| 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. | |
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MedLine Citation:
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PMID: 22075065 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Mikael Boesen; Olga Kubassova; Rasmus Bouert; Mette B Axelsen; Mikkel Ostergaard; Marco A Cimmino; Bente Danneskiold-Samsøe; Kim Hørslev-Petersen; Henning Bliddal |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-11-10 |
Journal Detail:
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Title: Rheumatology (Oxford, England) Volume: - ISSN: 1462-0332 ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100883501 Medline TA: Rheumatology (Oxford) Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Radiology, Parker Institute, Frederiksberg Hospital, Frederiksberrg, Denmark, Image Analysis Ltd, Leeds, UK, Department of Rheumatology, Glostrup Hospital, Glostrup, Denmark, Department of Rheumatology, University of Genoa, Genoa, Italy and Department of Rheumatology, King Chr X Hospital, Graasten, Denmark. |
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