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Abstract #0115

Three-Dimensional Surface-Based Analysis of Cartilage MRI Data in Knee Osteoarthritis: Validation and Initial Clinical Application

James MacKay1,2, Joshua Kaggie1, Graham Treece3, Stephen McDonnell4, and Wasim Khan4
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 3Department of Engineering, University of Cambridge, Cambridge, United Kingdom, 4Department of Surgery, University of Cambridge, Cambridge, United Kingdom

  • Conventional MRI outcome measures for cartilage in knee osteoarthritis (OA) clinical studies lack responsiveness and require time-consuming manual analysis.
  • Here we validate and clinically implement a semiautomatic surface-based approach termed 3D Cartilage Surface Mapping (3D-CaSM) which overcomes these issues.
  • Validation data demonstrate comparable bias, precision, repeatability and reproducibility to expert manual segmentation (current standard) but with >10 fold reduction in analysis time.
  • Clinical data indicate improved sensitivity to change in one observational and two interventional (exercise, knee joint distraction) studies.

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