MRI Diagnosis of Meniscus Tears in the Knee: An Updated Systematic Review and Meta-analysis

Jie C Nguyen1,2, Carlos Yaya-Quezada1, Wondwossen T Lerebo1

  • 1Section of Musculoskeletal Imaging, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.

Radiology
|April 28, 2026
PubMed

Insights

Updated benchmarks show magnetic resonance imaging (MRI) has high accuracy for detecting meniscus tears, with better sensitivity for medial tears and higher specificity for lateral tears. Diagnostic performance remains consistently high across various study designs.

Area of Science:

  • Orthopedics
  • Radiology
  • Medical Imaging

Background:

  • Establishing updated diagnostic performance benchmarks for MRI in detecting meniscus tears is crucial.
  • Arthroscopy serves as the gold standard reference for evaluating MRI accuracy.

Purpose of the Study:

  • To perform an updated systematic review and meta-analysis on the diagnostic performance of MRI for native meniscus tears.
  • To identify factors influencing MRI accuracy through subgroup analyses.

Main Methods:

  • A comprehensive literature search was conducted across PubMed, Scopus, and Embase.
  • Random-effects models, pooled sensitivity/specificity, and ROC curve analyses were employed.
  • Meta-regression was used to explore factors impacting diagnostic performance.

Main Results:

  • Seventy-five studies including 8507 patients were analyzed.
  • Pooled sensitivity was higher for medial tears (91.0%) than lateral tears (78.5%).
  • Pooled specificity was higher for lateral tears (94.0%) than medial tears (87.7%). Specificity for lateral tears declined over time.
  • Using both signal intensity and meniscus distortion criteria improved lateral tear detection sensitivity.

Conclusions:

  • Knee MRI demonstrates consistently high accuracy for meniscus tear detection.
  • Sensitivity is generally higher for medial meniscus tears, while specificity is higher for lateral meniscus tears.
  • Diagnostic accuracy is robust across different study designs and patient characteristics.