膝关节解剖形态与前交叉韧带损伤位置的相关性研究

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Abstract Objective To explore the correlation between MRI measurement of lateral tibial plateau slope (LPS)，notch width index (NWI) and anterior cruciate ligament (ACL) injury site.Methods A retrospective analysis was made of 40 cases without ACL injury and 80 cases of ACL injury diagnosed in our department from September 2018 to September 2020，including 45 males and 75 females.The average age was (30.08±9.95)years.The site of ACL injury was determined and recorded during knee arthroscopic surgery，and the patients were divided into three groups according to the site of injury，with 40 patients in each group.In the non-proximal group the ACL injury sites were far away from the femoral end.In the proximal group，ACL injury site were near the femur end.And in the control group，patients had intact ACL under knee arthroscopy.The relationship between LPS，NWI and ACL injury site was observed.Results (1)LPS in the non-proximal group，proximal group and control group were (8.20±4.37)°，(6.34±3.33)° and (4.52±2.27)°，respectively，and the differences among the three groups were statistically significant (P＜0.05).LPS in patients with ACL injury were higher than those in the intact ACL group.Pairwise comparison of LPS among the three groups had statistical significance (P＜0.05).(2)NWI in the non-proximal group，proximal group and control group were (0.26±0.41)，(0.30±0.28) and (0.33±0.44)，respectively，and the differences among the three groups were statistically significant (P＜0.05).NWI in patients with ACL injury was lower than that in the intact ACL group.There were statistically significant differences in NWI among the three groups (P＜0.05).Conclusion Both posterior dip Angle of tibial plateau and intercondylar fossa index are important anatomical factors leading to different injury sites of ACL，and patients with larger LPS and smaller NWI are more likely to injure the distal part of ACL.

Key words： MRI intercondylar fossa width index lateral tibial plateau slope rupture of anterior cruciate ligament risk factors

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