2022
Deep Learning Applications for Acute Stroke Management
Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy‐Cramer J, Gonzalez J, Kimberly WT, Sheth KN. Deep Learning Applications for Acute Stroke Management. Annals Of Neurology 2022, 92: 574-587. PMID: 35689531, DOI: 10.1002/ana.26435.Peer-Reviewed Original ResearchMeSH KeywordsDeep LearningHumansNeural Networks, ComputerNeuroimagingReproducibility of ResultsStrokeConceptsDeep machine learningDeep learning applicationsMedical image analysisDeep neural networksPixel-wise labelingAcute stroke managementReal-world examplesDL applicationsDL approachMachine learningLearning applicationsDL modelsNeural networkStroke managementLesion segmentationMaximal utilityImage analysisElectronic medical record dataInter-rater variabilityCause of disabilityMedical record dataRelevant clinical featuresStroke detectionAdvanced neuroimaging techniquesDecision makingBedside 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
2019
Early Prognostication of 1-Year Outcome After Subarachnoid Hemorrhage: The FRESH Score Validation
Witsch J, Kuohn L, Hebert R, Cord B, Sansing L, Gilmore EJ, Hwang DY, Petersen N, Falcone GJ, Matouk C, Sheth KN. Early Prognostication of 1-Year Outcome After Subarachnoid Hemorrhage: The FRESH Score Validation. Journal Of Stroke And Cerebrovascular Diseases 2019, 28: 104280. PMID: 31326270, DOI: 10.1016/j.jstrokecerebrovasdis.2019.06.038.Peer-Reviewed Original ResearchConceptsSpontaneous subarachnoid hemorrhageModified Rankin ScaleLong-term outcomesSubarachnoid hemorrhageUnfavorable outcomePercent of patientsExclusion of patientsStratification of patientsScore variablesAneurysmal etiologyBleeding sourceRankin ScaleFunctional outcomeMean ageEarly prognosticationPrognostication scoresStudy investigatorsHospital resourcesPatientsDisability partAneurysm coilingOutcomesHigh gradeCharacteristic curveHemorrhage
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