Intracavernous Injection Therapy as Second-Line Treatment for ED After Radical Prostatectomy: A Literature Review
Abstract
Erectile dysfunction (ED) is a frequent and significant complication of radical prostatectomy that impacts patients' quality of life. Intracavernous injection treatment has become an important approach to post-prostatectomy ED, providing an immediate and proven means of regaining erectile function in men who are unresponsive to oral phosphodiesterase type 5 inhibitors. The scope of this article is to discuss the mechanisms, efficacy, and safety of ICI treatments using vasoactive compounds as a second-line treatment for ED after radical prostatectomy. We consider clinical results, satisfaction, and compliance, as well as predictors of success, like nerve-sparing procedures. Through our interpretation of evidence and clinical experience, ICI therapy is a cornerstone of penile rehabilitation and ED management following radical prostatectomy. Also, the prospects for further treatment optimization and patient outcomes are discussed.
Read the paper
Related studies
- Protective effects of tadalafil and N-acetyl cysteine therapy on cisplatin-induced testicular toxicity
- The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
- Sildenafil as a Candidate Drug for Alzheimer’s Disease: Real-World Patient Data Observation and Mechanistic Observations from Patient-Induced Pluripotent Stem Cell-Derived Neurons
- Ozone-modified properties of pumpkin seed oil as anti-H. pylori, anticancer, anti-diabetic and anti-obesity agent
- Effectiveness of Low-Intensity Extracorporeal Shock Wave Therapy in Erectile Dysfunction: An Analysis of Sexual Function and Penile Hardness at Erection: An Umbrella Review
- Molecular Docking of Silymarin as a Ligand for Aromatase Enzyme and HIV-1 Reverse Transcriptase Using Molegro Virtual Docker
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.