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The role of diffusion magnetic resonance imaging in diagnosing brain Multiple Sclerosis at Taif hospitals following the recent consensus guidelines
Author(s):
1. Ahmad Joman Alghamdi: Radiological Sciences Department, College of Applied Medical Sciences, Taif University,Taif, 21944, Saudi Arabia
Abstract:
Background: Several consensus recommendations have been published on the use of magnetic resonance imaging (MRI) for diagnosing, prognosing, and monitoring patients with multiple sclerosis (MS). They provided standardized protocols and guidance for when and how to use MRI. Objective: this study aims to investigate the diffusion weighted imaging (DWI) parameters and the diffusion data processing modalities used to diagnose MS in Taif city hospitals. Methods: data were collected from the radiology departments of the Ministry of Health hospitals in Taif city (King Faisal Medical Complex and King Abdul-Aziz Specialist Hospital). The 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with MS was used as a guidance for this paper. Results: Both hospitals do not follow the 2021 MAGNIMSCMSC-NAIMS consensus recommendations on when to acquire DWI images. Instead, they always acquire DWI for every MS patient. However, they met the recommendation of using magnetic field strength larger than 1.5T.The 2021 MAGNIMS-CMSC-NAIMS consensus recommendations did not specify DWI parameters. Thus, recent MS clinical studies were investigated to identify the importance of acquiring proper diffusion weighted (DW) images considering the acquisition time. Conclusion: A combination of different DWIpost-processing modalities cans helpunderstanding MS pathological background. Moreover, using flexible DWI protocol allows for processing diffusion data with multiple modalities to investigate the disease microstructural changes and the treatment efficacy.
Page(s): 623-630
DOI: DOI not available
Published: Journal: Bioscience Research, Volume: 20, Issue: 2, Year: 2023
Keywords:
Magnetic Resonance Imaging , Diffusion weighted imaging , Multiple Sclerosis , Diffusion tensor imaging , diffusion kurtosis imaging , neurite orientation dispersion and density imaging
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