Abstract #0115

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

James MacKay^1,2, 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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