2022
Epileptiform activity predicts epileptogenesis in cerebral hemorrhage
Kong THJ, Azeem M, Naeem A, Allen S, Kim JA, Struck AF. Epileptiform activity predicts epileptogenesis in cerebral hemorrhage. Annals Of Clinical And Translational Neurology 2022, 9: 1475-1480. PMID: 36030385, PMCID: PMC9463945, DOI: 10.1002/acn3.51637.Peer-Reviewed Original ResearchMeSH KeywordsCerebral HemorrhageElectroencephalographyEpilepsyHumansRetrospective StudiesSeizuresSubarachnoid HemorrhageConceptsEpileptiform activitySubarachnoid hemorrhageRisk factorsRetrospective case-control studyNontraumatic intraparenchymal hemorrhagesDevelopment of epilepsyCase-control studyS scoresClinical seizuresAcute phaseCerebral hemorrhageIntraparenchymal hemorrhageHemorrhageSeizuresEpilepsyScoresEpileptogenesisPatientsActivityIntraparenchymal
2021
The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Majidi S, Filippi CG, Mak A, Werring DJ, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone G, Sheth K, Payabvash S. The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume. International Journal Of Stroke 2021, 17: 777-784. PMID: 34569877, PMCID: PMC9005571, DOI: 10.1177/17474930211050749.Peer-Reviewed Original ResearchPortable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage
Mazurek MH, Cahn BA, Yuen MM, Prabhat AM, Chavva IR, Shah JT, Crawford AL, Welch EB, Rothberg J, Sacolick L, Poole M, Wira C, Matouk CC, Ward A, Timario N, Leasure A, Beekman R, Peng TJ, Witsch J, Antonios JP, Falcone GJ, Gobeske KT, Petersen N, Schindler J, Sansing L, Gilmore EJ, Hwang DY, Kim JA, Malhotra A, Sze G, Rosen MS, Kimberly WT, Sheth KN. Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage. Nature Communications 2021, 12: 5119. PMID: 34433813, PMCID: PMC8387402, DOI: 10.1038/s41467-021-25441-6.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBrainCerebral HemorrhageFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingConceptsMagnetic resonance imagingNIH Stroke ScaleIntracerebral hemorrhageHematoma volumeYale-New Haven HospitalStroke care pathwayConventional magnetic resonance imagingBoard-certified neuroradiologistsNew Haven HospitalResource-limited settingsStroke ScaleClinical outcomesLow-field magnetic resonance imagingCare pathwayLow-field magnetic resonanceRadiological examinationConventional neuroimagingAdvanced MRI technologiesResonance imagingCases of disagreementHemorrhageMRI technologyPortable MRINeuroimagingMagnetic resonanceAdmission 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