Epiphysiodesis, a surgical procedure primarily performed on pediatric patients, involves the intentional cessation or slowing down of growth in the long bones by modifying the growth plates. This technique aims to correct limb length discrepancies or angular deformities, often seen in conditions like unequal leg lengths or certain types of bone growth disorders. During epiphysiodesis, the growth plate, known as the epiphyseal plate, is either partially damaged or completely closed off. This intervention is usually done using surgical methods or minimally invasive techniques, such as percutaneous drilling or implantation of tension plates or staples. By influencing the growth plate's closure, the procedure directs the bone to halt or decrease its growth rate, allowing the shorter or deformed limb to catch up with the other in terms of length or alignment. Timing is critical in this procedure, as it needs to be performed while the child's bones are still growing but close enough to maturity to prevent further discrepancies. Careful planning and assessment by orthopedic specialists are necessary to determine the optimal timing and method for epiphysiodesis, ensuring the best possible outcomes for the patient's musculoskeletal health and overall well-being.
Title : Microbial spectrum and histo-pathological pattern in patients with breast abscess: A 5 year retrospective study in a tertiary care rural teaching hospital in South India
Caroline Francis, Hull Royal Infirmary, United Kingdom
Title : Evolution of surgical oncology
Nagy Habib, Imperial College London, United Kingdom
Title : Cell therapy for chronic ischemia
Darwin Eton, Vasogenesis Inc, United States
Title : Improving post-operative analgesia regimens after emergency major abdominal surgery
Shifa Bangi, Oxford University Hospitals NHS Trust, United Kingdom
Title : The coincidence between spinal perineural cysts, increased intracranial pressure and the appearance of small fiber neuropathy. Exploring the relationship and (surgical) lessons to be learned
Ricky Rasschaert, AZ Rivierenland, Belgium
Title : Predicting reductions in acute pain and opioid consumption with non-opioid analgesics: A machine learning analysis of randomised controlled trials (OPERA study)
Toluwalogo Daramola, University of Nottingham, United Kingdom