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Research Article

JCDR. 2021; 12(5): 1088-1101


Susceptibility Weighted ImagingEnhanced byGadoliniumin Multiple Sclerosis: Optimizing the Recognition of Central Venous Sign for Different Magnetic ResonanceImagingSequences

Sara M. Rady, Hossam M. Abdelrahman, Ahmed Mohamed Alsowey, Heba A. E. Mohamed.


Abstract

Background:Gadolinium SWI is anew MR imaging that has recently been reported to be
effective in the evaluation of several neurologic disorders, including demyelinating diseases.
Aim of the study:Compare between Gadolinium-Enhanced Susceptibility Weighted Imaging
sequence(Gd-SWI) and pre contrast Susceptibility Weighted Imaging performance in MS
plaques in the brain esp. in enhancing of central venous sign.
Method: The study was done in Zagazig University Hospitals.This study has been conducted
on 24 patients clinically and radiologically proven MS cases for MRI diagnosis and follow up,
the patients were referred from the Neurology Department and Multiple Sclerosis clinic at
Zagazig University Hospitals, to Radio Diagnosis Department, Magnetic Resonance Imaging
(MRI unit), Zagazig University Hospitals, over a period of 11 months starting from August
2020 to July 2021.
Results:There was statistically significance higher ability of post-contrast SWI to
demonstrate lesions with positive central vein than pre-contrast SWI and in contrast there was
statistically significance decrease on number of homogenous hypointense lesions with post
contrast than pre-contrast while regarding scattered hypointense dots and peripheral
hypointense rim, they were more obvious by post contrast than pre contrast but not different
enough to be significant and also isointense lesions not seen were more among pre-contrast
than post-contrast.
Conclusion: Our study has proven the role of post GD –SWI in detection of central vein sign
better than pre-GD SWI; it facilitated the visibility of small veins that already seen in precontrast
SWI.

Key words: Gadolinium-Enhanced, Magnetic Resonance Imaging, Multiple sclerosis, Susceptibility Weighted Imaging






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