Sensitivity and Specificity of Central Vein Sign as a Diagnostic Biomarker in Egyptian Patients with Multiple Sclerosis

References

• Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162–173. PMID: 29275977. doi:10.1016/S1474-4422(17)30470-2
   PubMed Web of Science ®Google Scholar
• Geraldes R, Ciccarelli O, Barkhof F, et al.; Jacqueline Palace on behalf of the MAGNIMS study group. The current role of MRI in differentiating multiple sclerosis from its imaging mimics. Nat Rev Neurol. 2018;14(4):213. Erratum for: Nat Rev Neurol. 2018 Mar 09. PMID: 29582852. doi:10.1038/nrneurol.2018.39
   PubMed Web of Science ®Google Scholar
• Huh SY, Min JH, Kim W, et al. The usefulness of brain MRI at onset in the differentiation of multiple sclerosis and seropositive neuromyelitis optica spectrum disorders. Mult Scler. 2014;20(6):695–704. PMID: 24072726. doi:10.1177/1352458513506953
   PubMed Web of Science ®Google Scholar
• Liu S, Kullnat J, Bourdette D, et al. Prevalence of brain magnetic resonance imaging meeting Barkhof and McDonald criteria for dissemination in space among headache patients. Mult Scler. 2013;19(8):1101–1105. PMID: 23380650. doi:10.1177/1352458512471874
   Web of Science ®Google Scholar
• Sati P, Oh J, Constable RT, et al.; NAIMS Cooperative. The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American imaging in multiple sclerosis cooperative. Nat Rev Neurol. 2016;12(12):714–722. PMID: 27834394. doi:10.1038/nrneurol.2016.166
   PubMed Web of Science ®Google Scholar
• Mistry N, Abdel-Fahim R, Samaraweera A, et al. Imaging central veins in brain lesions with 3-T T2*-weighted magnetic resonance imaging differentiates multiple sclerosis from microangiopathic brain lesions. Mult Scler. 2016;22(10):1289–1296. PMID: 26658816. doi:10.1177/1352458515616700
   PubMed Web of Science ®Google Scholar
• Solomon AJ, Schindler MK, Howard DB, et al. “Central vessel sign” on 3T FLAIR* MRI for the differentiation of multiple sclerosis from migraine. Ann Clin Transl Neurol. 2015;3(2):82–87. PMID: 26900578; PMCID: PMC4748312. doi:10.1002/acn3.273
   Web of Science ®Google Scholar
• Tallantyre EC, Dixon JE, Donaldson I, et al. Ultra-high-field imaging distinguishes MS lesions from asymptomatic white matter lesions. Neurology. 2011;76(6):534–539. PMID: 21300968; PMCID: PMC3053180. doi:10.1212/WNL.0b013e31820b7630
   PubMed Web of Science ®Google Scholar
• Kilsdonk ID, Wattjes MP, Lopez-Soriano A, et al. Improved differentiation between MS and vascular brain lesions using FLAIR* at 7 Tesla. Eur Radiol. 2014;24(4):841–849. PMID: 24317461. doi:10.1007/s00330-013-3080-y
   PubMed Web of Science ®Google Scholar
• Solomon AJ, Watts R, Ontaneda D, Absinta M, Sati P, Reich DS. Diagnostic performance of central vein sign for multiple sclerosis with a simplified three-lesion algorithm. Mult Scler J. 2018;24(6):750–757. doi:10.1177/1352458517726383
   PubMed Web of Science ®Google Scholar
• Mistry N, Dixon J, Tallantyre E, et al. Central veins in brain lesions visualized with high-field magnetic resonance imaging: a pathologically specific diagnostic biomarker for inflammatory demyelination in the brain. JAMA Neurol. 2013;70(5):623–628. PMID: 23529352. doi:10.1001/jamaneurol.2013.1405
   Web of Science ®Google Scholar
• Okuda DT, Mowry EM, Beheshtian A, et al. Incidental MRI anomalies suggestive of multiple sclerosis: the radiologically isolated syndrome. Neurology. 2009;72(9):800–805. Erratum in: Neurology. 2009 Apr 7;72(14):1284. PMID: 19073949. doi:10.1212/01.wnl.0000335764.14513.1a
   PubMed Web of Science ®Google Scholar
• Clarke MA, Samaraweera AP, Falah Y, et al. Single test to ARrive at multiple sclerosis (STAR-MS) diagnosis: a prospective pilot study assessing the accuracy of the central vein sign in predicting multiple sclerosis in cases of diagnostic uncertainty. Mult Scler. 2020;26(4):433–441. PMID: 31668125. doi:10.1177/1352458519882282
   PubMed Web of Science ®Google Scholar
• Anan RA, El-Adalany MA, Belal TMI, Elmogy SAE. Detection of central veins using susceptibility weighted imaging (SWI) for discrimination between lesions in multiple sclerosis (MS) and cerebral small vessel disease (CSVD). Egypt J Radiol Nucl Med. 2020;51(1):63. doi:10.1186/s43055-020-00185-3
   Google Scholar
• Sparacia G, Agnello F, Gambino A, Sciortino M, Midiri M. Multiple sclerosis: high prevalence of the ‘central vein’ sign in white matter lesions on susceptibility-weighted images. Neuroradiol J. 2018;31(4):356–361. PMID: 29565219; PMCID: PMC6111438. doi:10.1177/1971400918763577
   Web of Science ®Google Scholar
• Suh CH, Kim SJ, Jung SC, Choi CG, Kim HS. The “Central Vein Sign” on T2*-weighted images as a diagnostic tool in multiple sclerosis: a systematic review and meta-analysis using individual patient data. Sci Rep. 2019;9(1):18188. PMID: 31796822; PMCID: PMC6890741. doi:10.1038/s41598-019-54583-3
   Web of Science ®Google Scholar
• Castellaro M, Tamanti A, Pisani AI, Pizzini FB, Crescenzo F, Calabrese M. The use of the central vein sign in the diagnosis of multiple sclerosis: a systematic review and meta-analysis. Diagnostics. 2020;10(12):1025. PMID: 33260401; PMCID: PMC7760678. doi:10.3390/diagnostics10121025
   Web of Science ®Google Scholar
• Arrambide G, Tintore M, Espejo C, et al. The value of oligoclonal bands in the multiple sclerosis diagnostic criteria. Brain. 2018;141(4):1075–1084. PMID: 29462277. doi:10.1093/brain/awy006
   PubMed Web of Science ®Google Scholar
• Patrucco L, Rojas JI, Cristiano E. Assessing the value of spinal cord lesions in predicting development of multiple sclerosis in patients with clinically isolated syndromes. J Neurol. 2012;259(7):1317–1320. PMID: 22179784. doi:10.1007/s00415-011-6345-x
   Web of Science ®Google Scholar
• Hamedani AG, Rose KM, Peterlin BL, et al. Migraine and white matter hyperintensities: the ARIC MRI study. Neurology. 2013;81(15):1308–1313. doi:10.1212/WNL.0b013e3182a8235b
   PubMed Web of Science ®Google Scholar