2024
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke
Sommer J, Dierksen F, Zeevi T, Tran A, Avery E, Mak A, Malhotra A, Matouk C, Falcone G, Torres-Lopez V, Aneja S, Duncan J, Sansing L, Sheth K, Payabvash S. Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers In Artificial Intelligence 2024, 7: 1369702. PMID: 39149161, PMCID: PMC11324606, DOI: 10.3389/frai.2024.1369702.Peer-Reviewed Original ResearchEnd-to-endComputed tomography angiographyLarge vessel occlusionConvolutional neural networkDeep learning pipelineTrain separate modelsLogistic regression modelsResNet-50Deep learningAdmission computed tomography angiographyNeural networkLearning pipelineAdmission CT angiographyPreprocessing stepDiagnosis of large vessel occlusionsLarge vessel occlusion strokeReceiver operating characteristic areaEnsemble modelAutomated modelPre-existing morbidityCT angiographyReperfusion successNeurological examCross-validationOcclusion stroke
2020
Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke
Al-Dasuqi K, Payabvash S, Torres-Flores GA, Strander SM, Nguyen CK, Peshwe KU, Kodali S, Silverman A, Malhotra A, Johnson MH, Matouk CC, Schindler JL, Sansing LH, Falcone GJ, Sheth KN, Petersen NH. Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke. Stroke 2020, 51: e193-e202. PMID: 32781941, PMCID: PMC7484023, DOI: 10.1161/strokeaha.120.029892.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArterial Occlusive DiseasesCerebral InfarctionCohort StudiesCollateral CirculationComputed Tomography AngiographyEndovascular ProceduresFemaleHumansInfarction, Middle Cerebral ArteryLinear ModelsMagnetic Resonance AngiographyMaleMiddle AgedReperfusionRetrospective StudiesStrokeThrombectomyTreatment OutcomeWhite MatterConceptsLarge vessel occlusion strokeFinal infarct volumeCollateral statusPoor collateral statusFavorable outcomeInfarct distributionInfarct volumeReperfusion successIndependent predictorsOcclusion strokeInternal capsuleAnterior circulation large vessel occlusion ischemic strokeLarge vessel occlusion ischemic strokeDeep white matter tractsBaseline collateral statusBorder-zone infarctionEarly favorable outcomeEarly functional outcomesRankin Scale scoreCohort of patientsDegree of reperfusionLarge vessel occlusionComputed tomography angiographyDeep white matterMagnetic resonance imaging
2014
Risk Factors for Computed Tomography Angiography Spot Sign in Deep and Lobar Intracerebral Hemorrhage Are Shared
Radmanesh F, Falcone GJ, Anderson CD, Battey TW, Ayres AM, Vashkevich A, McNamara KA, Schwab K, Romero JM, Viswanathan A, Greenberg SM, Goldstein JN, Rosand J, Brouwers HB. Risk Factors for Computed Tomography Angiography Spot Sign in Deep and Lobar Intracerebral Hemorrhage Are Shared. Stroke 2014, 45: 1833-1835. PMID: 24876264, PMCID: PMC4116606, DOI: 10.1161/strokeaha.114.005276.Peer-Reviewed Original ResearchConceptsLobar intracerebral hemorrhageComputed tomography angiographyBaseline ICH volumeIntracerebral hemorrhagePrimary intracerebral hemorrhageSpot signTomography angiographyICH locationICH volumeMultivariable regressionChronic cerebral small vessel diseaseCerebral small vessel diseaseDeep intracerebral hemorrhageSmall vessel diseaseTomography angiography spot signLobar ICH patientsComputed tomography angiography spot signAvailable computed tomography angiographySpot sign presenceSymptom onsetICH patientsPoor outcomeVessel diseaseAcute manifestationsHematoma expansion