Dilated perivascular spaces and fatigue: is there a link? Magnetic resonance retrospective 3Tesla study

Introduction Fatigue (F) is a common, inexplicable, and disabling symptom in multiple sclerosis (MS) patients. The purpose of this study was to evaluate a possible correlation between fatigue and morpho-volumetric features and site of dilated perivascular spaces (dPS), visible on 3T magnetic resonan...

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Published inNeuroradiology Vol. 58; no. 9; pp. 859 - 866
Main Authors Conforti, Renata, Cirillo, Mario, Sardaro, Angela, Caiazzo, Giuseppina, Negro, Alberto, Paccone, Antonella, Sacco, Rosaria, Sparaco, Maddalena, Gallo, Antonio, Lavorgna, Luigi, Tedeschi, Gioacchino, Cirillo, Sossio
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016
Springer Nature B.V
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ISSN0028-3940
1432-1920
DOI10.1007/s00234-016-1711-0

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Summary:Introduction Fatigue (F) is a common, inexplicable, and disabling symptom in multiple sclerosis (MS) patients. The purpose of this study was to evaluate a possible correlation between fatigue and morpho-volumetric features and site of dilated perivascular spaces (dPS), visible on 3T magnetic resonance (MR) in fatigued multiple sclerosis patients (FMS). Methods We studied 82 relapsing remitting (RR) FMS patients and 43 HC, matched for age, sex, and education. F was assessed by the Fatigue Severity Scale (FSS). To evaluate a possible correlation between degree of F and characteristics of dPS, patients were divided in two groups: more (mFMS) (FSS ≥ 5; n  = 30) and less fatigued (lFMS) (FSS ≥ 4; n  = 52), compared to a matched healthy control (HC) subject group. The MR study was performed with 3T scanner by SpinEcho T1, Fast-SpinEcho DP-T2, FLAIR, and 3D FSPGR T1 sequences. dPS volumes were measured with Medical Image Processing Analysis and Visualization (MIPAV); Global Cerebral Atrophy (GCA), expressed as Brain Parenchymal Fraction (BPF), was assessed by FSL SIENAX. Results The t test showed significantly increased dPS number ( p  = 0.021) in FMS patients (mFMS p  = 0.0024 and lFMS p  = 0.033) compared to HC. Pearson correlation revealed a significant correlation between dPS number and FSS ( r  = 0.208 p  = 0.051). Furthermore, the chi-squared test confirms the intragroup (HC, mFMS, lFMS) differences about dPS location ( p  = 0.01) and size ( p  = 0.0001). Conclusion Our study confirms that PS in MS patients presents with different volumetric and site characteristics as compared to HC; moreover, F severity significantly correlates with dPS number, site, and size.
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ISSN:0028-3940
1432-1920
DOI:10.1007/s00234-016-1711-0