Prediction of chronicity of anterior cruciate ligament tear using MRI findings

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...

Full description

Saved in:
Bibliographic Details
Published in:Clinics in orthopedic surgery 2013, 5(1), , pp.19-25
Main Authors: Yoon, Jong Pil, Yoo, Jae Ho, Chang, Chong Bum, Kim, Sung Ju, Choi, Ja Young, Yi, Jae Hyuck, Kim, Tae Kyun
Format: Article
Language:English
Subjects:
Adolescent
Adult
Anterior Cruciate Ligament - surgery
Anterior Cruciate Ligament Injuries
Child
Chronic Disease
Female
Humans
Knee Injuries - diagnosis
Logistic Models
Magnetic Resonance Imaging
Male
Middle Aged
Original
Retrospective Studies
Time Factors
Young Adult
정형외과학
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. 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. 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. A series of predictive logistic equations were formulated to estimate the chronicity of ACL tear using 4 MRI findings with chronological significance.
ISSN:2005-291X
2005-4408
DOI:10.4055/cios.2013.5.1.19