György Hangody, Péter Szoldán, Zsófia Egyed, Endre Szabó, László Rudolf Hangody, László Hangody
{"title":"Magnetic Resonance-Based Artificial Intelligence- Supported Osteochondral Allograft Transplantation for Massive Osteochondral Defects of the Knee.","authors":"György Hangody, Péter Szoldán, Zsófia Egyed, Endre Szabó, László Rudolf Hangody, László Hangody","doi":"10.1097/JSA.0000000000000426","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49481,"journal":{"name":"Sports Medicine and Arthroscopy Review","volume":"33 3","pages":"105-112"},"PeriodicalIF":1.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Medicine and Arthroscopy Review","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/JSA.0000000000000426","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Sports Medicine and Arthroscopy Review helps physicians digest the large volume of clinical literature in sports medicine and arthroscopy, identify the most important new developments, and apply new information effectively in clinical practice. Each issue is guest-edited by an acknowledged expert and focuses on a single topic or controversy. The Guest Editor invites the leading specialists on the topic to write review articles that highlight the most important advances. This unique format makes the journal more in-depth, authoritative, and practical than most publications in this field. The journal also includes dozens of full-color and black-and-white arthroscopic images and illustrations.