Featured Publications
Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial
Ontaneda D, Sati P, Raza P, Kilbane M, Gombos E, Alvarez E, Azevedo C, Calabresi P, Cohen JA, Freeman L, Henry RG, Longbrake EE, Mitra N, Illenberger N, Schindler M, Moreno-Dominguez D, Ramos M, Mowry E, Oh J, Rodrigues P, Chahin S, Kaisey M, Waubant E, Cutter G, Shinohara R, Reich DS, Solomon A, Sicotte NL, Cooperative N. Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial. NeuroImage Clinical 2021, 32: 102834. PMID: 34592690, PMCID: PMC8482479, DOI: 10.1016/j.nicl.2021.102834.Peer-Reviewed Original ResearchConceptsCentral vein signDiagnosis of MSMultiple sclerosisDiagnostic biomarkersMcDonald criteriaVein signProspective multicenter trialCross-sectional studyNumerous cross-sectional studiesNorth American ImagingNeuroradiologist reviewMulticenter trialAtypical presentationMulticenter studyTypical presentationSectional studyStudy protocolClinical careMS lesionsCentral readersEcho-planar MRIDiagnostic criteriaMS misdiagnosisMRI biomarkersMajor cause
2024
Multicenter automated central vein sign detection performs as well as manual assessment for the diagnosis of multiple sclerosis.
Manning A, Letchuman V, Martin M, Gombos E, Roberts-Fitzgerald T, Cao Q, Raza P, O'Donnell C, Renner B, Daboul L, Rodrigues P, Ramos M, Derbyshire J, Azevedo C, Bar-Or A, Caverzasi E, Calabresi P, Cree B, Freeman L, Henry R, Longbrake E, Oh J, Papinutto N, Pelletier D, Samudralwar R, Suthiphosuwan S, Schindler M, Bilello M, Song J, Sotirchos E, Sicotte N, Al-Louzi O, Solomon A, Reich D, Ontaneda D, Sati P, Shinohara R. Multicenter automated central vein sign detection performs as well as manual assessment for the diagnosis of multiple sclerosis. American Journal Of Neuroradiology 2024 PMID: 39332906, DOI: 10.3174/ajnr.a8510.Peer-Reviewed Original ResearchCentral vein signCVS+ lesionsWhite matter lesionsMultiple sclerosisMulticenter studyProportions of white matter lesionsSuspicion of MSReceiver-operating characteristic curveFluid-attenuated inversion recoveryDiagnosis of multiple sclerosisDiagnosis of MSMagnetic resonance imagingAtypical clinical syndromeRadiological mimicsClinical syndromeDiagnostic imaging biomarkersManual assessmentT MRIClinical implementationImaging biomarkersLesionsInversion recoveryResonance imagingCharacteristic curveInter-rater reliability
2023
A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis
Daboul L, O’Donnell C, Amin M, Rodrigues P, Derbyshire J, Azevedo C, Bar-Or A, Caverzasi E, Calabresi P, Cree B, Freeman L, Henry R, Longbrake E, Oh J, Papinutto N, Pelletier D, Prchkovska V, Raza P, Ramos M, Samudralwar R, Schindler M, Sotirchos E, Sicotte N, Solomon A, Shinohara R, Reich D, Sati P, Ontaneda D. A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis. Multiple Sclerosis Journal 2023, 30: 25-34. PMID: 38088067, PMCID: PMC11037932, DOI: 10.1177/13524585231214360.Peer-Reviewed Original ResearchConceptsCentral vein signMultiple sclerosisPositive lesionsInter-rater agreementDiagnosis of MSMagnetic resonance imaging (MRI) biomarkersDiagnostic performancePossible multiple sclerosisInter-rater reliability assessmentGood diagnostic performanceMcDonald criteriaMulticenter studyVein assessmentMean ageVein signImaging biomarkersLesionsMRI sequencesCharacteristic curveSclerosisPatientsDiagnosisAssessmentParticipantsOptimal method
2016
The spectrum of multiple sclerosis misdiagnosis in the era of McDonald criteria: A multicenter study (PL01.003)
Solomon A, Bourdette D, Cross A, Applebee A, Skidd P, Howard D, Spain R, Cameron M, Kim E, Mass M, Yadav V, Whitham R, Longbrake E, Naismith R, Wu G, Parks B, Wingerchuk D, Rabin B, Toledano M, Tobin W, Kantarci O, Carter J, Keegan B, Weinshenker B. The spectrum of multiple sclerosis misdiagnosis in the era of McDonald criteria: A multicenter study (PL01.003). Neurology 2016, 86 DOI: 10.1212/wnl.86.16_supplement.pl01.003.Peer-Reviewed Original Research