2020
Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications
Revzin MV, Raza S, Warshawsky R, D'Agostino C, Srivastava NC, Bader AS, Malhotra A, Patel RD, Chen K, Kyriakakos C, Pellerito JS. Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications. Radio Graphics 2020, 40: 1574-1599. PMID: 33001783, PMCID: PMC7534458, DOI: 10.1148/rg.2020200149.Peer-Reviewed Educational MaterialsMeSH KeywordsAngiographyAngiotensin-Converting Enzyme 2BetacoronavirusCoronavirus InfectionsCOVID-19Cytokine Release SyndromeDisease ProgressionFibrin Fibrinogen Degradation ProductsHumansInflammationLungPandemicsPeptidyl-Dipeptidase APneumonia, ViralPulmonary ArteryReceptors, VirusRespiratory Distress SyndromeSARS-CoV-2Symptom AssessmentThromboembolismThrombosisThrombotic MicroangiopathiesTomography, X-Ray ComputedUltrasonographyConceptsKey imaging featuresImaging featuresCOVID-19COVID-19-associated deathsPregnancy-related manifestationsCoronavirus disease 2019Effective patient managementWorld Health OrganizationVascular complicationsClinical presentationRelated complicationsImaging manifestationsMultisystemic involvementPathologic manifestationsPatient managementImage-based reviewDisease 2019Online supplemental materialImaging hallmarksCentral vascular systemOrgan systemsRespiratory systemInfectionMusculoskeletal systemHealth OrganizationThirty- and 90-Day Readmissions After Treatment of Traumatic Subdural Hematoma: National Trend Analysis
Koo AB, Elsamadicy AA, David WB, Zogg CK, Santarosa C, Sujijantarat N, Robert SM, Kundishora AJ, Cord BJ, Hebert R, Bahrassa F, Malhotra A, Matouk CC. Thirty- and 90-Day Readmissions After Treatment of Traumatic Subdural Hematoma: National Trend Analysis. World Neurosurgery 2020, 139: e212-e219. PMID: 32272271, PMCID: PMC7380544, DOI: 10.1016/j.wneu.2020.03.168.Peer-Reviewed Original ResearchConceptsTraumatic subdural hematomaSubdural hematomaRheumatoid arthritis/collagen vascular diseasesMultivariate logistic regression analysisCollagen vascular diseaseNationwide Readmissions DatabaseCongestive heart failureLikelihood of readmissionPrimary procedure codeTraumatic brain injuryLogistic regression analysisReadmission ratesRenal failureHeart failurePostoperative infectionNinth RevisionSurgical interventionPatient populationVascular diseaseCerebral meningesBrain injuryClinical ModificationPatient managementReadmissionInternational Classification
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