Synovitis assessed on static and dynamic contrast-enhanced magnetic resonance imaging and its association with pain in knee osteoarthritis: A cross-sectional study

详细信息    查看全文

• 作者：Robert G.C. Riis^a ; ^b ; Henrik Gudbergsen^a ; Marius Henriksen^a ; Christine Ballegaard^a ; Elisabeth Bandak^a ; Diana Rö ; ttger^c ; ¹ ; Henning Bliddal^a ; Bjarke Brandt Hansen^a ; Stine Hangaard^a ; ^b ; Mikael Boesen^a ; ^b ; ^{mikael.boesen@gmail.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：BLOKS ; Boston-Leeds Osteoarthritis Knee Score ; DCE-MRI ; dynamic contrast-enhanced MRI ; EES ; extravascular ; extracellular space ; IRE ; initial rate of enhancement ; KOA ; knee osteoarthritis ; KOOS ; knee injury and osteoarthritis outcome score ; Ktrans ; volume transfer coefficient between plasma and EES ; ME ; maximum enhancement ; MOAKS ; MRI Osteoarthritis Knee Score ; Nvoxel ; the number of voxels with plateau or washout patterns (i.e. the highest perfused voxels) ; PROM ; patient reported outcome measures
• 刊名：European Journal of Radiology
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：85
• 期：6
• 页码：1099-1108
• 全文大小：1459 K

文摘

To investigate the association between pain and peripatellar-synovitis on static and dynamic contrast-enhanced MRI in knee osteoarthritis.

Methods

In a cross-sectional setting, knee synovitis was assessed using 3-Tesla MRI and correlated with pain using the knee injury and osteoarthritis outcome score (KOOS). Synovitis was assessed in the peripatellar recesses with: (i) dynamic contrast-enhanced (DCE)-MRI, using both pharmacokinetic and heuristic models, (ii) contrast-enhanced (CE)-MRI, and (iii) non-CE-MRI. The DCE-MRI variable IRExNvoxel was chosen as the primary variable in the analyses.

Results

Valid data were available in 94 persons with a mean age of 65 years, a BMI of 32.3 kg/m² and a mean Kellgren-Lawrence grade of 2.5. IRExNvoxel showed a statically significant correlation with KOOS-Pain (r = −0.34; p = 0.001), as was the case with all DCE-variables but one. Correlations between static MRI-variables and KOOS-Pain ranged between −0.21 < r < −0.29 (p < 0.040). Intraclass correlation coefficients ranged between 0.90-0.99 for the heuristic and 0.66-0.93 for the pharmacokinetic DCE-MRI variables.

Conclusions

The results confirm an association between peripatellar-synovitis and pain in KOA. Overall, DCE-MRI showed stronger correlations with KOOS-Pain compared to static MRI. DCE-MRI analyses were highly reproducible and have the potential to be used to further investigate the role of inflammation and perfusion in KOA.