The Optimization of Magnetic Resonance Imaging Pulse Sequences in Order to Better Detection of Multiple Sclerosis Plaques
Journal Title: Journal of Biomedical Physics and Engineering - Year 2017, Vol 7, Issue 3
Abstract
Background and Objective: Magnetic resonance imaging (MRI) is the most sensitive technique to detect multiple sclerosis (MS) plaques in central nervous system. In some cases, patients who were suspicious of having MS while having normal MRI images, were questionable whether they do not have MS plaques or MRI images are not enough optimized in order to show MS plaques. The aim of the current study is evaluating the efficiency of different MRI sequences in order to better detect MS plaques. Materials and Methods: In this cross-sectional study which was performed at Shohada-E Tajrish in Tehran, Iran hospital between October, 2011 to April, 2012, 20 patients were included suspected of having MS disease selected by random sampling and underwent routine brain Pulse sequences (Axial T2w, Axial T1w, Coronal T2w, Sagittal T1w, Axial FLAIR) by Siemens, Avanto, 1.5 Tesla system. If any lesion which is suspected to the MS disease was observed, additional sequences such as Sagittal FLAIR Fat Sat, Sagittal PDw-fat Sat, Sagittal PDw-water sat were also performed. Results: This study was performed for about 52 lesions and the results in more than 19 lesions showed that for the Subcortical and Infratentorial areas, PDWw sequence with fat suppression is the best choice, and in nearly 33 plaques located in Periventricular area, FLAIR Fat Sat was the most effective sequence than both PDw fat and water suppression pulse sequences. Conclusion: Although large plaques may be visible in all images, an important problem in patients with suspected MS is screening tiny MS plaques. This study demonstrated that for revealing MS plaques located in the Subcortical and Infratentorial areas, PDw-fat sat is the most effective sequence, and for MS plaques in the periventricular area, FLAIR fat Sat is the best choice.
Authors and Affiliations
Z Farshidfar, F Faeghi, H R Haghighatkhah, J Abdolmohammadi
Keywords
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