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Lookup NU author(s): Dr Jahfer HasoonORCiD,
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© The Foundation Acta Radiologica 2023. 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.
Author(s): Hasoon J, Al-Dadah O
Publication type: Article
Publication status: Published
Journal: Acta Radiologica
Pages: epub ahead of print
Online publication date: 08/02/2023
Acceptance date: 03/01/2023
Date deposited: 23/02/2023
ISSN (print): 0284-1851
ISSN (electronic): 1600-0455
Publisher: SAGE Publications Inc.
PubMed id: 36755362
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