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Quantitative bone marrow lesion, meniscus, and synovitis measurement: current status.

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Summary

Quantitative magnetic resonance (MR) imaging software aids knee osteoarthritis (KOA) research by assessing bone marrow lesions, meniscus, and synovitis. This review highlights current methods and future directions for developing effective KOA treatments.

Keywords:
Bone marrow lesionsEffusion synovitisHoffa’sMRI; Quantitative softwareMeniscus

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Area of Science:

  • Biomedical imaging
  • Osteoarthritis research
  • Quantitative medical imaging

Background:

  • Imaging is crucial for knee osteoarthritis (KOA) research and drug development.
  • Quantitative imaging assessment, often software-assisted, is key for evaluating KOA.
  • Artificial intelligence (AI) and deep learning (DL) are emerging in imaging research.

Purpose of the Study:

  • To review quantitative software-based assessment techniques for KOA using MR imaging.
  • To focus on imaging evaluation of bone marrow lesions (BMLs), meniscus, and synovitis (effusion synovitis and Hoffa's synovitis).
  • To summarize current literature and discuss future directions in KOA quantitative imaging.

Main Methods:

  • Literature review of quantitative software-based assessment techniques for KOA.
  • Focus on magnetic resonance (MR) imaging.
  • Evaluation of specific biomarkers: BMLs, meniscus, and synovitis (ES, HS).

Main Results:

  • Overview of current quantitative software methods for KOA assessment.
  • Detailed summary of literature for each KOA assessment method and biomarker.
  • Discussion of novel techniques and future goals in quantitative imaging for KOA.

Conclusions:

  • Quantitative MR imaging software is vital for advancing KOA research.
  • Accurate assessment of BMLs, meniscus, and synovitis is critical for drug development.
  • Future research should explore novel AI/DL techniques for improved KOA imaging analysis.