Penile Reconstructive Surgery in Peyronie Disease: Challenges in Restoring Normal Penis Size, Shape, and Function.
Eric ChungPublished in: The world journal of men's health (2018)
To provide an overview of current approaches to penile reconstructive surgery in Peyronie disease (PD), and to discuss the challenges in restoring normal penile size and function. A systematic literature search was conducted to identify the published literature relevant to PD and penile reconstructive surgery. A summary of the published guidelines from major organisations is included in this review paper. Penile plication is simple and minimally invasive, and tends to preserve potency in most patients. However, plication invariably results in penile length loss and may, in fact, worsen the existing hour-glass or hinge effect. In contrast, graft reconstructive surgery can address issues relating to the loss of penile length and complex penile deformities, but long-term data highlight the risks of altered glans sensation, recurrent curvature, and/or loss of penile length from graft contracture, as well as the development of erectile dysfunction. Complex penile reconstruction with the concurrent placement of a penile prosthesis and/or graft material is a demanding operation that should be performed by surgeons with extensive prosthetic and reconstructive experience, as the risk of sensory loss, glans ischemia/necrosis, prosthesis-related complications, and failure to gain any meaningful length are serious concerns and cannot be underestimated. While surgical approaches remain the standard of care, they pose considerable risks and require prolonged postoperative rehabilitation. Obtaining proper informed consent and establishing realistic outcome expectations are imperative for successful postoperative outcomes.
Keyphrases
- minimally invasive
- radical prostatectomy
- coronary artery bypass
- systematic review
- prostate cancer
- chronic kidney disease
- healthcare
- end stage renal disease
- blood pressure
- newly diagnosed
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- adipose tissue
- quality improvement
- type diabetes
- metabolic syndrome
- deep learning
- ejection fraction
- big data
- climate change
- pain management
- human health
- artificial intelligence