N Braga, F X Aymerich, J Alonso, N Mongay-Ochoa, D Pareto, X Montalban, A Vidal-Jordana, J Sastre-Garriga, À Rovira
{"title":"Synthetic MRI in Progressive MS: Associations with Disability.","authors":"N Braga, F X Aymerich, J Alonso, N Mongay-Ochoa, D Pareto, X Montalban, A Vidal-Jordana, J Sastre-Garriga, À Rovira","doi":"10.3174/ajnr.A8605","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>Synthetic MRI (SyMRI) is a short-time acquisition sequence that generates different contrast-weighted images based on the measurement of tissue properties and provides quantitative volumetric, relaxation, and myelin maps. It has been used as an alternative to conventional MRI sequences in relapsing-remitting MS for detecting focal lesions and volumetric analysis. This study aimed to find an SyMRI variable associated with an Expanded Disability Status Scale (EDSS) ≥ 6 in progressive patients.</p><p><strong>Materials and methods: </strong>Twenty-four patients with progressive MS underwent SyMRI with a 2D axial QRAPMASTER pulse sequence. We analyzed volumetric parameters, global myelin fraction (MyCF), and quantitative values derived from maps of proton density, R1, R2, and myelin for the masks: normal-appearing white and gray matter, lesion, and corpus callosum. A <i>t</i> test compared SyMRI variables between groups, followed by univariate binary logistic regression for significant (<i>P</i> < .05) or trending results (<i>P</i> < .09).</p><p><strong>Results: </strong>Patients were categorized into 2 groups (EDSS < 6 versus ≥ 6). Variables with significant differences between groups were: brain parenchymal fraction (<i>P</i> = .05), white matter fraction (<i>P</i> = .05), MyCF (<i>P</i> = .04), and corpus callosum volume (<i>P</i> = .04). In the binary logistic regression analysis, the best predictor of the EDSS category was MyCF, with a <i>P</i> value of .08, and an OR of 0.59.</p><p><strong>Conclusions: </strong>Our results confirm differences in volumetric parameters by EDSS by using a single MRI acquisition. Additionally, higher MyCF values were associated with lower disability, highlighting SyMRI and myelin quantification as potential tools for clinical practice.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":"46 4","pages":"847-851"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJNR. American journal of neuroradiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3174/ajnr.A8605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and purpose: Synthetic MRI (SyMRI) is a short-time acquisition sequence that generates different contrast-weighted images based on the measurement of tissue properties and provides quantitative volumetric, relaxation, and myelin maps. It has been used as an alternative to conventional MRI sequences in relapsing-remitting MS for detecting focal lesions and volumetric analysis. This study aimed to find an SyMRI variable associated with an Expanded Disability Status Scale (EDSS) ≥ 6 in progressive patients.
Materials and methods: Twenty-four patients with progressive MS underwent SyMRI with a 2D axial QRAPMASTER pulse sequence. We analyzed volumetric parameters, global myelin fraction (MyCF), and quantitative values derived from maps of proton density, R1, R2, and myelin for the masks: normal-appearing white and gray matter, lesion, and corpus callosum. A t test compared SyMRI variables between groups, followed by univariate binary logistic regression for significant (P < .05) or trending results (P < .09).
Results: Patients were categorized into 2 groups (EDSS < 6 versus ≥ 6). Variables with significant differences between groups were: brain parenchymal fraction (P = .05), white matter fraction (P = .05), MyCF (P = .04), and corpus callosum volume (P = .04). In the binary logistic regression analysis, the best predictor of the EDSS category was MyCF, with a P value of .08, and an OR of 0.59.
Conclusions: Our results confirm differences in volumetric parameters by EDSS by using a single MRI acquisition. Additionally, higher MyCF values were associated with lower disability, highlighting SyMRI and myelin quantification as potential tools for clinical practice.