant treatment selection. Probe-base...
Augmented Bladder Tumor Detection Using Deep Learning.
European urology
Sep 17, 2019
Adequate tumor detection is critical in complete transurethral resection of bladder tumor (TURBT) to reduce cancer recurrence, but up to 20% of bladder tumors are missed by standard white light cystoscopy. Deep learning augmented cystoscopy may impro...
Performance of an artificial intelligence algorithm for reporting urine cytopathology.
Cancer cytopathology
Aug 14, 2019
BACKGROUND: Unlike Papanicolaou tests, there are no commercially available computer-assisted automated screening systems for urine specimens. Despite The Paris System for Reporting Urinary Cytology, there still is poor interobserver agreement with ur...
Comparison of Single-docking Robotic-assisted and Traditional Laparoscopy for Retroperitoneal Lymph Node Dissection During Nephroureterectomy With Bladder Cuff Excision for Upper-tract Urothelial Carcinoma.
Urology
Oct 19, 2015
OBJECTIVE: To compare the results of traditional laparoscopy and a simple, single-docking robotic approach for retroperitoneal lymph node dissection (RPLND), nephroureterectomy, and bladder cuff excision.
Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder.
The Journal of urology
Oct 13, 2015
PURPOSE: Due to the high recurrence risk of nonmuscle invasive urothelial carcinoma it is crucial to distinguish patients at high risk from those with indolent disease. In this study we used a machine learning algorithm to identify the genes in patie...
Carcinoma, Transitional Cell
Polymerase Chain Reaction
Neoplasm Invasiveness
Predictive Value of Tests
Humans
Neoplasm Staging
Artificial Intelligence
Biopsy
Risk Assessment
Female
Gene Expression Profiling
Machine Learning
Aged
Urinary Bladder Neoplasms
Algorithms
Prognosis
Sensitivity and Specificity
Male
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