Correlation between computer-aided dynamic gadolinium-enhanced MRI assessment of inflammation and semi-quantitative synovitis and bone marrow oedema scores of the wrist in patients with rheumatoid arthritis-a cohort study

48Citations
Citations of this article
63Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Objective: To test the correlation between assessment of inflammation using dynamic contrast-enhanced MRI (DCE-MRI) analysed by a novel computer-aided approach and semi-quantitative scores of synovitis and bone marrow oedema (BME) using the OMERACT-RA MRI Scoring (RAMRIS) system, in the wrist of patients with RA. Methods: Fifty-four RA patients had conventional and DCE-MRI of a symptomatic wrist using a low-field 0.2T extremity scanner. RAMRIS synovitis and BME of the wrist joint were done. DCE-MRI data were analysed in three ways: (i) in all images (fully automated approach), (ii) within a large extended region of interest (ROI) placed around the wrist joint (semi-automated approach) and (iii) within a small ROI placed in the area with most visual enhancement (semi-automated approach). Time spent on each procedure was noted. Spearman's rank correlation test was applied to assess the correlation between RAMRIS and the computer-generated dynamic parameters. Results. RAMRIS synovitis (range 2-9), BME (range 0-39) and the dynamic parameters reflecting the number of enhancing voxels were significantly correlated, especially when an extended ROI around the wrist was used (ρ = 0.74; P < 0.01 for synovitis and ρ = 0.82; P < 0.01 for BME). The observer spent on average 20 min (range 12-25 min) to perform RAMRIS, including acquisition of the results in the database, and 8 min (range 7-10 min) to perform all above-mentioned computer-aided analyses.Conclusion. Computer-aided analysis of DCE-MRI data correlated with RAMRIS synovitis and BME and was twice as fast to perform. This technique may be useful for quick semi-automated assessment of joint inflammation, but needs further validation. © The Author 2011. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved.

References Powered by Scopus

The american rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis

19398Citations
N/AReaders
Get full text

An explanation for the apparent dissociation between clinical remission and continued structural deterioration in rheumatoid arthritis

705Citations
N/AReaders
Get full text

Magnetic resonance imaging-determined synovial membrane and joint effusion volumes in rheumatoid arthritis and osteoarthritis: Comparison with the macroscopic and microscopic appearance of the synovium

249Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Knee pain and inflammation in the infrapatellar fat pad estimated by conventional and dynamic contrast-enhanced magnetic resonance imaging in obese patients with osteoarthritis: A cross-sectional study

92Citations
N/AReaders
Get full text

Use of artificial intelligence in imaging in rheumatology-current status and future perspectives

62Citations
N/AReaders
Get full text

A treat-to-target strategy with methotrexate and intra-articular triamcinolone with or without adalimumab effectively reduces MRI synovitis, osteitis and tenosynovitis and halts structural damage progression in early rheumatoid arthritis: Results from the OPERA randomised controlled trial

59Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Boesen, M., Kubassova, O., Bouert, R., Axelsen, M. B., Østergaard, M., Cimmino, M. A., … Bliddal, H. (2012). Correlation between computer-aided dynamic gadolinium-enhanced MRI assessment of inflammation and semi-quantitative synovitis and bone marrow oedema scores of the wrist in patients with rheumatoid arthritis-a cohort study. Rheumatology, 51(1), 134–143. https://doi.org/10.1093/rheumatology/ker220

Readers over time

‘11‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2505101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 16

37%

Researcher 16

37%

Professor / Associate Prof. 9

21%

Lecturer / Post doc 2

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 24

63%

Nursing and Health Professions 7

18%

Engineering 5

13%

Chemistry 2

5%

Save time finding and organizing research with Mendeley

Sign up for free
0