To analyze the long-term efficacy and safety of Holmium laser enucleation of the prostate (HoLEP) for benign prostatic hyperplasia (BPH). A total of 127 patients who underwent HoLEP at our institution between 2013-2015 were included.
Men with Peyronie’s disease (PD) may experience penile narrowing. Little data on penile girth changes and their psychosocial impact exist. To assess girth discrepancy in men with PD and its association with patient bother.
Editors are delighted with the newly released impact factors for the EAU’s journals. European Urology, its oldest and most widely cited journal jumps to an impact factor of 17.947 for 2019, marking a new high. This exceeds the previous record for the journal of 17.581 for 2017. Its sister journal, European Urology Focus received its […]
Since the male secondary sex characters, libido and fertility are attributed to their major androgen hormone testosterone, the sub-optimum levels of testosterone in young adults may cause infertility and irregularities in their sexual behaviour.
Small cell carcinoma (SCC) is an aggressive malignancy most commonly described in the lung. We present a case of a 61-year-old male who presented with a neck swelling and was subsequently found to have metastatic SCC of the prostate.
Urinary retention and hematuria owing to radiation-induced mucositis are occasional late adverse events in patients with prostate cancer. Moreover, radiation-induced secondary malignancies are late adverse events, although they are extremely rare.
Improving early cancer detection has the potential to substantially reduce cancer-related mortality. Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a highly sensitive assay capable of detecting early-stage tumors.
Renal cell cancers typically exhibit high metastasis and recurrence, and this is thought to be due to renal cancer stem cells (CSCs). Meanwhile, aberrant activation of Sonic hedgehog (Shh) signaling is linked with CSCs.
Metastatic prostate cancer is incurable, and novel methods to detect the disease earlier and to direct definitive treatment are needed. Molecularly specific tools to localize diagnostic and cytotoxic radionuclide payloads to cancer cells and the surrounding microenvironment are recognized as a critical component of new approaches to combat this disease.
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools in RT.
