Imaging of OA - From disease modification to clinical utility

Daichi Hayashi1, Frank W Roemer2, Felix Eckstein3

  • 1Department of Radiology, Stony Brook Medicine, State University of New York, United States; Department of Radiology, Boston University School of Medicine, Boston, United States.

Insights

Developing effective disease-modifying osteoarthritis drugs (DMOADs) requires strategic trial planning, with imaging playing a crucial role. This review explores imaging

Area of Science:

  • Orthopedics and Sports Medicine
  • Radiology
  • Pharmacology

Background:

  • Numerous disease-modifying osteoarthritis drug (DMOAD) trials over two decades have failed to yield regulatory approval.
  • Recent late-stage trial discontinuations highlight the need for improved DMOAD trial strategies.
  • Imaging plays a pivotal role in assessing disease modification and clinical utility in osteoarthritis.

Purpose of the Study:

  • To review the utilization of various imaging modalities in disease-modifying osteoarthritis drug (DMOAD) trials.
  • To discuss the application of semi-quantitative and quantitative magnetic resonance imaging (MRI) in DMOAD research.
  • To explore the potential of novel imaging techniques like positron emission tomography/MRI and artificial intelligence in osteoarthritis drug development.

Main Methods:

  • Narrative review of existing literature on imaging in osteoarthritis and DMOAD trials.
  • Discussion of semi-quantitative and quantitative magnetic resonance imaging (MRI) techniques.
  • Review of musculoskeletal ultrasound utility in research and clinical settings.
  • Exploration of hybrid positron emission tomography/MRI and artificial intelligence applications.

Main Results:

  • Imaging is essential for evaluating disease modification and clinical outcomes in osteoarthritis drug trials.
  • Semi-quantitative and quantitative MRI have been employed to assess structural changes in DMOAD trials.
  • Musculoskeletal ultrasound offers valuable insights for both research and clinical practice.
  • Emerging technologies like PET/MRI and AI show promise for future osteoarthritis research.

Conclusions:

  • Strategic integration of advanced imaging techniques is critical for successful disease-modifying osteoarthritis drug (DMOAD) trial design.
  • Magnetic resonance imaging (MRI), ultrasound, and novel hybrid imaging modalities offer diverse applications in osteoarthritis research.
  • Artificial intelligence holds significant potential for enhancing osteoarthritis assessment and drug development.