Mengchao Zhang1, Le Zhou2, Ning Huang3, Hong Zeng4, Songyan Liu5, Lin Liu1. 1. Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, P.R. China. 2. Department of Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, P.R. China. 3. GE Healthcare, Economic and Technological Development Zone, Beijing, P.R. China. 4. Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, P.R. China. 5. Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, P.R. China.
Abstract
PURPOSE: To investigate the feasibility of using quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) to differentiate the active and inactive stage of sacroiliitis and the correlation between quantitative parameters and disease activity as measured by clinical scores. MATERIALS AND METHODS: Forty-two patients with ankylosing spondylitis underwent DCE-MRI on a 3.0T MRI unit. According to the results of the blood sedimentation rate (ESR), C-reactive protein (CRP), and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), the patients were grouped into inactive and active groups. Pharmacokinetic models were used to generate the semiquantitative and quantitative hemodynamic parameters of DCE-MRI. The between-group differences were analyzed using the Wilcoxon rank sum test, and the correlations between the pharmacokinetic parameters and BASDAI score were analyzed using Spearman's correlation coefficient. The efficacies of different parameters in differentiating the active and inactive phase of sacroiliitis were evaluated and compared using receiver operator characteristics (ROC) curve analysis. RESULTS: Ktrans , Kep , Ve , time to peak (TTP), max concentration (MAX Conc), and area under the curve (AUC) of the active group were significantly higher than those of the inactive stage group (P < 0.05). There were significant correlations between all parameters and BASDAI (P < 0.05). AUC of the receiver operator characteristics curve (AUCR ) of different parameters were not statistically different (P >0.05), except between AUC and MAX Conc (P = 0.0012). CONCLUSION: Quantitative DCE-MRI parameters can differentiate between active and inactive ankylosing spondylitis. Among those, Ktrans had the highest correlation coefficient with the BASDAI score. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:71-78.
PURPOSE: To investigate the feasibility of using quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) to differentiate the active and inactive stage of sacroiliitis and the correlation between quantitative parameters and disease activity as measured by clinical scores. MATERIALS AND METHODS: Forty-two patients with ankylosing spondylitis underwent DCE-MRI on a 3.0T MRI unit. According to the results of the blood sedimentation rate (ESR), C-reactive protein (CRP), and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), the patients were grouped into inactive and active groups. Pharmacokinetic models were used to generate the semiquantitative and quantitative hemodynamic parameters of DCE-MRI. The between-group differences were analyzed using the Wilcoxon rank sum test, and the correlations between the pharmacokinetic parameters and BASDAI score were analyzed using Spearman's correlation coefficient. The efficacies of different parameters in differentiating the active and inactive phase of sacroiliitis were evaluated and compared using receiver operator characteristics (ROC) curve analysis. RESULTS: Ktrans , Kep , Ve , time to peak (TTP), max concentration (MAX Conc), and area under the curve (AUC) of the active group were significantly higher than those of the inactive stage group (P < 0.05). There were significant correlations between all parameters and BASDAI (P < 0.05). AUC of the receiver operator characteristics curve (AUCR ) of different parameters were not statistically different (P >0.05), except between AUC and MAX Conc (P = 0.0012). CONCLUSION: Quantitative DCE-MRI parameters can differentiate between active and inactive ankylosing spondylitis. Among those, Ktrans had the highest correlation coefficient with the BASDAI score. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:71-78.
Authors: Daniel B Abrar; Christoph Schleich; Styliani Tsiami; Anja Müller-Lutz; Karl Ludger Radke; Neela Holthausen; Miriam Frenken; Matthias Boschheidgen; Gerald Antoch; Johanna Mucke; Philipp Sewerin; Juergen Braun; Sven Nebelung; Xenofon Baraliakos Journal: Arthritis Res Ther Date: 2020-09-17 Impact factor: 5.156