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Three-dimensional surface-based analysis of cartilage MRI data in knee osteoarthritis: Validation and initial clinical application

  • James W. MacKay
  • , Joshua D. Kaggie
  • , Graham M. Treece
  • , Stephen M. McDonnell
  • , Wasim Khan
  • , Alexandra R. Roberts
  • , Robert L. Janiczek
  • , Martin J. Graves
  • , Tom D. Turmezei
  • , Andrew W. McCaskie
  • , Fiona J. Gilbert

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
17 Downloads (Pure)

Abstract

Background: Traditional quantitative analysis of cartilage with MRI averages measurements (eg, thickness) across regions-of-interest (ROIs) which may reduce responsiveness. Purpose: To validate and describe clinical application of a semiautomated surface-based method for analyzing cartilage relaxation times (“composition”) and morphology on MRI, 3D cartilage surface mapping (3D-CaSM). Study Type: Validation study in cadaveric knees and prospective observational (cohort) study in human participants. Population: Four cadaveric knees and 14 participants aged 40–60 with mild–moderate knee osteoarthritis (OA) and 6 age-matched healthy volunteers, imaged at baseline, 1, and 6 months. Field Strength/Sequence: 3D spoiled gradient echo, T 1rho/T 2 magnetization-prepared 3D fast spin echo for mapping of T 1rho/T 2 relaxation times and delayed gadolinium enhanced MRI of cartilage (dGEMRIC) using variable flip angle T 1 relaxation time mapping at 3T. Assessment: 3D-CaSM was validated against high-resolution peripheral quantitative computed tomography (HRpQCT) in cadaveric knees, with comparison to expert manual segmentation. The clinical study assessed test–retest repeatability and sensitivity to change over 6 months for cartilage thickness and relaxation times. Statistical Tests: Bland–Altman analysis was performed for the validation study and evaluation of test–retest repeatability. Six-month changes were assessed via calculation of the percentage of each cartilage surface affected by areas of significant change (%SC), defined using thresholds based on area and smallest detectable difference (SDD). Results: Bias and precision (0.06 ± 0.25 mm) of 3D-CaSM against reference HRpQCT data were comparable to expert manual segmentation (−0.13 ± 0.26 mm). 3D-CaSM demonstrated significant (>SDD) 6-month changes in cartilage thickness and relaxation times in both OA participants and healthy controls. The parameter demonstrating the greatest 6-month change was T 2 relaxation time (OA median %SC [IQR] = 8.8% [5.5 to 12.6]). Data Conclusion: This study demonstrates the construct validity and potential clinical utility of 3D-CaSM, which may offer advantages to conventional ROI-based methods. Level of Evidence: 2. Technical Efficacy Stage: 2. J. Magn. Reson. Imaging 2020;52:1139–1151.

Original languageEnglish
Pages (from-to)1139-1151
Number of pages13
JournalJournal of Magnetic Resonance Imaging
Volume52
Issue number4
Early online date24 May 2020
DOIs
Publication statusPublished - 1 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 3D
  • cartilage composition
  • cartilage mapping
  • cartilage thickness
  • knee osteoarthritis
  • magnetic resonance imaging

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