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TDK topics

DEPARTMENT OF TRAUMATOLOGY – TDK TOPICS 2026-2027

Before registering for the TDK subject on Neptun students need to contact office.trauma@semmelweis.hu.

Dr. Koczka Dániel
  • Potential applications of resorbable screw and compression-type implants in the management of unstable metacarpal fractures (a meta-analysis comparing existing metal implants and resorbable options). 
Dr. Koczka Dániel
  • Functional and Radiographic Outcomes Following  Fixation of Acute Perilunate Dislocations
Dr. Mayer Lilla
  • The role of 1.5-stage revision in the treatment of periprosthetic joint infections: comparison of clinical experience and literature data. 
Dr. Mayer Lilla
  • Distribution and comparison of microbiological resistance in necrotizing fasciitis affecting the upper and lower limbs (retrospective comparison)
Dr. Mayer Lilla
  • SE TCM Systematic review and meta-analysis
Dr. Misik Ferenc/Dr. Tánczos Krisztián
  • Monitoring and treatment options for head-injured patients with increased intracranial pressure. 
Dr. Pahlavanyali Afshin
  • Predictive Modelling of Fracture Non-Union: Bridging Clinical Practice and AI
Dr. de Jonge Róbert
Témavezető: Dr. Pánics Gergely PhD
  • The effect of anterior cruciate ligament replacement on the devellopement of knee osteoarthritis
Dr. de Jonge Róbert
Témavezető: Dr. Pánics Gergely PhD
  • New treatment optins for tendinopathies
Dr. Hangody László Rudolf
  • Modern techniques of cartilage restoration
Dr. Hangody László Rudolf
  • The role of meniscus-preserving techniques in osteoarthritis prevention
Dr. Hangody László Rudolf
  • The Role of Frailty in the Perioperative Outcome of Patients with Proximal Femur Fractures
Dr. Keszég Miklós
  • Septic complications in Orthopedics and Traumatology
Dr. Máté Miklós
  • The role of anterior cruciate ligament reconstruction in the development of osteoarthritis
Dr. Pánics Gergely
  •  Hamstring injuries among athletes
Dr. Pánics Gergely
  • The effect of training load on soft tissue injury incidence
Dr. Pánics Gergely
  • The use of artificial intelligence in the prediction and diagnosis of injuries