Magnetic Resonance-Based Artificial Intelligence- Supported Osteochondral Allograft Transplantation for Massive Osteochondral Defects of the Knee.
Authors
Affiliations (4)
Affiliations (4)
- Department of Orthopedics.
- GenuForm AI Ltd.
- Department of Radiology, Uzsoki Hospital.
- Department of Traumatology, Semmelweis University, Budapest, Hungary.
Abstract
Transplantation of fresh osteochondral allografts is a possible biological resurfacing option to substitute massive bone loss and provide proper gliding surfaces for extended and deep osteochondral lesions of weight-bearing articular surfaces. Limited chondrocyte survival and technical difficulties may compromise the efficacy of osteochondral transfers. As experimental data suggest that minimizing the time between graft harvest and implantation may improve chondrocyte survival rate a <48 hours donor to recipient time was used to repair massive osteochondral defects. For optimal graft congruency, a magnetic resonance-based artificial intelligence algorithm was also developed to provide proper technical support. Based on 3 years of experience, increased survival rate of transplanted chondrocytes and improved clinical outcomes were observed.