2024
Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal 2024, 23969873241260154. PMID: 38880882, DOI: 10.1177/23969873241260154.Peer-Reviewed Original ResearchIntracerebral hemorrhage scoreNon-contrast CT scanIntracerebral hemorrhageCT scanFUNC scoreIntracerebral hemorrhage patientsNon-contrast CTFunctional impairmentSevere disabilityDependent living statusLong-term functional impairmentC-indexPrognostic toolFunctional outcomesTreatment decisionsAcute settingClinical implementationRehabilitation strategiesDependent livingPatientsPredicting functional impairmentLong-term care needsPlanning of patient careDeep learning modelsHemorrhage
2023
Cost-Effectiveness of CT, CTA, MRI, and Specialized MRI for Evaluation of Patients Presenting to the Emergency Department With Dizziness.
Tu L, Melnick E, Venkatesh A, Sheth K, Navaratnam D, Yaesoubi R, Forman H, Mahajan A. Cost-Effectiveness of CT, CTA, MRI, and Specialized MRI for Evaluation of Patients Presenting to the Emergency Department With Dizziness. American Journal Of Roentgenology 2023, 222: e2330060. PMID: 37937837, DOI: 10.2214/ajr.23.30060.Peer-Reviewed Original ResearchQuality-adjusted life yearsEvaluation of patientsSecondary prevention measuresEmergency departmentProbabilistic sensitivity analysesConventional MRICumulative quality-adjusted life yearsCost-effective strategyIncremental costNoncontrast CT headAcute stroke treatmentSpecialized MRISelection of patientsHigher quality-adjusted life yearsConventional brain MRIMarkov decision-analytic modelNon-contrast CTNoncontrast head CTHealthcare system perspectiveUse of MRIBase-case analysisPrevention measuresDecision analytic modelGreater quality-adjusted life yearsDeterministic sensitivity analysesRadiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers
Haider S, Qureshi A, Jain A, Tharmaseelan H, Berson E, Zeevi T, Werring D, Gross M, Mak A, Malhotra A, Sansing L, Falcone G, Sheth K, Payabvash S. Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers. Frontiers In Neuroscience 2023, 17: 1225342. PMID: 37655013, PMCID: PMC10467422, DOI: 10.3389/fnins.2023.1225342.Peer-Reviewed Original ResearchIndependent validation cohortIntracerebral hemorrhageRadiomic featuresValidation cohortClinical variablesHematoma expansionSpontaneous supratentorial intracerebral hemorrhageNon-contrast head CTSupratentorial intracerebral hemorrhageTomography (CT) of patientsNon-contrast headFuture clinical trialsNon-contrast CTIntracerebral Hemorrhage ExpansionHigh predictive valueBAT scoreHypertensive patientsClinical predictorsPrognostic relevanceFunctional outcomeClinical trialsHead CTHemorrhage expansionClinical trial datasetDiscovery cohort