INTRODUCTION: Susceptibility weighted imaging depicts the perivenous extent of multiple sclerosis white matter lesions (MS-WML) in vivo by directly visualizing their centrally running vein. The aim of this study was to investigate the specificity of this finding for MS. METHODS: Fifteen patients with MS and 15 patients with microangiopathic white matter lesions (mWML) underwent 3T MRI, including a fluid-attenuated inversion recovery sequence (FLAIR) and a susceptibility weighted angiography (SWAN). All WMLs were identified on FLAIR and assigned to one of the following localizations: supratentorial peripheral, supratentorial periventricular, or infratentorial. Subsequently, the presence of a central vein within these lesions was assessed on SWAN. RESULTS: A total of 711 MS-WMLs and 1,119 m-WMLs were identified on FLAIR, all of which could also be visualized on SWAN. A central vein was detectable in 80% of the MS-WMLs and in 78% of the m-WMLs (in 73% and 76% of the peripheral, in 92% and 94% of the periventricular, and in 71% and 75% of the infratentorial MS-WMLs and m-WMLs, respectively). With regard to the supratentorial peripheral lesions, significantly more m-WMLs showed a central vein compared to the MS-WMLs. For the other localizations, there was no significant difference between the groups with regard to the percentage of lesions with central vein. CONCLUSIONS: Our results indicate that the detection of a central vein within a WML should not be considered a specific finding for MS; it is also found in WMLs of other etiologies.
INTRODUCTION: Susceptibility weighted imaging depicts the perivenous extent of multiple sclerosis white matter lesions (MS-WML) in vivo by directly visualizing their centrally running vein. The aim of this study was to investigate the specificity of this finding for MS. METHODS: Fifteen patients with MS and 15 patients with microangiopathic white matter lesions (mWML) underwent 3T MRI, including a fluid-attenuated inversion recovery sequence (FLAIR) and a susceptibility weighted angiography (SWAN). All WMLs were identified on FLAIR and assigned to one of the following localizations: supratentorial peripheral, supratentorial periventricular, or infratentorial. Subsequently, the presence of a central vein within these lesions was assessed on SWAN. RESULTS: A total of 711 MS-WMLs and 1,119 m-WMLs were identified on FLAIR, all of which could also be visualized on SWAN. A central vein was detectable in 80% of the MS-WMLs and in 78% of the m-WMLs (in 73% and 76% of the peripheral, in 92% and 94% of the periventricular, and in 71% and 75% of the infratentorial MS-WMLs and m-WMLs, respectively). With regard to the supratentorial peripheral lesions, significantly more m-WMLs showed a central vein compared to the MS-WMLs. For the other localizations, there was no significant difference between the groups with regard to the percentage of lesions with central vein. CONCLUSIONS: Our results indicate that the detection of a central vein within a WML should not be considered a specific finding for MS; it is also found in WMLs of other etiologies.
Authors: Ramona O Hopkins; Callie J Beck; David L Burnett; Lindell K Weaver; Jeff Victoroff; Erin D Bigler Journal: J Neuroimaging Date: 2006-07 Impact factor: 2.486
Authors: F E de Leeuw; J C de Groot; E Achten; M Oudkerk; L M Ramos; R Heijboer; A Hofman; J Jolles; J van Gijn; M M Breteler Journal: J Neurol Neurosurg Psychiatry Date: 2001-01 Impact factor: 10.154
Authors: Amir Eissa; R Marc Lebel; Jeff R Korzan; Anna E Zavodni; Kenneth G Warren; Ingrid Catz; Derek J Emery; Alan H Wilman Journal: J Magn Reson Imaging Date: 2009-10 Impact factor: 4.813
Authors: J-M Tillema; S D Weigand; M Dayan; Y Shu; O H Kantarci; C F Lucchinetti; J D Port Journal: AJNR Am J Neuroradiol Date: 2018-04-26 Impact factor: 3.825
Authors: Thomas Kau; Manuel Taschwer; Hannes Deutschmann; Martina Schönfelder; Jörg R Weber; Klaus A Hausegger Journal: Eur Radiol Date: 2013-02-22 Impact factor: 5.315
Authors: Iris D Kilsdonk; Mike P Wattjes; Alexandra Lopez-Soriano; Joost P A Kuijer; Marcus C de Jong; Wolter L de Graaf; Mandy M A Conijn; Chris H Polman; Peter R Luijten; Jeroen J G Geurts; Mirjam I Geerlings; Frederik Barkhof Journal: Eur Radiol Date: 2013-12-09 Impact factor: 5.315
Authors: James E Kelly; Soe Mar; Gina D'Angelo; Gongfu Zhou; Dhanashree Rajderkar; Tammie L S Benzinger Journal: Pediatr Neurol Date: 2014-10-16 Impact factor: 3.372
Authors: Ilena C George; Pascal Sati; Martina Absinta; Irene Cm Cortese; Elizabeth M Sweeney; Colin D Shea; Daniel S Reich Journal: Mult Scler Date: 2016-01-14 Impact factor: 6.312