Detection of active plaques in multiple sclerosis using 3 and 12 directional diffusion-weighted imaging: Comparison with gadolinium-enhanced mr imaging

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Abstract

Background: Multiple Sclerosis (MS), distinguished by aggravating the function of central nervous system because of inflammatory demyelination. The most sensi-tive method for MS diagnosis is Magnetic resonance imaging (MRI). To distinguish inactive and active MS lesions, contrast-enhanced T1-weighted imaging (CE T1WI) is being used as a gold standard. There are some contraindications in gadolinium based contrast agents (GBCAs) usage. Moreover, diffusion-weighted imaging (DWI) can discover diffusion changes involved inflammatory lesions. Objective: The current research aims at investigating if typical DWI (3 direc-tional) and 12 directional DWI could be a substitute for CE T1WI in order to show active lesions of MS. Material and Methods: In this cross-sectional study, 138 patients with CNS symptoms were examined. For all patients, along with CE T1WI, 3 & 12 directional DWI were performed. Intraclass correlation coefficient (ICC), receiver operating characteristic (ROC), the sensitivity versus specificity plot and the area under the curve (AUC) were calculated. Results: There was a contrast enhancement in CE T1WI for 114 patients (82.6%); in addition, hyper-intense lesions on DWI 3 and DWI 12 were shown in 107 (77.5%) and 117 patients (84.7%) in order. Sensitivity, specificity and AUC were 94.7%, 62.5% and 84% for DWI 12. Moreover, the results were 86%, 62.5 and 79% for the sensitivity, specificity and AUC for DWI 3 respectively. Conclusion: In spite of lower sensitivity of 12 directional DWI compared to CE T1WI, it could be used as a diagnostic sequence in differentiating enhanced lesions from non-enhanced ones when CE-MRI is a worry.

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Meftahi, G. H., Pirzad, J. G., Azari, A., & Ghaemma-Ghami, P. (2020). Detection of active plaques in multiple sclerosis using 3 and 12 directional diffusion-weighted imaging: Comparison with gadolinium-enhanced mr imaging. Journal of Biomedical Physics and Engineering, 10(6), 737–744. https://doi.org/10.31661/jbpe.v0i0.925

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