2022
Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports
Torres-Lopez VM, Rovenolt GE, Olcese AJ, Garcia GE, Chacko SM, Robinson A, Gaiser E, Acosta J, Herman AL, Kuohn LR, Leary M, Soto AL, Zhang Q, Fatima S, Falcone GJ, Payabvash MS, Sharma R, Struck AF, Sheth KN, Westover MB, Kim JA. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports. JAMA Network Open 2022, 5: e2227109. PMID: 35972739, PMCID: PMC9382443, DOI: 10.1001/jamanetworkopen.2022.27109.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBrain InjuriesHumansNatural Language ProcessingResearch ReportTomography, X-Ray ComputedConceptsNatural language processingF-scoreTest data setsLanguage processingIndependent test data setsData setsBidirectional Encoder RepresentationsAcute brain injuryLarge data setsHead CTBrain injuryNLP toolsF1 scoreNER modelTransformer architectureClinical textEncoder RepresentationsNLP algorithmNLP modelsCT reportsCustom dictionaryTraining setCross-validation performancePerformance metricsAvailable new toolsCT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke
Avery EW, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Griessenauer CJ, Zand R, Hendrix P, Abedi V, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke. NeuroImage Clinical 2022, 34: 103034. PMID: 35550243, PMCID: PMC9108990, DOI: 10.1016/j.nicl.2022.103034.Peer-Reviewed Original ResearchMeSH KeywordsArterial Occlusive DiseasesHumansRetrospective StudiesRisk AssessmentStrokeThrombectomyTomography, X-Ray ComputedTreatment OutcomeConceptsLarge vessel occlusion strokeIndependent cohortPrognostication toolsMechanical thrombectomyRisk stratificationOcclusion strokeExternal cohortAnterior circulation large vessel occlusion strokeOutcome predictionAcute stroke triageAnterior circulation territoryRadiomic featuresTime of admissionGeisinger Medical CenterLVO stroke patientsReliable clinical informationSignificant differencesAdmission CTAStroke patientsPrognostic informationFavorable outcomeStroke triageTreatment decisionsMedical CenterRadiomics signature
2021
Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Zeevi T, Majidi S, Filippi CG, Iseke S, Gross M, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population. European Journal Of Neurology 2021, 28: 2989-3000. PMID: 34189814, PMCID: PMC8818333, DOI: 10.1111/ene.15000.Peer-Reviewed Original ResearchConceptsAdmission Glasgow Coma ScaleGlasgow Coma ScaleRadiomics signatureMRS scoreHematoma volumeICH volumeClinical severityNoncontrast head CT scansAdmission National InstitutesHealth Stroke ScaleRankin Scale scoreStrong associationBaseline clinical severityMedium-term outcomesIndependent validation cohortHead CT scanATACH-2 trialStroke ScaleAdmission NIHSSIndependent predictorsClinical presentationComa ScaleBaseline CTICH patientsValidation cohort
2015
Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage
Brouwers HB, Battey TW, Musial HH, Ciura VA, Falcone GJ, Ayres AM, Vashkevich A, Schwab K, Viswanathan A, Anderson CD, Greenberg SM, Pomerantz SR, Ortiz CJ, Goldstein JN, Gonzalez RG, Rosand J, Romero JM. Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage. Stroke 2015, 46: 2498-2503. PMID: 26243220, PMCID: PMC4550492, DOI: 10.1161/strokeaha.115.009659.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCerebral AngiographyCerebral HemorrhageCohort StudiesDisease ProgressionFemaleHematomaHumansMaleMiddle AgedPrognosisSingle-Blind MethodTomography, X-Ray ComputedConceptsPrimary intracerebral hemorrhageHematoma expansionContrast extravasationIntracerebral hemorrhageSpot signExtravasation rateTomographic angiographyConsecutive intracerebral hemorrhage patientsML/minContrast extravasation rateAcute intracerebral hemorrhageIntracerebral hemorrhage patientsMultivariable logistic regressionRate of bleedingIntracerebral hemorrhage volumeSpot sign presenceHospital mortalityMultivariable analysisHemorrhage patientsPostcontrast CTHemorrhage volumeSemiautomated softwareMortalityLogistic regressionHemorrhage
2014
CT angiography spot sign in intracerebral hemorrhage predicts active bleeding during surgery
Brouwers HB, Raffeld MR, van Nieuwenhuizen KM, Falcone GJ, Ayres AM, McNamara KA, Schwab K, Romero JM, Velthuis BK, Viswanathan A, Greenberg SM, Ogilvy CS, van der Zwan A, Rinkel GJ, Goldstein JN, Klijn CJ, Rosand J. CT angiography spot sign in intracerebral hemorrhage predicts active bleeding during surgery. Neurology 2014, 83: 883-889. PMID: 25098540, PMCID: PMC4153853, DOI: 10.1212/wnl.0000000000000747.Peer-Reviewed Original ResearchConceptsPostoperative rebleedingIntracerebral hemorrhageSpontaneous intracerebral hemorrhageSpot signActive bleedingHematoma evacuationIntraoperative bleedingCase fatalityICH volumeCT angiography spot signBrainstem ICHOnly independent markerSurgical hematoma evacuationSpontaneous ICH patientsMultivariable logistic regressionConsecutive spontaneous ICH patientsFuture surgical trialsSpot sign presenceCTA spot signAntiplatelet usePostoperative bleedingResidual hematomaICH patientsFemale sexSurgical trialsRisk 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 ResearchMeSH KeywordsAnticoagulantsCerebral AngiographyCerebral HemorrhageFemaleHumansMaleRisk FactorsTomography, X-Ray ComputedWarfarinConceptsLobar 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
2013
Predictors of Hematoma Volume in Deep and Lobar Supratentorial Intracerebral Hemorrhage
Falcone GJ, Biffi A, Brouwers HB, Anderson CD, Battey TW, Ayres AM, Vashkevich A, Schwab K, Rost NS, Goldstein JN, Viswanathan A, Greenberg SM, Rosand J. Predictors of Hematoma Volume in Deep and Lobar Supratentorial Intracerebral Hemorrhage. JAMA Neurology 2013, 70: 988-994. PMID: 23733000, PMCID: PMC3808840, DOI: 10.1001/jamaneurol.2013.98.Peer-Reviewed Original ResearchConceptsLobar intracerebral hemorrhageIntensity of anticoagulationIntracerebral hemorrhageICH volumeHematoma volumeIndependent predictorsLobar supratentorial intracerebral haemorrhageProspective cohort studyCoronary artery diseaseSupratentorial intracerebral hemorrhageMedian ICH volumePrimary ICH patientsComputed tomography scanMultivariable linear regressionAcademic medical centerIntracerebral hemorrhage volumeLobar hemorrhageAntiplatelet treatmentRadiological outcomesArtery diseaseCohort studyDeep hemorrhagesICH locationICH patientsMale sex
2012
CTA Spot Sign Predicts Hematoma Expansion in Patients with Delayed Presentation After Intracerebral Hemorrhage
Brouwers HB, Falcone GJ, McNamara KA, Ayres AM, Oleinik A, Schwab K, Romero JM, Viswanathan A, Greenberg SM, Rosand J, Goldstein JN. CTA Spot Sign Predicts Hematoma Expansion in Patients with Delayed Presentation After Intracerebral Hemorrhage. Neurocritical Care 2012, 17: 421-428. PMID: 22878870, PMCID: PMC3707619, DOI: 10.1007/s12028-012-9765-2.Peer-Reviewed Original ResearchConceptsHematoma expansionSymptom onsetSpot signUnknown onset timeCTA spot signIntracerebral hemorrhageCT angiography spot signHematoma expansion ratesUnknown symptom onsetOnset timeAcute intracerebral hemorrhageMajority of patientsSymptom onset timeBackgroundHematoma expansionDelayed PresentationFollowup CTConsecutive patientsInitial CTClinical trialsNovel therapiesPatientsHemorrhageExperienced readersOnsetSigns