Evaluating automated dynamic contrast enhanced wrist 3T MRI in healthy volunteers: One-year longitudinal observational study

• Published in: European journal of radiology Vol. 82; no. 8; pp. 1286 - 1291
• Main Authors: Rastogi, Anshul, Kubassova, Olga, Krasnosselskaia, Lada V., Lim, Adrian K.P., Satchithananda, Keshthra, Boesen, Mikael, Binks, Michael, Hajnal, Joseph V., Taylor, Peter C.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 01-08-2013
• Subjects: Adult; Algorithms; Computer-assisted image analysis; Contrast Media; Dynamic contrast-enhanced Magnetic Resonance Imaging (DCE-MRI); Female; Gadolinium DTPA; Healthy subjects; Healthy Volunteers; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Longitudinal Studies; Magnetic Resonance Imaging - methods; Male; Pattern Recognition, Automated - methods; Perfusion; Reproducibility of Results; Sensitivity and Specificity; Synovium; Wrist; Wrist Joint - anatomy & histology; Young Adult; Wrist; Healthy subjects; Computer-assisted image analysis; Dynamic contrast-enhanced Magnetic Resonance Imaging (DCE-MRI); Perfusion; Synovium
• ISSN: 0720-048X; 1872-7727
• DOI: 10.1016/j.ejrad.2013.02.041

Dynamic contrast enhanced (DCE)-MRI has great potential to provide quantitative measure of inflammatory activity in rheumatoid arthritis. There is no current benchmark to establish the stability of signal in the joints of healthy subjects when imaged with DCE-MRI longitudinally, which is crucial so as to differentiate changes induced by treatment from the inherent variability of perfusion measures. The objective of this study was to test a pixel-by-pixel parametric map based approach for analysis of DCE-MRI (Dynamika) and to investigate the variability in signal characteristics over time in healthy controls using longitudinally acquired images.
10 healthy volunteers enrolled, dominant wrists were imaged with contrast enhanced 3T MRI at baseline, week 12, 24 and 52 and scored with RAMRIS, DCE-MRI was analysed using a novel quantification parametric map based approach. Radiographs were obtained at baseline and week 52 and scored using modified Sharp van der Heidje method. RAMRIS scores and dynamic MRI measures were correlated.
No erosions were seen on radiographs, whereas MRI showed erosion-like changes, low grade bone marrow oedema and low-moderate synovial enhancement. The DCE-MRI parameters were stable (baseline scores, variability) (mean±st.dev); in whole wrist analysis, MEmean (1.3±0.07, −0.08±0.1 at week 24) and IREmean (0.008±0.004, −0.002±0.005 at week 12 and 24). In the rough wrist ROI, MEmean (1.2±0.07, 0.04±0.02 at week 52) and IREmean (0.001±0.0008, 0.0006±0.0009 at week 52) and precise wrist ROI, MEmean (1.2±0.09, 0.04±0.04 at week 52) and IREmean (0.001±0.0008, 0.0008±0.001 at week 24 and 52). The Dynamic parameters obtained using fully automated analysis demonstrated strong, statistically significant correlations with RAMRIS synovitis scores.
The study demonstrated that contrast enhancement does occur in healthy volunteers but the inherent variability of perfusion measures obtained with quantitative DCE-MRI method is low and stable, suggesting its suitability for longitudinal studies of inflammatory arthritis. These results also provide important information regarding potential cut-off levels for imaging remission goals in patients with RA using both RAMRIS and DCE-MRI extracted parametric parameters.