Central vein sign: comparison of multiple sclerosis and leukoaraiosis.


Journal

Turkish journal of medical sciences
ISSN: 1303-6165
Titre abrégé: Turk J Med Sci
Pays: Turkey
ID NLM: 9441758

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 09 05 2022
accepted: 21 09 2022
entrez: 22 3 2023
pubmed: 23 3 2023
medline: 24 3 2023
Statut: ppublish

Résumé

Leukoaraiosis produces white matter lesions (WML) similar to multiple sclerosis (MS) on brain magnetic resonance imaging (MRI), and the distinction between these two conditions is difficult radiologically. This study aimed to investigate the role of the central vein sign (CVS) in susceptibility-weighted imaging (SWI) sequence in distinguishing MS lesions from leukoaraiosis lesions in Turkish population. In this prospective study, axial SWI and sagittal three-dimensional fluid-attenuated inversion recovery (3DFLAIR) were obtained in 374 consecutive patients. The study consisted of 169 (89 MS patients, 80 patients with leukoaraiosis) patients according to the inclusion and exclusion criteria. Two observers evaluated MR images by consensus, and observers were unaware of the patient's clinical findings. Locations (periventricular, juxtacortical, and deep white matter) and the presence of CVS were investigated for each of the lesions. Differences between patients in the leukoaraiosis and MS groups were investigated using the Mann-Whitney U test or chi-square analysis. In addition, receiver operating characteristic (ROC) analysis was used to analyze the diagnostic performance of CVS. A total of 1908 WMLs (1265 MS lesions, 643 leukoaraiosis) were detected in 169 patients. The CVS was significantly higher in the MS lesions (p < 0.001). The CVS positivity rate in periventricular WMLs was higher than in juxtacortical WMLs or deep WMLs, both for all patients and for patients with MS (p < 0.001). The area under the curve (AUC) of the ROC analysis was 0.88 (95% confidence interval 0.83-0.93) for CVS in the distinction of MS lesions and leukoaraiosis. The presence of CVS in the SWI sequence can be used as an auxiliary finding for the diagnosis of MS in the differentiation of MS and leukoaraiosis lesions.

Sections du résumé

BACKGROUND BACKGROUND
Leukoaraiosis produces white matter lesions (WML) similar to multiple sclerosis (MS) on brain magnetic resonance imaging (MRI), and the distinction between these two conditions is difficult radiologically. This study aimed to investigate the role of the central vein sign (CVS) in susceptibility-weighted imaging (SWI) sequence in distinguishing MS lesions from leukoaraiosis lesions in Turkish population.
METHODS METHODS
In this prospective study, axial SWI and sagittal three-dimensional fluid-attenuated inversion recovery (3DFLAIR) were obtained in 374 consecutive patients. The study consisted of 169 (89 MS patients, 80 patients with leukoaraiosis) patients according to the inclusion and exclusion criteria. Two observers evaluated MR images by consensus, and observers were unaware of the patient's clinical findings. Locations (periventricular, juxtacortical, and deep white matter) and the presence of CVS were investigated for each of the lesions. Differences between patients in the leukoaraiosis and MS groups were investigated using the Mann-Whitney U test or chi-square analysis. In addition, receiver operating characteristic (ROC) analysis was used to analyze the diagnostic performance of CVS.
RESULTS RESULTS
A total of 1908 WMLs (1265 MS lesions, 643 leukoaraiosis) were detected in 169 patients. The CVS was significantly higher in the MS lesions (p < 0.001). The CVS positivity rate in periventricular WMLs was higher than in juxtacortical WMLs or deep WMLs, both for all patients and for patients with MS (p < 0.001). The area under the curve (AUC) of the ROC analysis was 0.88 (95% confidence interval 0.83-0.93) for CVS in the distinction of MS lesions and leukoaraiosis.
DISCUSSION CONCLUSIONS
The presence of CVS in the SWI sequence can be used as an auxiliary finding for the diagnosis of MS in the differentiation of MS and leukoaraiosis lesions.

Identifiants

pubmed: 36945994
doi: 10.55730/1300-0144.5541
pmc: PMC10390208
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1933-1942

Références

Biol Psychiatry. 2008 Aug 15;64(4):273-80
pubmed: 18471801
Neuroradiol J. 2018 Aug;31(4):356-361
pubmed: 29565219
Lancet Neurol. 2018 Feb;17(2):162-173
pubmed: 29275977
Rev Neurol (Paris). 2018 Jun;174(6):391-397
pubmed: 29784248
JAMA Neurol. 2013 May;70(5):623-8
pubmed: 23529352
Neurology. 2012 Jun 12;78(24):1986-91
pubmed: 22581930
Neurology. 2018 Apr 3;90(14):e1183-e1190
pubmed: 29514948
Ann Neurol. 2018 Feb;83(2):283-294
pubmed: 29328521
Mult Scler. 2020 Apr;26(4):433-441
pubmed: 31668125
Front Neurol. 2015 Mar 17;6:56
pubmed: 25852635
JAMA Neurol. 2018 Nov 1;75(11):1392-1398
pubmed: 30083703
Mult Scler. 2016 Sep;22(10):1289-96
pubmed: 26658816
Sci Rep. 2019 Dec 3;9(1):18188
pubmed: 31796822
Neuroradiology. 2011 May;53(5):311-7
pubmed: 20585764
Diagnostics (Basel). 2020 Nov 29;10(12):
pubmed: 33260401
Mult Scler. 2020 Apr;26(4):421-432
pubmed: 31536435
BMC Neurol. 2011 Oct 19;11:128
pubmed: 22011402
AJNR Am J Neuroradiol. 2020 Jun;41(6):1001-1008
pubmed: 32439639
Clin Radiol. 2020 Jun;75(6):479.e9-479.e15
pubmed: 32143784
Nat Rev Neurol. 2016 Dec;12(12):714-722
pubmed: 27834394
Neurology. 2016 Sep 27;87(13):1393-9
pubmed: 27581217
Lancet Neurol. 2016 Mar;15(3):292-303
pubmed: 26822746
AJNR Am J Neuroradiol. 2000 Jun-Jul;21(6):1039-42
pubmed: 10871010
AJNR Am J Neuroradiol. 2009 Jan;30(1):19-30
pubmed: 19039041
J Neuroimaging. 2017 Jan;27(1):114-121
pubmed: 27300318
N Engl J Med. 2000 Sep 28;343(13):938-52
pubmed: 11006371
J Comput Assist Tomogr. 2015 May-Jun;39(3):317-20
pubmed: 25783798
Eur Radiol. 2013 Jul;23(7):1956-62
pubmed: 23436147
J Magn Reson Imaging. 2009 May;29(5):1190-4
pubmed: 19388109
JAMA Neurol. 2019 Dec 1;76(12):1446-1456
pubmed: 31424490
Radiology. 2002 Apr;223(1):46-56
pubmed: 11930047
Neurology. 2011 Feb 8;76(6):534-9
pubmed: 21300968

Auteurs

Hüseyin Gökhan Yavaş (HG)

Department of Radiology, Ahi Evran University Kırşehir Education and Research Hospital, Kırşehir, Turkey.

Ergin Sağtaş (E)

Department of Radiology, Faculty of Medicine, Pamukkale University, Denizli, Turkey.

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