2024
Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure
Baloescu C, Chen A, Varasteh A, Hall J, Toporek G, Patil S, McNamara R, Raju B, Moore C. Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure. The Ultrasound Journal 2024, 16: 42. PMID: 39283362, PMCID: PMC11405569, DOI: 10.1186/s13089-024-00391-4.Peer-Reviewed Original ResearchB-line scoreComposite congestion scoreCongestion scoreHeart failureSeverity scoreB-linesCongestive heart failurePatients suspectedPulmonary congestionLung zonesClinical progressionRothman IndexClinical assessmentDisease severityPatientsPresence of artifactsEvaluate changesLungDetect fluidUltrasound experienceMixed effects modelsScoresDiseaseInterstitial spaceUltrasound system
2023
Development and interobserver reliability of a rating scale for lung ultrasound pathology in lower respiratory tract infection
Baloescu C, Chen A, Schnittke N, Hicks B, Zhu M, Kaili M, Shupp J, Chan D, Malia L, Coneybeare D, Gregory K, Kessler D, Raju B, Moore C. Development and interobserver reliability of a rating scale for lung ultrasound pathology in lower respiratory tract infection. WFUMB Ultrasound Open 2023, 1: 100006. DOI: 10.1016/j.wfumbo.2023.100006.Peer-Reviewed Original ResearchLower respiratory tract infectionsRespiratory tract infectionsIntraclass correlation coefficientTract infectionsUltrasound pathologiesRating ScaleSonographic findingsInter-rater reliabilityExpert consensusPleural line abnormalitiesGood inter-rater reliabilityAverage intraclass correlation coefficientSeverity Rating ScalePleural effusionLung aerationSeverity ScaleFourth subsetInterobserver reliabilityCine clipsInfectionUltrasound expertsScanning protocolPathologyB-linesCOVID-19Two‐ Versus 8‐Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm
Baloescu C, Chen A, Varasteh A, Toporek G, McNamara R, Raju B, Moore C. Two‐ Versus 8‐Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm. Journal Of Ultrasound In Medicine 2023, 42: 2349-2356. PMID: 37255051, DOI: 10.1002/jum.16262.Peer-Reviewed Original ResearchConceptsHeart failureLung ultrasoundBland-Altman plot analysisSubgroup analysisUltrasound protocolMore lung zonesProspective observational studyReal-world clinical useB-linesAdult patientsLung zonesObservational studyClinical useScanning protocolVideo loopsPatientsPlot analysisRate severityUltrasoundAverage severitySeverityScoresTwo- VersusFailureSeverity information
2021
Interobserver Agreement and Correlation of an Automated Algorithm for B‐Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device
Moore CL, Wang J, Battisti AJ, Chen A, Fincke J, Wang A, Wagner M, Raju B, Baloescu C. Interobserver Agreement and Correlation of an Automated Algorithm for B‐Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device. Journal Of Ultrasound In Medicine 2021, 41: 2487-2495. PMID: 34964489, DOI: 10.1002/jum.15935.Peer-Reviewed Original ResearchConceptsIntraclass correlation coefficientHandheld ultrasound deviceB-linesAdult emergency department patientsPathologic lung conditionsEmergency department patientsUltrasound deviceDepartment patientsLung conditionsClinical studiesInterobserver agreementWeighted KappaUltrasound expertsPatientsCountMultiple settingsKappaUnique subjectsDyspneaParamedic-performed Prehospital Point-of-care Ultrasound for Patients with Undifferentiated Dyspnea: A Pilot Study
Schoeneck JH, Coughlin RF, Baloescu C, Cone DC, Liu RB, Kalam S, Medoro AK, Medoro I, Joseph D, Burns K, Bohrer-Clancy JI, Moore CL. Paramedic-performed Prehospital Point-of-care Ultrasound for Patients with Undifferentiated Dyspnea: A Pilot Study. Western Journal Of Emergency Medicine 2021, 22: 750-755. PMID: 34125056, PMCID: PMC8203026, DOI: 10.5811/westjem.2020.12.49254.Peer-Reviewed Original Research