A NOVEL INTRAOPERATIVE, SINGLE STAGE PROCEDURE FOR CELL-BASED CARTILAGE REPAIR AND REGENERATION: CAIS

Abstract

The Cartilage Autograft Implantation System (CAIS) is being developed as a potential alternative surgical treatment providing chondrocyte-based repair in a single procedure for articular cartilage lesion(s) of the knee. Two pilot clinical studies were conducted to assess safety and initial performance of the CAIS system.

CAIS involves preparation and delivery of mechanically morselized, autologous cartilage uniformly dispersed on a 3-dimensional, bio-absorbable scaffold, and fixated in the defect with bio-absorbable staples. The mechanical fragmentation of cartilage tissue both maintains viability of the chondrocytes and creates increased surface area, which facilitates the outgrowth of embedded chondrocytes onto the scaffold. A proprietary disposable, arthroscopic device for precisely harvesting viable, morselized cartilage tissue was used. Two pilot clinical studies conducted in the EU and US were designed to assess safety and initial performance of the CAIS. The studies treated 53 patients at 10 enrolling sites, with microfracture as a control. Subjects returned for follow-up visits up to 3 years. Subjects were clinically evaluated and interviewed for the occurrence of adverse events and asked to complete clinical outcome questionnaires, Knee Injury and Osteoarthritis Outcome Score (KOOS), regarding disability, function, pain and quality of life. In addition, MRIs were completed at baseline, 3 weeks, and 6, 12, 24, and 36 months.

The instrumentation enabled the successful preparation and fixation of morselized autologous cartilage tissue loaded implant in a single intraoperative setting. The CAIS device has demonstrated short-term safety in subjects treated to date. Preliminary data from the US pilot study at 12 months and EU pilot study at 6 months indicate that CAIS is safe and its performance based on KOOS clinical outcomes show improvement over baseline and comparability to microfracture. Additional data must be analyzed regarding long-term safety and performance.