2022
Bedside detection of intracranial midline shift using portable magnetic resonance imaging
Sheth KN, Yuen MM, Mazurek MH, Cahn BA, Prabhat AM, Salehi S, Shah JT, By S, Welch EB, Sofka M, Sacolick LI, Kim JA, Payabvash S, Falcone GJ, Gilmore EJ, Hwang DY, Matouk C, Gordon-Kundu B, RN AW, Petersen N, Schindler J, Gobeske KT, Sansing LH, Sze G, Rosen MS, Kimberly WT, Kundu P. Bedside detection of intracranial midline shift using portable magnetic resonance imaging. Scientific Reports 2022, 12: 67. PMID: 34996970, PMCID: PMC8742125, DOI: 10.1038/s41598-021-03892-7.Peer-Reviewed Original ResearchConceptsMidline shiftNeuroscience intensive care unitCare measurementYale-New Haven HospitalValuable bedside toolIntensive care unitPoor clinical outcomeBrain-injured patientsMass effectNew Haven HospitalMagnetic resonance imagingClinical outcomesIll patientsCare unitStroke patientsFunctional outcomeBedside toolObservational studyBedside detectionImaging examsPatientsResonance imagingPortable MRIImaging suiteSignificant concordance
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 ResearchAdmission 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