Part of the BURST/BJUI Podcast Series BJUI – BJU International · BURST podcast: cytoreductive models Mr Kenneth MacKenzie MBChB, FRCS (Urol) is a ST7 in Urology in North East England and BURST committee member.
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Objective To compare transurethral resection in saline (TURIS), Greenlight laser vapo‐enucleation of the prostate (GL.PVEP), and holmium laser enucleation of the prostate (HoLEP), for controlling lower urinary tract symptoms secondary to large benign prostatic hyperplasia (BPH) and to assess non‐inferiority of 3‐year re‐treatment rates. Patients and Methods Eligible patients with BPH (prostate size 80–150 mL) were […]
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 […]
Part of the BURST/BJUI Podcast Series BJUI – BJU International · BURST podcast: Prostate Health Index and mpMRI to predict PCa grade reclassification in AS Mr Joseph Norris is a Specialty Registrar in Urology in the London Deanery. He is currently undertaking an MRC Doctoral Fellowship at UCL, under the supervision of Professor Mark Emberton. His […]