Fully automated system for the quantification of human osteoarthritic knee joint effusion volume using magnetic resonance imaging

Arthritis Res Ther. 2010;12(5):R173. doi: 10.1186/ar3133. Epub 2010 Sep 16.

Abstract

Introduction: Joint effusion is frequently associated with osteoarthritis (OA) flare-up and is an important marker of therapeutic response. This study aimed at developing and validating a fully automated system based on magnetic resonance imaging (MRI) for the quantification of joint effusion volume in knee OA patients.

Methods: MRI examinations consisted of two axial sequences: a T2-weighted true fast imaging with steady-state precession and a T1-weighted gradient echo. An automated joint effusion volume quantification system using MRI was developed and validated (a) with calibrated phantoms (cylinder and sphere) and effusion from knee OA patients; (b) with assessment by manual quantification; and (c) by direct aspiration. Twenty-five knee OA patients with joint effusion were included in the study.

Results: The automated joint effusion volume quantification was developed as a four stage sequencing process: bone segmentation, filtering of unrelated structures, segmentation of joint effusion, and subvoxel volume calculation. Validation experiments revealed excellent coefficients of variation with the calibrated cylinder (1.4%) and sphere (0.8%) phantoms. Comparison of the OA knee joint effusion volume assessed by the developed automated system and by manual quantification was also excellent (r = 0.98; P < 0.0001), as was the comparison with direct aspiration (r = 0.88; P = 0.0008).

Conclusions: The newly developed fully automated MRI-based system provided precise quantification of OA knee joint effusion volume with excellent correlation with data from phantoms, a manual system, and joint aspiration. Such an automated system will be instrumental in improving the reproducibility/reliability of the evaluation of this marker in clinical application.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Automation
  • Exudates and Transudates*
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Knee Joint / pathology*
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Osteoarthritis, Knee / pathology*