2019
Neuroimaging of Pediatric Arteriopathies
Goyal P, Malhotra A, Almast J, Sapire J, Gupta S, Mangla M, Mangla R. Neuroimaging of Pediatric Arteriopathies. Journal Of Neuroimaging 2019, 29: 287-308. PMID: 30920080, DOI: 10.1111/jon.12614.Peer-Reviewed Original ResearchConceptsIschemic strokeMajor prognostic implicationsPediatric ischemic strokeSecondary stroke preventionAcute ischemic strokeFocal neurologic deficitsAdult stroke populationSmall vessel arteriopathyNoninflammatory etiologiesRecurrent strokeStroke preventionSystemic complicationsCerebral arteriopathyNeurologic deficitsStroke etiologyAcute managementPrompt diagnosisStroke populationNeuropsychiatric symptomsClinical manifestationsClinical symptomsPrognostic implicationsPredominant vesselRisk factorsSchool-aged children
2018
Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks
Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Scientific Reports 2018, 8: 14036. PMID: 30232350, PMCID: PMC6145900, DOI: 10.1038/s41598-018-32441-y.Peer-Reviewed Original ResearchConceptsExtranodal extensionNodal metastasisPatient managementNeck cancer patient managementBlinded test setClinical decision-making toolCancer patient managementNeck cancer managementPostoperative pathologyPretreatment identificationCancer managementMetastasisRadiographic identificationCharacteristic curveCliniciansConvolutional neural networkHuman cliniciansNeural networkHeadDeep learning convolutional neural networkLymphDeep learning neural network
2015
Predictors of Vertebral Artery Injury in Isolated C2 Fractures Based on Fracture Morphology Using CT Angiography
Durand D, Wu X, Kalra VB, Abbed KM, Malhotra A. Predictors of Vertebral Artery Injury in Isolated C2 Fractures Based on Fracture Morphology Using CT Angiography. Spine 2015, 40: e713-e718. PMID: 25803220, DOI: 10.1097/brs.0000000000000893.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCervical VertebraeDatabases, FactualFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSpinal FracturesTomography, X-Ray ComputedTrauma CentersVascular System InjuriesVertebral ArteryYoung AdultConceptsVertebral artery injuryC2 fracturesComputed tomography angiographyTransverse foramenTomography angiographyArtery injuryLevel I trauma centerInstitutional board review approvalTransverse foramen fracturesType III densI trauma centerVertebral body fracturesRetrospective database analysisC2 transverse foramenFracture patternsFisher's exact testMultiplanar CT scansFracture classification schemeStudent's t-testAntithrombotic treatmentNeurological sequelaeFracture hospitalizationsOccipital fractureDens fracturesTrauma center
2014
Intracranial infantile hemangiopericytoma.
McHugh BJ, Baranoski JF, Malhotra A, Vortmeyer AO, Sze G, Duncan CC. Intracranial infantile hemangiopericytoma. Journal Of Neurosurgery Pediatrics 2014, 14: 149-54. PMID: 24905842, DOI: 10.3171/2014.4.peds13463.Peer-Reviewed Original Research