Effect of Accelerated Weightbearing after Matrix-Associated Autologous Chondrocyte Implantation on the Femoral Condyle on Radiographic and Clinical Outcome after 2 Years

2009 ◽  
Vol 37 (1_suppl) ◽  
pp. 88-96 ◽  
Author(s):  
Barbara Wondrasch ◽  
Lukas Zak ◽  
Götz H. Welsch ◽  
Stefan Marlovits
2005 ◽  
Vol 35 (1) ◽  
pp. 16-26 ◽  
Author(s):  
Tomoki Takahashi ◽  
Bernhard Tins ◽  
Iain W. McCall ◽  
James B. Richardson ◽  
Katsumasa Takagi ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
David Grevenstein ◽  
Darius Schafigh ◽  
Stavros Oikonomidis ◽  
Peer Eysel ◽  
Christoph Brochhausen ◽  
...  

BACKGROUND: Lesions of articular cartilage represent a crucial risk factor for the early development of osteoarthritis. Autologous chondrocyte implantation (ACI) is a well-established procedure in therapy of those lesions in the knee. The aim of the presented study is to detect differences in short-term radiological outcome depending on defect localization (femoral condyle vs. retropatellar) after spheroid-based ACI. OBJECTIVE: This study aimed to demonstrate that radiological outcome after spheroid-based ACI in the knee is independent of defect localization. METHODS: MRI-scans after retropatellar ACI and ACI of the medial/lateral femoral condyle, with a preoperative Outerbridge grade of III or IV were evaluated regarding MOCART 2.0. RESULTS: The mean defect-size was 5.0 ± 1.8 cm2, with a minimum size of 2 cm2 and a maximum size of 9 cm2. Scans were performed 7.7 months (± 3.1 months) postoperatively. The mean MOCART 2.0 score was 78.5 ± 15.6. No statistically significant influence neither of the localization (p= 0.159), the gender (p= 0.124) nor defect size (< 5 cm2 vs. ⩾ 5 cm2; p= 0.201) could be observed. CONCLUSIONS: The presented data demonstrate good to excellent radiological short-term results after spheroid-based ACI. Data indicates, that at least radiological results are independent of gender, defect-size and defect-localization.


Cartilage ◽  
2016 ◽  
Vol 9 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Keith W. Chan ◽  
Richard D. Ferkel ◽  
Brian Kern ◽  
Sarah S. Chan ◽  
Gregory R. Applegate

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