Prevalence of urinary tract cancer in the Spanish cohort of the IDENTIFY study.

INTRODUCTION: Malignant tumors of the urinary tract are associated with high morbidity and mortality, and their prevalence can vary worldwide. Recently, the IDENTIFY study has published results on the prevalence of urinary tract cancer at a global level. This study evaluates the prevalence of cancer within the Spanish cohort of the IDENTIFY study to determine whether the published results can be extrapolated to our population. PATIENTS AND METHODS: An analysis of the data from the Spanish cohort of patients in the IDENTIFY study was performed. This is a prospective cohort of patients referred to secondary care with suspected cancer, predominantly due to hematuria. Patients were recruited between December 2017 and December 2018. RESULTS: A total of 706 patients from 9 Spanish centers were analyzed. Of these, 277 (39.2%) were diagnosed with cancer: 259 (36.7%) bladder cancer, 10 (1.4%) upper tract urothelial carcinoma, 9 (1.2%) renal cancer and 5 (0.7%) prostate cancer. Increasing age (OR 1.05 (95% CI 1.03-1.06; P < 0.001)), visible hematuria (VH) OR 2.19 (95% CI 1.13-4.24; P = 0.02)) and smoking (ex-smokers: OR 2.11(95% CI 1.30-3.40; P = 0.002); smokers: OR 2.36 (95% CI 1.40-3.95; P = 0.001)) were associated with higher probability of bladder cancer. CONCLUSION: This study highlights the risk of bladder cancer in patients with VH and smoking habits. Bladder cancer presented the highest prevalence; higher than the prevalence reported in previous series and presented in the IDENTIFY study. Future work should evaluate other associated factors that allow us to create cancer prediction models to improve the detection of cancer in our patients.

Prostatitis: A Review.

PURPOSE OF REVIEW: Pathologies of the prostate in men are one of the most prevalent clinical conditions today [1]. Specifically, pelvic inflammatory disease such as prostatitis can cause symptoms and syndromes different from urological ones, such as bowel or nervous system manifestations. This has a largely negative impact on the quality of life of patients. Therefore, it is convenient to know and update the information about the therapeutic approach to prostatitis, which is a challenge that involves different medical specialties. The aim of this article is to provide summarized and focused evidence to help in the therapeutic approach of patients with prostatitis. A computer-based search of the PubMed and Cochrane Library databases was used to perform a comprehensive literature review on prostatitis, with special interest in recent findings and latest therapeutic guideline recommendations. RECENT FINDINGS: Recent discoveries about the epidemiology and clinical classifications of prostatitis seem to incur in an increasingly individualized and directed management, with the aim of covering all the confluent factors in prostatic inflammatory pathology. In addition, the role of new drugs and combination with phytotherapy open up a range of new treatment possibilities, although future randomized studies will be necessary to better understand how to use all treatment modalities. Despite all the knowledge acquired about the pathophysiology of prostate diseases, and due to their interrelation with other pelvic systems and organs, there are still gaps that make it difficult for us to provide an optimal and standardized treatment in many of our patients. Being aware of the influence of all the factors potentially involved in prostate symptoms is crucial for a correct diagnosis and establishing an effective treatment plan.

Artificial intelligence and simulation in urology.

INTRODUCTION AND OBJECTIVE: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology. MATERIAL AND METHODS: A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills. RESULTS: Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning. CONCLUSION: Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.

Artificial intelligence and simulation in urology. / Inteligencia artificial y simulación en urología.

INTRODUCTION AND OBJECTIVE: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology. MATERIAL AND METHODS: A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills. RESULTS: Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning. CONCLUSION: Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.