MR imaging of the meniscus: review, current trends, and clinical implications

Michael G Fox1

  • 1Division of Musculoskeletal Radiology, Department of Radiology, University of Virginia, Box 800170, Charlottesville, VA 22908, USA. mf3kx@hscmail.mcc.virginia.edu

Insights

Magnetic resonance imaging (MRI) accurately diagnoses meniscal tears in most patients. Proper interpretation requires understanding anatomy, variants, and pitfalls, especially after prior surgery.

Area of Science:

  • Orthopedics
  • Radiology
  • Medical Imaging

Background:

  • Magnetic resonance (MR) imaging is the primary method for evaluating meniscal injuries.
  • Accurate diagnosis of meniscal tears relies on a deep understanding of normal anatomy, common variants, and potential interpretation challenges.

Purpose of the Study:

  • To highlight the importance of precise description of meniscal tears.
  • To review current and emerging diagnostic and treatment strategies for meniscal tears.
  • To discuss the complexities of diagnosing recurrent tears after meniscal surgery.

Main Methods:

  • Review of current literature and clinical practice regarding MR imaging of the meniscus.
  • Emphasis on the diagnostic criteria and interpretation of meniscal abnormalities.
  • Discussion of advanced MR techniques and their role in meniscal evaluation.

Main Results:

  • MR imaging demonstrates high accuracy for meniscal tear diagnosis in patients without prior surgery when strict criteria are applied.
  • Accurate interpretation is contingent upon comprehensive knowledge of meniscal anatomy and potential diagnostic pitfalls.
  • Diagnosing recurrent tears in post-surgical patients presents challenges, with MR arthrography offering a potential solution.

Conclusions:

  • MR imaging is a valuable tool for meniscal tear assessment, but requires expertise for accurate interpretation.
  • Proper description of tears and understanding of post-surgical changes are crucial for effective patient management.
  • Advancements in MR technology, such as 3 Tesla (3T) and parallel imaging, promise improved diagnostic capabilities and efficiency.