Alternative Surgical Technique for the Repair of Meniscus Root Tears Using Finite Element Analysis

ABSTRACT This study investigates an alternative surgical approach for repairing meniscal root tears, a common knee injury that can significantly impact joint stability and function. Traditional repair methods often face challenges such as high rates of retear and persistent pain. To address these limitations, this research utilizes finite element analysis (FEA) to compare the biomechanical performance of an alternative technique against established surgical procedures. FEA models were carefully constructed to accurately represent the complex anatomy of the knee joint, including the medial meniscus, cartilage, ligaments, and surrounding bone structures. These models were then subjected to various loading conditions that simulated physiological activities such as walking, running, and squatting to assess the stress and strain experienced by the repaired tissue under realistic conditions. The results of the FEA simulations demonstrated a significant reduction in stress and strain on the repaired medial meniscus root when the alternative technique was employed compared to traditional methods. This reduction in biomechanical load is crucial for promoting tissue healing and minimizing the risk of retear. By reducing excessive stress on the repair site, the alternative surgical technique may enhance long‐term patient outcomes, potentially improving knee function, reducing pain, and decreasing the likelihood of further surgical interventions such as meniscectomy or knee prosthesis replacement. In conclusion, this study provides strong evidence for the potential benefits of the alternative surgical technique in repairing meniscal root tears. The findings suggest that this approach may offer a promising alternative to traditional methods by optimizing biomechanical stability and promoting more favorable healing conditions. Further clinical studies are warranted to validate these findings and translate these promising results into improved patient care.