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
2020
Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis
Tulipani L, Meyer B, Larie D, Solomon A, McGinnis R. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis. Gait & Posture 2020, 80: 361-366. PMID: 32615409, PMCID: PMC7413823, DOI: 10.1016/j.gaitpost.2020.06.014.Peer-Reviewed Original ResearchConceptsInertial sensorsAccelerometer-based approachFall riskBalance confidenceWearable inertial sensorsStand-to-sit transitionsTriaxial acceleration dataFall statusWearable sensorsAccelerometer-based metricsMeasures of disease severityAccelerometer featuresSelf-report outcome measuresChair stand testWearable accelerometersAccelerometer-derived metricsSit-to-standSit-stand transitionsAccuracy of functional assessmentsChallenging taskMetricsSensorClinical metricsAcceleration dataLogistic regression models
2015
Detection of postural sway abnormalities by wireless inertial sensors in minimally disabled patients with multiple sclerosis: a case–control study
Solomon A, Jacobs J, Lomond K, Henry S. Detection of postural sway abnormalities by wireless inertial sensors in minimally disabled patients with multiple sclerosis: a case–control study. Journal Of NeuroEngineering And Rehabilitation 2015, 12: 74. PMID: 26324067, PMCID: PMC4556213, DOI: 10.1186/s12984-015-0066-9.Peer-Reviewed Original ResearchConceptsActivities-specific Balance ConfidenceWireless inertial sensorsBalance impairmentMSWS-12Postural swayExpanded Disability Status ScaleMobility impairmentsPatient reportsMeasures of postural swayTimed 25-Foot WalkMS Walking ScaleMSWS-12 scoresImpaired gait speedSway path lengthResultsThe regression modelPredictors of group statusRegression modelsEyes-open conditionLogistic regression modelsCase-control studyBalance confidenceGait speedInertial sensorsInertial motion sensorsInstrumented sway