Background and Objectives: Multiparametric magnetic resonance imaging (mpMRI) of the prostate and prostate-specific membrane antigen positron emission tomography (PSMA PET) are some examples of how the advancement of imaging techniques have revolutionized the diagnosis, staging, and consequently management of patients with prostate cancer (PCa). Although with less striking results, novel radiological modalities have also been proposed for bladder cancer (BCa) in recent years. Micro-ultrasound (MUS) is an imaging examination characterized by high real-time spatial resolution, recently introduced in the urological field. This article aimed to describe the current evidence regarding the application of MUS for the diagnosis and staging of PCa and BCa. Materials and Methods: We designed a narrative review. A comprehensive search in the MEDLINE, Scopus, and Cochrane Library databases was performed. Articles in English-language and published until July 2022 were deemed eligible. Retrospective and prospective primary clinical studies, as well as meta-analyses, were included. Results: MUS-guided prostate biopsy showed high sensitivity (0.91, 95% CI, 0.79–0.97) in the diagnosis of clinically significant PCa (csPCa). It was associated with a higher detection rate of csPCa than a systematic biopsy (1.18, 95% CI 0.83–1.68). No significant difference was found between MUS and mpMRI-guided biopsy in the total detection of PCa (p = 0.89) and in the detection of Grade Groups ≥ 2 (p = 0.92). The use of MUS to distinguish between non-muscle-invasive and muscle-invasive BCa was described, highlighting an up-staging with MUS only in a minority of cases (28.6%). Conclusions: Promising findings have emerged regarding the feasibility and accuracy of MUS in the diagnosis and staging of PCa and BCa. However, the available evidence is limited and should be considered preliminary.

This review focuses on ablative techniques for small renal masses (SRMs), including radiofrequency ablation (RFA), cryoablation (CA), microwave ablation (MWA), and irreversible electroporation (IRE), and discusses recurrence management. Through an extensive literature review, we outline the procedures, outcomes, and follow-up strategies associated with each ablative method. The review provides a detailed examination of these techniques—RFA, CA, MWA, and IRE—elucidating their respective outcomes. Recurrence rates vary among them, with RFA and CA showing comparable rates, MWA demonstrating favorable short-term results, and IRE exhibiting promise in experimental stages. For managing recurrences, various strategies are considered, including active surveillance, re-ablation, or salvage surgery. Surveillance is preferred post-RFA and post-CA, due to slow SRM growth, while re-ablation, particularly with RFA and CA, is deemed feasible without additional complications. Salvage surgery emerges as a viable option for larger or resistant tumors. While ablative techniques offer short-term results comparable to surgery, further research is essential to understand their long-term effects fully. Decisions concerning recurrence management should consider individual and tumor-specific factors. Imaging, notably contrast-enhanced ultrasounds, plays a pivotal role in assessing treatment success, emphasizing the necessity of a multidisciplinary approach for optimal outcomes. The lack of randomized trials highlights the need for further research.

In the past decades, several treatments have been proposed for the management of metastatic renal cell carcinoma (mRCC). Among these, cytoreductive nephrectomy (CN) represents a controversial and open issue in the era of targeted therapy and novel immunotherapy with immune checkpoint inhibitors. Two important studies, CARMENA and SURTIME, analyzed therapy with sunitinib with or without CN, and immediate CN followed by sunitinib versus a deferred CN after three cycles of sunitinib, respectively. CARMENA showed the non-inferiority of sunitinib alone versus sunitinib plus CN, whereas SURTIME showed no difference in progression-free survival (PFS), but a better median OS among patients with deferred CN. Therefore, more prospective clinical trials and appropriate patient identification are necessary to support CN in this new scenario. This review provides a snapshot of the current evidence for CN in mRCC, discusses the management strategies, and offers perspectives on the direction of future research.

Bladder cancer ranks as the 10th most prevalent cancer globally with an increasing incidence. Radical cystectomy combined with urinary diversion represents the standard treatment for muscle-invasive bladder cancer, offering a range of techniques tailored to patient factors. Overall, urinary diversions are divided into non-continent and continent. Among the first category, cutaneous ureterostomy and ileal conduit represent the most common procedures while in the second category, it could be possible to describe another subclassification which includes ureterosigmoidostomy, continent diversions requiring catheterization and orthotopic voiding pouches and neobladders. In this comprehensive review, urinary diversions are described in their technical aspects, providing a summary of almost all alternatives to urinary diversion post-radical cystectomy.

The Prostate Imaging Reporting and Data System (PI-RADS) classification is based on a scale of values from 1 to 5. The value is assigned according to the probability that a finding is a malignant tumor (prostate carcinoma) and is calculated by evaluating the signal behavior in morphological, diffusion, and post-contrastographic sequences. A PI-RADS score of 3 is recognized as the equivocal likelihood of clinically significant prostate cancer, making its diagnosis very challenging. While PI-RADS values of 4 and 5 make biopsy necessary, it is very hard to establish whether to perform a biopsy or not in patients with a PI-RADS score 3. In recent years, machine learning algorithms have been proposed for a wide range of applications in medical fields, thanks to their ability to extract hidden information and to learn from a set of data without previous specific programming. In this paper, we evaluate machine learning approaches in detecting prostate cancer in patients with PI-RADS score 3 lesions via considering clinical-radiological characteristics. A total of 109 patients were included in this study. We collected data on body mass index (BMI), location of suspicious PI-RADS 3 lesions, serum prostate-specific antigen (PSA) level, prostate volume, PSA density, and histopathology results. The implemented classifiers exploit a patient’s clinical and radiological information to generate a probability of malignancy that could help the physicians in diagnostic decisions, including the need for a biopsy.

Objective: The Internet is an important and easily accessible source of information. The aim of the current study was to investigate the quality of YouTube videos on cystoscopy and to establish if they can be used as a reliable information tool for internet users. Materials and methods: The search term “cystoscopy” was used on YouTube platform and the first 120 YouTube videos were analyzed. To assess the video quality Patient Education Materials Assessment Tool (PEMAT) for Audiovisual (A/V) Materials (Understandability and Actionability sections), Misinformation score and Global Quality Score (GQS) were used. Results: Of all 120 videos, 72 were included in the analyses. Of all videos, 59.7% (n = 43), and 40.3% (n = 29) were targeted to General Public and Healthcare Workers. Moreover, “technical aspects” was the main topic addressed (n = 29, 40.3%). The median PEMAT A/V Understandability and Actionability scores were 50.0% (IQR: 39.1-70.0) and 66.7% (IQR: 33.3- 100.0), respectively. The median Misinformation score ranged from 1.0 to 3.0. According to GQS, 22 (30.6%), 26 (36.1%), 16 (22.2%), 8 (11.1%) videos were poor, generally poor, moderate, and good, respectively. No video was evaluated as excellent. Conclusions: Today, YouTube videos on cystoscopy are more frequently uploaded by healthcare workers, who share information about specific aspects of this procedure. However, the quality of YouTube contents on cystoscopy is still poor. Therefore, currently users interested in cystoscopy cannot rely on YouTube to get good informative material on this topic. In consequence, future authors should focus on improving the quality of video contents on cystoscopy