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
2016
CT Angiography Spot Sign, Hematoma Expansion, and Outcome in Primary Pontine Intracerebral Hemorrhage
Morotti A, Jessel MJ, Brouwers HB, Falcone GJ, Schwab K, Ayres AM, Vashkevich A, Anderson CD, Viswanathan A, Greenberg SM, Gurol ME, Romero JM, Rosand J, Goldstein JN. CT Angiography Spot Sign, Hematoma Expansion, and Outcome in Primary Pontine Intracerebral Hemorrhage. Neurocritical Care 2016, 25: 79-85. PMID: 26759226, PMCID: PMC4940347, DOI: 10.1007/s12028-016-0241-2.Peer-Reviewed Original ResearchConceptsPrimary pontine hemorrhagePositive predictive valueSupratentorial intracerebral hemorrhageIntracerebral hemorrhageHematoma expansionHospital mortalitySpot signNegative predictive valuePredictive valueNon-contrast CT scanCT angiography spot signAbsolute hematoma growthBrainstem ICHTomography angiography spot signConsecutive ICH patientsComputer-assisted volumetric analysisSpot sign presenceNegative likelihood ratioCTA spot signCollected cohortICH patientsPontine hemorrhagePPH casesHematoma growthHematoma volume