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About Kelly K. Bree, Patrick J. Hensley, Nathan A. Brooks, Justin Matulay, Roger Li, Graciela M. Nogueras Gonzalez, Neema Navai, H Barton Grossman, Surena F. Matin, Colin P. Dinney, Ashish M. Kamat

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Meanwhile lets just say that we are proud Kelly K. Bree, Patrick J. Hensley, Nathan A. Brooks, Justin Matulay, Roger Li, Graciela M. Nogueras Gonzalez, Neema Navai, H Barton Grossman, Surena F. Matin, Colin P. Dinney, Ashish M. Kamat contributed a whooping 217 entries.

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Impact of upper tract urothelial carcinoma on response to bcg in patients with non‐muscle invasive bladder cancer

Abstract Objective To determine the long‐term outcome of endoscopic urethrotomy for primary urethral strictures based on a population‐based approach. Patients and Methods Analysis of a nation‐wide data base of all patients with urethral stricture disease who underwent endoscopic urethrotomy as primary intervention between January 2006 and December 2007. All patients were followed individually for 7 […]

The long‐term outcome of urethrotomy for primary urethral strictures ‐ A population‐based analysis

Abstract Objective To determine the long‐term outcome of endoscopic urethrotomy for primary urethral strictures based on a population‐based approach. Patients and Methods Analysis of a nation‐wide data base of all patients with urethral stricture disease who underwent endoscopic urethrotomy as primary intervention between January 2006 and December 2007. All patients were followed individually for 7 […]

Trends in the use of neoadjuvant chemotherapy and oncological outcomes for high‐risk upper tract urothelial carcinoma: a multicenter retrospective study

Abstract Objective To determine the long‐term outcome of endoscopic urethrotomy for primary urethral strictures based on a population‐based approach. Patients and Methods Analysis of a nation‐wide data base of all patients with urethral stricture disease who underwent endoscopic urethrotomy as primary intervention between January 2006 and December 2007. All patients were followed individually for 7 […]

Research Highlights

Objective To improve endoscopic recognition of the most frequently encountered urinary stone morphologies for a better aetiological approach in lithiasis by urologists. Materials and Methods An expert urologist intraoperatively and prospectively (between June 2015 and June 2018) examined the surface, the section, and the nucleus of all encountered kidney stones. Fragmented stones were subsequently analysed […]

Table of Contents

Objective To present the long‐term adjuvant radiotherapy outcomes of patients with pN3 squamous cell carcinoma of the penis (SCCp) treated at two UK centres. Patients and Methods We conducted a retrospective audit of all pN3 SCCp patients, deemed suitable for adjuvant therapy by a specialist multidisciplinary team at St George’s and Leeds Hospitals, who received […]

Editorial Board

Objective To improve endoscopic recognition of the most frequently encountered urinary stone morphologies for a better aetiological approach in lithiasis by urologists. Materials and Methods An expert urologist intraoperatively and prospectively (between June 2015 and June 2018) examined the surface, the section, and the nucleus of all encountered kidney stones. Fragmented stones were subsequently analysed […]

Journal information

Objective To improve endoscopic recognition of the most frequently encountered urinary stone morphologies for a better aetiological approach in lithiasis by urologists. Materials and Methods An expert urologist intraoperatively and prospectively (between June 2015 and June 2018) examined the surface, the section, and the nucleus of all encountered kidney stones. Fragmented stones were subsequently analysed […]

World News

Objectives To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI). Patients and Methods We used data of 3791 patients to develop and validate the risk calculator. We initially divided the data into development and validation sets. An extreme gradient‐boosting algorithm was applied to […]

Journal information

Objective To build the Wisconsin Stone Quality of Life Machine‐Learning Algorithm (WISQOL‐MLA) to predict urolithiasis patients’ health‐related quality of life (HRQoL) based on demographic, symptomatic and clinical data collected for the validation of the Wisconsin Stone Quality‐of‐Life (WISQOL) questionnaire, an HRQoL measurement tool designed specifically for patients with kidney stones. Material and Methods We used […]

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