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Published on: April 12, 2011
Classification systems for assessing acute muscle injuries: a retrospective comparison of inter-reader agreements
Oliver A Binkert1, Christian W A Pfirrmann2, Sonja Fierstra2
1Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Objectives:
The purpose of this study is to compare three commonly used classification systems for MRI grading of acute muscle injury concerning their inter-reader reliability.
Methods:
Ethical committee approval was obtained. Inclusion criteria comprised patients with acute muscle injury, age ≥ 18 years, and signed informed consent. MR examinations were evaluated by four independent musculoskeletal radiologists. Muscle injuries were graded according to the British Athletics Muscle Injury Classification (BAMIC), the Munich Consensus Injury Classification (MCIC), and the Chan et al. Injury Classification (CIC). Inter-reader reliability was quantified with Fleiss' Kappa (κ) and associated 95% confidence interval (CI).
Results:
One hundred eleven acute muscle injuries in 110 patients (84% males) were assessed. Injured muscle groups included 85 thigh injuries (44 hamstrings, 41 non-hamstrings), 19 lower leg injuries, and 7 injuries in other locations. κ values (CI) were 0.506 (0.499, 0.514) for BAMIC, 0.566 (0.549, 0.584) for MCIC, and 0.306 (0.302, 0.311) for CIC. The highest reproducibility was seen for non-hamstring injuries in the thigh using MCIC 0.749 (0.720, 0.777), the lowest for lower leg injuries using CIC 0.199 (0.185, 0.213). Injury severity showed greater reproducibility (κ = 0.594-0.696) than the location of the injury within the muscle (κ = 0.349-0.576).
Conclusions:
The MCIC and BAMIC demonstrate moderate inter-reader reliability, whereas the CIC demonstrates fair inter-reader reliability. The challenge with the classifications is the reproducibility of localizing the injury anatomically within the muscle, rather than classifying injury severity. Non-hamstring thigh injuries were most reproducible with MCIC, while lower leg injuries were least reproducible with CIC.
Insights
The Munich Consensus Injury Classification (MCIC) and British Athletics Muscle Injury Classification (BAMIC) show moderate reliability for MRI grading of acute muscle injuries. The Chan et al. Injury Classification (CIC) demonstrates fair reliability, with challenges in localizing injuries within muscles.
Area of Science:
- Musculoskeletal Radiology
- Medical Imaging Analysis
- Sports Medicine Diagnostics
Background:
- Accurate MRI grading of acute muscle injuries is crucial for effective treatment and rehabilitation.
- Several classification systems exist, but their inter-reader reliability for MRI findings needs comparative analysis.
Purpose of the Study:
- To compare the inter-reader reliability of three common MRI classification systems for acute muscle injuries: BAMIC, MCIC, and CIC.
- To identify which classification system offers the best reproducibility in grading muscle injuries.
Main Methods:
- Four musculoskeletal radiologists independently graded 111 acute muscle injuries using BAMIC, MCIC, and CIC.
- Inter-reader reliability was quantified using Fleiss' Kappa (κ) and 95% confidence intervals (CI).
Main Results:
- MCIC (κ=0.566) and BAMIC (κ=0.506) demonstrated moderate inter-reader reliability, while CIC (κ=0.306) showed fair reliability.
- Reproducibility was higher for injury severity (κ=0.594-0.696) than for injury location within the muscle (κ=0.349-0.576).
- MCIC showed the highest reproducibility for non-hamstring thigh injuries (κ=0.749), and CIC showed the lowest for lower leg injuries (κ=0.199).
Conclusions:
- MCIC and BAMIC offer moderate reliability for MRI grading of acute muscle injuries.
- CIC exhibits fair reliability, with significant challenges in anatomically localizing injuries within the muscle.
- Improving the reproducibility of anatomical localization is key for enhancing muscle injury classification systems.
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