Articles of the week

Maria Uloko is a Urology Resident at the University of Minnesota Hospital. In this podcast she discusses a recent Article of the week: Health‐related quality of life among non‐muscle‐invasive bladder cancer survivors: a population‐based study Abstract Objective To examine the effect of non‐muscle‐invasive bladder cancer (NMIBC) diagnosis and treatment on survivors’ quality of life (QoL). Patients and Methods Of the 5979 patients with NMIBC diagnosed between 2010…

Every week, the Editor-in-Chief selects an Article of the Week from the current issue of BJUI. The abstract is reproduced below and you can click on the button to read the full article, which is freely available to all readers for at least 30 days from the time of this post. In addition to the article itself, there is an editorial written by a prominent member of the urology community and a video prepared by the authors; we invite you to use the comment tools at the bottom of each post to join…

As oncologists, we focus on obtaining the best cancer outcomes possible. The aim of treatment is to maximize survival and help patients live longer. As therapies continue to become more effective, more patients will become survivors. In the ongoing effort to extend the quantity of life left for our patients facing lethal cancers, thinking about the quality of that time is key. For urological oncologists, patients with a new bladder cancer diagnosis will someday face a new set of obstacles as survivors.…

Health‐related quality of life among non‐muscle‐invasive bladder cancer survivors: a population‐based study Abstract Objective To examine the effect of non‐muscle‐invasive bladder cancer (NMIBC) diagnosis and treatment on survivors’ quality of life (QoL). Patients and Methods Of the 5979 patients with NMIBC diagnosed between 2010 and 2014 in North Carolina, 2000 patients were randomly selected to be invited to enroll in this cross‐sectional study. Data were collected…

Every week, the Editor-in-Chief selects an Article of the Week from the current issue of BJUI. The abstract is reproduced below and you can click on the button to read the full article, which is freely available to all readers for at least 30 days from the time of this post. In addition to the article itself, there is an editorial written by a prominent member of the urology community and a video prepared by the authors; we invite you to use the comment tools at the bottom of each post to join…

In their study in this issue of BJUI, Hou et al. [1] use machine‐learning algorithms to evaluate several preoperative clinical variables (highlighting specific MRI findings of locally advanced prostate cancer) to determine whether lymph node involvement (LNI) could be present during radical prostatectomy, which would justify an extended pelvic lymph node dissection (PLND). This is a well‐designed study with scientific rigour, providing evidence‐based justifications and definitions (i.e.…

A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection Abstract Objectives To develop a machine learning (ML)‐assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings. Patients and Methods In all, 248 patients treated with radical prostatectomy…