2024
Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies
Sharma R, de Havenon A, Rivier C, Payabvash S, Forman R, Krumholz H, Falcone G, Sheth K, Kernan W. Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies. BMJ Neurology Open 2024, 6: e000501. PMID: 38288313, PMCID: PMC10823923, DOI: 10.1136/bmjno-2023-000501.Peer-Reviewed Original ResearchVascular brain injurySlow walkingAtherosclerosis RiskMobility impairmentsAssociated with mobility impairmentImpaired mobilityUK Biobank (UKBStroke-free cohortMarkers of vascular brain injuryAdjusted multivariate logistic regression analysisGait dataMultivariate logistic regression analysisCommunity-dwellingLogistic regression analysisBrain injuryARICUKBInclusion criteriaStudy cohortWalkingClinical strokeRegression analysisImpaired outcomeMRI markersStudy background
2020
Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage
Biffi A, Urday S, Kubiszewski P, Gilkerson L, Sekar P, Rodriguez-Torres A, Bettin M, Charidimou A, Pasi M, Kourkoulis C, Schwab K, DiPucchio Z, Behymer T, Osborne J, Morgan M, Moomaw CJ, James ML, Greenberg SM, Viswanathan A, Gurol ME, Worrall BB, Testai FD, McCauley JL, Falcone GJ, Langefeld CD, Anderson CD, Kamel H, Woo D, Sheth KN, Rosand J. Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage. Stroke 2020, 51: 2153-2160. PMID: 32517581, PMCID: PMC7311289, DOI: 10.1161/strokeaha.120.028310.Peer-Reviewed Original ResearchConceptsCortical superficial siderosisICH recurrenceCerebral microbleedsSuperficial siderosisIntracerebral hemorrhageRecurrent ICHMRI markersOral anticoagulation therapyPotent risk factorRecurrent hemorrhagic strokeLongitudinal cohort studyLow-risk categoryLow-risk individualsΕ2/ε4ICH survivorsAnticoagulation therapyCohort studyHemorrhagic strokeProspective studyRecurrence rateΕ4 variantRisk factorsClinical impactERICH studyΕ4 allele
2019
Prediction of Hypoxia in Brain Tumors Using a Multivariate Model Built from MR Imaging and 18F-Fluorodeoxyglucose Accumulation Data
Shimizu Y, Kudo K, Kameda H, Harada T, Fujima N, Toyonaga T, Tha KK, Shirato H. Prediction of Hypoxia in Brain Tumors Using a Multivariate Model Built from MR Imaging and 18F-Fluorodeoxyglucose Accumulation Data. Magnetic Resonance In Medical Sciences 2019, 19: 227-234. PMID: 31611541, PMCID: PMC7553805, DOI: 10.2463/mrms.mp.2019-0049.Peer-Reviewed Original ResearchConceptsF-fluorodeoxyglucoseBrain tumorsMultivariate modelVascular permeabilityBlood flowExtent of hypoxiaReceiver-operating characteristic curve analysisPositron emission tomography scanMultivariate prediction modelMultivariate logistic regression modelDynamic contrast-enhanced perfusionEmission tomography scanCharacteristic curve analysisContrast-enhanced perfusionLogistic regression modelsPrediction of hypoxiaGlycometabolism parametersUnivariate analysisMRI markersTomography scanF-fluoromisonidazoleMRI scansArterial spin labeling imagesMRI parametersMR imaging
2011
Potential utility of conventional MRI signs in diagnosing pseudoprogression in glioblastoma
Young R, Gupta A, Shah A, Graber J, Zhang Z, Shi W, Holodny A, Omuro A. Potential utility of conventional MRI signs in diagnosing pseudoprogression in glioblastoma. Neurology 2011, 76: 1918-1924. PMID: 21624991, PMCID: PMC3115805, DOI: 10.1212/wnl.0b013e31821d74e7.Peer-Reviewed Original ResearchConceptsEarly progressionMRI signsNegative predictive valuePredictive valueFinal diagnosisHigh negative predictive valueUseful MRI markerFisher's exact testSubependymal spreadSecond resectionRetrospective studyMass lesionSurgical specimensMRI markersPotential utilityClinical physiciansExact testMRI scansPatientsSubependymal enhancementLesionsGlioblastomaPseudoprogressionSignsDiagnosis
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