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 strokeRadiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke
Avery E, Abou-Karam A, Abi-Fadel S, Behland J, Mak A, Haider S, Zeevi T, Sanelli P, Filippi C, Malhotra A, Matouk C, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S. Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics 2024, 14: 485. PMID: 38472957, PMCID: PMC10930945, DOI: 10.3390/diagnostics14050485.Peer-Reviewed Original ResearchCollateral statusCollateral scoreLarge vessel occlusionAcute LVO strokeRadiomics modelTest cohortCT angiography of patientsAdmission computed tomography angiographyAnterior circulation territoryAngiography of patientsLong-term outcomesReceiver operating characteristic areaRadiomics-based predictionCollateral arterial circulationOperating characteristics areaAdmission CTACirculation territoryCT angiographyClinical outcomesRadiomic featuresTreatment triageOcclusion strokeVessel occlusionPatientsArterial circulation
2020
CT Angiography for Triage of Patients with Acute Minor Stroke: A Cost-effectiveness Analysis.
Wu X, Hughes DR, Gandhi D, Matouk CC, Sheth K, Schindler J, Wira C, Wintermark M, Sanelli P, Malhotra A. CT Angiography for Triage of Patients with Acute Minor Stroke: A Cost-effectiveness Analysis. Radiology 2020, 294: 580-588. PMID: 31934828, DOI: 10.1148/radiol.2019191238.Peer-Reviewed Original ResearchConceptsLarge vessel occlusionAcute minor strokeBest medical managementMinor strokeCT angiographyMedical managementProbabilistic sensitivity analysesLower health benefitsImmediate thrombectomyHealth benefitsHealth outcomesVascular imagingAcute ischemic strokeMarkov decision-analytic modelWorse health outcomesImproved health outcomesDecision analytic modelNet monetary benefitIntravenous thrombolysisIschemic strokeYounger patientsThrombectomy strategyPatientsAngiographyStroke
2018
Letter to the editor regarding “Utility of CT angiography in screening for traumatic cerebrovascular injury”
Malhotra A, Wu X, Seifert K, Tu LH. Letter to the editor regarding “Utility of CT angiography in screening for traumatic cerebrovascular injury”. Clinical Neurology And Neurosurgery 2018, 176: 138. PMID: 30446415, DOI: 10.1016/j.clineuro.2018.11.003.Peer-Reviewed Original ResearchThe Patient with Thunderclap Headache
Malhotra A, Wu X, Gandhi D, Sanelli P. The Patient with Thunderclap Headache. Neuroimaging Clinics Of North America 2018, 28: 335-351. PMID: 30007749, DOI: 10.1016/j.nic.2018.03.002.Peer-Reviewed Original ResearchConceptsSubarachnoid hemorrhageThunderclap headacheCT angiographyConvexity subarachnoid hemorrhageHours of onsetPerimesencephalic subarachnoid hemorrhageNegative CT angiographyPattern of bloodCommon presentationEmergency departmentEarly diagnosisPatientsMR imagingMultiple causesHeadacheAngiographyHemorrhageBloodDiagnosisCT
2016
The Use of High-Risk Criteria in Screening Patients for Blunt Cerebrovascular Injury A Survey
Wu X, Malhotra A, Forman HP, Nunez D, Sanelli P. The Use of High-Risk Criteria in Screening Patients for Blunt Cerebrovascular Injury A Survey. Academic Radiology 2016, 24: 456-461. PMID: 27979639, DOI: 10.1016/j.acra.2016.11.010.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelCerebral AngiographyCerebrovascular TraumaComputed Tomography AngiographyDatabases, FactualDelayed DiagnosisEmergency Service, HospitalHumansMagnetic Resonance AngiographyMass ScreeningRadiologistsRisk AssessmentRisk FactorsSurveys and QuestionnairesUnited StatesWounds, NonpenetratingConceptsBlunt cerebrovascular injuryRisk factorsEmergency departmentCT angiographyDenver criteriaMR angiographyC1-C3 fracturesUtilization of imagingCerebrovascular injuryBlunt injuryBlunt traumaScreening ratesAngiographic studiesLarge academic institutionVascular injuryScreening patientsPatientsPreferred modalityRoutine useInjurySubsequent strokeAngiographyScreening criteriaPhysiciansRadiologists