Prediction of Chronicity of Anterior Cruciate Ligament Tear Using MRI Findings.
- Author:
Jong Pil YOON
1
;
Jae Ho YOO
;
Chong Bum CHANG
;
Sung Ju KIM
;
Ja Young CHOI
;
Jae Hyuck YI
;
Tae Kyun KIM
Author Information
- Publication Type:Original Article
- Keywords: Anterior cruciate ligament; Chronicity; Magnetic resonance imaging; Predictive model
- MeSH: Adolescent; Adult; Anterior Cruciate Ligament/*injuries/surgery; Child; Chronic Disease; Female; Humans; Knee Injuries/*diagnosis; Logistic Models; Magnetic Resonance Imaging; Male; Middle Aged; Retrospective Studies; Time Factors; Young Adult
- From:Clinics in Orthopedic Surgery 2013;5(1):19-25
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND: The estimation of anterior cruciate ligament (ACL) tear is required in certain cases involving legal and financial administration, such as the worker's compensation and/or insurance. The aim of this study is to propose and evaluate a quantitative evaluation instrument to estimate the chronicity of the ACL tear, based on the four magnetic resonance imaging (MRI) findings. METHODS: One hundred and fifty one cases of complete ACL tear confirmed by arthroscopy were divided into 4 groups according to the time from ACL injury to MRI acquisition: acute (< 6 weeks), subacute (6 weeks to 3 months), intermediate (3 months to 1 year), and chronic (> 1 year). The four MRI findings including ACL morphology, joint effusion, posterior cruciate ligament angle, and bone bruise were analyzed for temporal changes among the 4 groups. Binary logistic regression equations were formulated using the MRI findings to estimate the chronicity of ACL tear in a quantitative manner, and the accuracy of the formulated regression equations was evaluated. RESULTS: The four MRI findings showed substantial temporal correlation with the time-limits of ACL injury to be included in the estimation model. Three predictive binary logistic equations estimated the probability of the ACL injury for the three cutoff time-limits of 6 weeks, 3 months, and 1 year with accuracies of 82.1%, 89.4%, and 89.4%, respectively. CONCLUSIONS: A series of predictive logistic equations were formulated to estimate the chronicity of ACL tear using 4 MRI findings with chronological significance.
