Knee anatomic geometry accurately predicts risk of anterior cruciate ligament rupture

Author:

Hasoon Jahfer1,Al-Dadah Oday12ORCID

Affiliation:

1. Department of Trauma and Orthopaedic Surgery, South Tyneside District Hospital, South Tyneside, UK

2. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, UK

Abstract

Background Certain anatomical characteristics of the knee have potential relationships with the risk of anterior cruciate ligament (ACL) rupture. There remains a need for stronger evidence using arthroscopy as well as radiological imaging to accurately clarify these relationships. Purpose To compare the anatomic geometry of the knee joint between patients with and without ACL ruptures. Material and Methods Case-controlled study of patients with arthroscopically confirmed ACL ruptures (ACL group) compared to patients with arthroscopically confirmed normal ACLs (control group). Magnetic resonance imaging scans were assessed for a total of 14 quantitative radiological variables including medial and lateral tibial slope angles (bone and cartilage measurements), meniscal height, femoral width, intercondylar notch width and tibial depth. Results A total of 105 patients were included in the study, 55 in the ACL group and 50 in the control group. There was a significant difference ( P < 0.05) of most of the radiological measurements between the two groups. There was also a significant difference ( P < 0.05) when comparing the variables between sexes. Multiple logistic regression analysis produced a mathematical model utilizing all the radiological measurements with 92.6% classification accuracy in predicating an ACL rupture with the medial tibial slope angle being the strongest predicator variable (odds ratio = 8.97, P = 0.011). Conclusion Greater postero-inferior directed slope measurements of bone and cartilage in both the lateral and medial compartments with a narrower intercondylar notch width increase the risk of ACL rupture. Mathematical modelling can accurately predict the risk of ACL rupture.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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