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Lai WC, Bohlen HL, Fackler NP, Wang D. Osteochondral Allografts in Knee Surgery: Narrative Review of Evidence to Date. Orthop Res Rev 2022; 14:263-274. [PMID: 35979427 PMCID: PMC9377395 DOI: 10.2147/orr.s253761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 08/08/2022] [Indexed: 01/14/2023] Open
Abstract
Knee articular cartilage defects can result in significant pain and loss of function in active patients. Osteochondral allograft (OCA) transplantation offers a single-stage solution to address large chondral and osteochondral defects by resurfacing focal cartilage defects with mature hyaline cartilage. To date, OCA transplantation of the knee has demonstrated excellent clinical outcomes and long-term survivorship. However, significant variability still exists among clinicians with regard to parameters for graft acceptance, surgical technique, and rehabilitation. Technologies to optimize graft viability during storage, improve osseous integration of the allograft, and shorten recovery timelines after surgery continue to evolve. The purpose of this review is to examine the latest evidence on treatment indications, graft storage and surgical technique, patient outcomes and survivorship, and rehabilitation after surgery.
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Affiliation(s)
- Wilson C Lai
- Department of Orthopaedic Surgery, UCI Health, Orange, CA, USA
| | - Hunter L Bohlen
- Department of Orthopaedic Surgery, UCI Health, Orange, CA, USA
| | - Nathan P Fackler
- Department of Orthopaedic Surgery, UCI Health, Orange, CA, USA.,Georgetown University School of Medicine, Washington, DC, USA
| | - Dean Wang
- Department of Orthopaedic Surgery, UCI Health, Orange, CA, USA.,Department of Biomedical Engineering, University of California Irvine, Irvine, CA, USA
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Hayashi D, Li X, Murakami AM, Roemer FW, Trattnig S, Guermazi A. Understanding Magnetic Resonance Imaging of Knee Cartilage Repair: A Focus on Clinical Relevance. Cartilage 2018; 9:223-236. [PMID: 28580842 PMCID: PMC6042034 DOI: 10.1177/1947603517710309] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The aims of this review article are (a) to describe the principles of morphologic and compositional magnetic resonance imaging (MRI) techniques relevant for the imaging of knee cartilage repair surgery and their application to longitudinal studies and (b) to illustrate the clinical relevance of pre- and postsurgical MRI with correlation to intraoperative images. First, MRI sequences that can be applied for imaging of cartilage repair tissue in the knee are described, focusing on comparison of 2D and 3D fast spin echo and gradient recalled echo sequences. Imaging features of cartilage repair tissue are then discussed, including conventional (morphologic) MRI and compositional MRI techniques. More specifically, imaging techniques for specific cartilage repair surgery techniques as described above, as well as MRI-based semiquantitative scoring systems for the knee cartilage repair tissue-MR Observation of Cartilage Repair Tissue and Cartilage Repair OA Knee Score-are explained. Then, currently available surgical techniques are reviewed, including marrow stimulation, osteochondral autograft, osteochondral allograft, particulate cartilage allograft, autologous chondrocyte implantation, and others. Finally, ongoing research efforts and future direction of cartilage repair tissue imaging are discussed.
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Affiliation(s)
- Daichi Hayashi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, Yale New Haven Health at Bridgeport Hospital, Bridgeport, CT, USA,Daichi Hayashi, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building 3rd Floor, Boston, MA 02118, USA.
| | - Xinning Li
- Department of Orthopedic Surgery, Boston University School of Medicine, Boston, MA, USA
| | - Akira M. Murakami
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA
| | - Frank W. Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Siegfried Trattnig
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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