2025
Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Shankar S, Coppi A, Foppa M, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD. Journal Of The American College Of Cardiology 2025, 85: 1302-1313. PMID: 40139886, DOI: 10.1016/j.jacc.2025.01.030.Peer-Reviewed Original ResearchConceptsStructural heart diseaseYale-New Haven HospitalTransthoracic echocardiogramRisk stratificationHeart failureLeft-sided valvular diseaseSevere left ventricular hypertrophyLeft ventricular ejection fractionReceiver-operating characteristic curveVentricular ejection fractionLeft ventricular hypertrophyHeart disease screeningELSA-BrasilEnsemble deep learning algorithmRisk of deathConvolutional neural network modelEjection fractionEnsemble deep learning approachVentricular hypertrophyDeep learning algorithmsNew Haven HospitalDeep learning approachValvular diseaseNeural network modelClinical cohortThe role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment
Tatsuoka Y, He Z, Lin H, Notarianni A, Carr Z. The role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment. Brazilian Journal Of Anesthesiology 2025, 75: 844597. PMID: 39971234, PMCID: PMC11914786, DOI: 10.1016/j.bjane.2025.844597.Peer-Reviewed Original ResearchConceptsRight ventricular systolic pressurePostoperative pulmonary complicationsArea under the curveARISCAT scoreVentricular systolic pressureReceiver operating characteristic curvePulmonary hypertensionRespiratory failureHigh-risk populationPrimary endpointRisk stratificationSurgical proceduresSystolic pressurePostoperative pulmonary complications incidenceSource of increased morbidityAssess Respiratory RiskDiagnosis of PHPreoperative risk assessmentAdjusted multivariable logistic regression modelsMultivariate logistic regression modelComposite of pneumoniaPulmonary complicationsPreoperative investigationsSecondary endpointsPulmonary aspirationArtificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
Oikonomou E, Vaid A, Holste G, Coppi A, McNamara R, Baloescu C, Krumholz H, Wang Z, Apakama D, Nadkarni G, Khera R. Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study. The Lancet Digital Health 2025, 7: e113-e123. PMID: 39890242, DOI: 10.1016/s2589-7500(24)00249-8.Peer-Reviewed Original ResearchConceptsYale New Haven Health SystemPoint-of-care ultrasonographyMount Sinai Health SystemTransthyretin amyloid cardiomyopathyArtificial intelligenceHealth systemAmyloid cardiomyopathyHypertrophic cardiomyopathyRetrospective cohort of individualsCardiomyopathy casesTesting artificial intelligenceConvolutional neural networkSinai Health SystemCohort of individualsOpportunistic screeningHypertrophic cardiomyopathy casesMulti-labelPositive screenAI frameworkEmergency departmentMortality riskNeural networkLoss functionCardiac ultrasonographyAugmentation approachInheritance of Imaging Parameters of Arrhythmic Risk in Mitral Valve Prolapse: A Pedigree Study
Cristin L, Dixit S, Bibby D, Tang J, Fang Q, Tastet L, Rich A, Jhawar R, Nagata Y, Higuchi S, Levine R, Hsia H, Tseng Z, Schiller N, Delling F. Inheritance of Imaging Parameters of Arrhythmic Risk in Mitral Valve Prolapse: A Pedigree Study. Circulation Cardiovascular Imaging 2025, 18: e017051. PMID: 39764632, PMCID: PMC11753933, DOI: 10.1161/circimaging.124.017051.Peer-Reviewed Original ResearchConceptsMitral valve prolapseMitral annular disjunctionSudden cardiac arrestPostsystolic shortening indexAnnular disjunctionNormal mitral valveSudden cardiac deathValve prolapseMitral valveLongitudinal strainShortening indexArrhythmic mitral valve prolapseGlobal longitudinal strainExperience sudden cardiac arrestSpeckle-tracking echocardiographyFamilial mitral valve prolapsePeak longitudinal strainGlobal strain parametersBileaflet involvementGenetic myopathiesArrhythmic riskVentricular ectopyCardiac deathCardiac arrestHealthy controls
2024
Adverse cardiovascular events and cardiac imaging findings in patients on immune checkpoint inhibitors
Kwan J, Shen M, Akhlaghi N, Hu J, Mora R, Cross J, Jiang M, Mankbadi M, Wang P, Zaman S, Lee S, Im Y, Feher A, Liu Y, S. S, Tao W, Wei W, Baldassarre L. Adverse cardiovascular events and cardiac imaging findings in patients on immune checkpoint inhibitors. PLOS ONE 2024, 19: e0314555. PMID: 39621799, PMCID: PMC11611253, DOI: 10.1371/journal.pone.0314555.Peer-Reviewed Original ResearchConceptsAdverse cardiovascular eventsICI therapyCardiac magnetic resonanceIncreased risk of mortalityICI initiationIncreased riskRisk of mortalityCentral nervous systemVentricular dysfunctionCancer patients treated with ICIsCardiovascular eventsLeft ventricular late gadolinium enhancementMortality benefitCardiovascular riskAbnormal left ventricular ejection fractionPatients treated with ICIsLeft ventricular ejection fractionCentral nervous system malignanciesRisk of adverse cardiovascular eventsImmune checkpoint inhibitorsRight ventricular dysfunctionGlobal longitudinal strainVentricular ejection fractionLeft ventricular dysfunctionMultimodality cardiac imagingDiastolic dysfunction evaluation by cardiovascular magnetic resonance derived E, a, e’: Comparison to echocardiography
Lamy J, Xiang J, Shah N, Kwan J, Kim Y, Upadhyaya K, Reinhardt S, Meadows J, McNamara R, Baldassarre L, Peters D. Diastolic dysfunction evaluation by cardiovascular magnetic resonance derived E, a, e’: Comparison to echocardiography. Physiological Reports 2024, 12: e70078. PMID: 39604208, PMCID: PMC11602526, DOI: 10.14814/phy2.70078.Peer-Reviewed Original ResearchConceptsCardiovascular magnetic resonanceTransthoracic echocardiographyDiastolic dysfunctionDiastolic functionDiagnostic accuracy of cardiovascular magnetic resonanceEvaluate diastolic dysfunctionCardiovascular magnetic resonance imagingLeft atrial volumeMitral annular velocityHealthy age-matched subjectsComparison to echocardiographyMitral inflow velocityEvaluate diastolic functionAge-matched subjectsPresence of DDAtrial volumeDD gradeFirst-lineAnnular velocityDiagnostic accuracyImaging modalitiesMagnetic resonanceEchocardiographyALLTransthoracicTakotsubo cardiomyopathy and cardiogenic shock due to hypokalaemic rhabdomyolysis
Hwang E, Namburar S, Siegel M, Sanchez A. Takotsubo cardiomyopathy and cardiogenic shock due to hypokalaemic rhabdomyolysis. BMJ Case Reports 2024, 17: e261456. PMID: 39419603, DOI: 10.1136/bcr-2024-261456.Peer-Reviewed Original ResearchMeSH KeywordsEchocardiographyElectrocardiographyFemaleHumansHypokalemiaMiddle AgedRhabdomyolysisShock, CardiogenicTakotsubo CardiomyopathyConceptsTakotsubo cardiomyopathyCardiogenic shockAssociated with Takotsubo cardiomyopathyConsistent with cardiogenic shockConsistent with takotsubo cardiomyopathyTriggers of takotsubo cardiomyopathyCentral venous oxygen saturationInfluence cardiac morbidityChronic idiopathic constipationLow central venous oxygen saturationST-segment elevationVenous oxygen saturationWorsening cardiomyopathyGlobal hypokinesisPrognostic significanceCardiac morbidityIdiopathic constipationSpiked helmet signSegment elevationECG patternOxygen saturationCardiomyopathyRhabdomyolysisEchocardiographyEating disordersCardiomyopathy‐Associated Chronic Heart Failure in Infants Aged <1 Year: A Prospective Observational Cohort Over 5 Years in Northern China
Ding W, Wang B, Hong J, Lu L, Xiao Y, Shan G, Myers C, Yu Q, Spurney C, Li Z, Han L. Cardiomyopathy‐Associated Chronic Heart Failure in Infants Aged <1 Year: A Prospective Observational Cohort Over 5 Years in Northern China. Journal Of The American Heart Association 2024, 13: e029121. PMID: 39344650, PMCID: PMC11681489, DOI: 10.1161/jaha.122.029121.Peer-Reviewed Original ResearchConceptsBundle-branch blockHeart failureVentricular noncompactionReduced left ventricular ejection fractionInfants aged <1 yearPatients up to 5Infants aged <1Pediatric heart centersOutcomes of infantsPresence of left bundle-branch blockVentricular ejection fractionLeft ventricular noncompactionEjection fraction groupChronic heart failureProspective observational studyYear of diagnosisChinese pediatric populationSecondary to cardiomyopathyProspective observational cohortIncreased heart sizeFavorable predictorsBaseline LVEFEjection fractionNo significant differenceMedical therapyResidual Ultrasound-Enhancing Agents Mimicking Portal Venous Gas
Bitar R, Langdon J, Kaur M, Crandall I, McNamara R, Revzin M. Residual Ultrasound-Enhancing Agents Mimicking Portal Venous Gas. Ultrasound Quarterly 2024, 40: e00694. PMID: 39466239, DOI: 10.1097/ruq.0000000000000694.Peer-Reviewed Original ResearchConceptsUltrasound enhancing agentsPortal venous gasBowel ischemiaAbdominal ultrasoundVenous gasEchogenic fociContrast-enhanced echocardiographyEvaluation of cardiac functionPortal venous systemSeries of casesSonographic detectionCardiac functionDifferential diagnosisPortal veinVenous systemObservational studyLiver parenchymaPortal triadsVascular patencyBowelIschemiaEchocardiographyLiverUltrasoundMitral Annular Calcification and Valve Dysfunction: Insights and Future Directions
Dal-Bianco J, Levine R, Hung J. Mitral Annular Calcification and Valve Dysfunction: Insights and Future Directions. Journal Of The American Society Of Echocardiography 2024, 37: 756-758. PMID: 38871339, DOI: 10.1016/j.echo.2024.06.002.Peer-Reviewed Original ResearchRadiologic-Pathologic Correlation of Cardiac Tumors: Updated 2021 WHO Tumor Classification.
Lorca M, Chen I, Jew G, Furlani A, Puri S, Haramati L, Chaturvedi A, Velez M, Chaturvedi A. Radiologic-Pathologic Correlation of Cardiac Tumors: Updated 2021 WHO Tumor Classification. RadioGraphics 2024, 44: e230126. PMID: 38722782, DOI: 10.1148/rg.230126.Peer-Reviewed Educational MaterialsMeSH KeywordsEchocardiographyHeart NeoplasmsHumansMagnetic Resonance ImagingMultimodal ImagingTomography, X-Ray ComputedWorld Health OrganizationConceptsCardiac tumorsClassification of tumorsCardiac massWorld Health OrganizationCharacterization of cardiac massesWorld Health Organization Classification of TumorsWorld Health Organization tumor classificationWorld Health Organization classificationMalignant cardiac massesPrimary cardiac tumorsPrimary cardiac neoplasmsCardiac metastasisPapillary fibroelastomaThoracoabdominal CTCardiac CTCardiac neoplasmsIntracardiac massesNoncardiac indicationsSurgical managementRadiological investigationsTumor biologyTumor typesCardiac MRIAnatomical variantsTreatment planningPredictors of Disease Progression and Adverse Clinical Outcomes in Patients With Moderate Aortic Stenosis Using an Artificial Intelligence-Based Software Platform
Salem M, Gada H, Ramlawi B, Sotelo M, Nona P, Wagner L, Rogers C, Brigman L, Vora A. Predictors of Disease Progression and Adverse Clinical Outcomes in Patients With Moderate Aortic Stenosis Using an Artificial Intelligence-Based Software Platform. The American Journal Of Cardiology 2024, 223: 92-99. PMID: 38710350, DOI: 10.1016/j.amjcard.2024.04.051.Peer-Reviewed Original ResearchConceptsAdverse clinical outcomesRisk of adverse clinical outcomesModerate aortic stenosisClinical outcomesAortic stenosisDisease progressionSevere ASModerate ASAtrial fibrillationAmerican Heart Association/American College of Cardiology guidelinesLower left ventricular ejection fractionAssociated with adverse clinical outcomesPredictor of clinical outcomePredictors of disease progressionAmerican Heart Association/American CollegeFactors associated with outcomesVentricular ejection fractionEnd-stage renal diseaseHeart failure hospitalizationCox proportional hazards modelsProportional hazards modelSerial echoesAS severityEjection fractionCardiology guidelinesTransthoracic Echocardiography–Guided Placement of a Pulmonary Artery Catheter in a Patient With a Known Persistent Left but Unknown Absent Right Superior Vena Cava
Leclerc J, Clemes R, Fuss C, Macon C, Schulman P. Transthoracic Echocardiography–Guided Placement of a Pulmonary Artery Catheter in a Patient With a Known Persistent Left but Unknown Absent Right Superior Vena Cava. Circulation Cardiovascular Imaging 2024, 17: e016301. PMID: 38469718, DOI: 10.1161/circimaging.123.016301.Peer-Reviewed Original ResearchLiving in disadvantaged neighborhoods linked to less intervention for severe aortic stenosis
Ram C, Yousef S, Ma W, Vallabhajosyula I, Singh S, Agarwal R, Milewski R, Assi R, Patel P, Williams M, Geirsson A, Vallabhajosyula P. Living in disadvantaged neighborhoods linked to less intervention for severe aortic stenosis. Scientific Reports 2024, 14: 4952. PMID: 38418864, PMCID: PMC10902341, DOI: 10.1038/s41598-024-52660-w.Peer-Reviewed Original ResearchConceptsAortic valve replacementSevere aortic stenosisAfrican American raceArea Deprivation IndexAortic stenosisSevere ASArea deprivation index rankAortic valve replacement ratesAmerican raceAortic valve interventionPresentation of sepsisDiagnosis of ASADI groupValve replacementValve interventionDeprived neighbourhoodsAV interventionDisadvantaged neighborhoodsPatientsFemale genderDeprivation indexHigh-ADI groupLow-ADI groupStenosisRaceAssessment of valve regurgitation severity via contrastive learning and multi-view video integration
Kim S, Ren H, Charton J, Hu J, Gonzalez C, Khambhati J, Cheng J, DeFrancesco J, Waheed A, Marciniak S, Moura F, Cardoso R, Lima B, McKinney S, Picard M, Li X, Li Q. Assessment of valve regurgitation severity via contrastive learning and multi-view video integration. Physics In Medicine And Biology 2024, 69: 045020. PMID: 38271727, DOI: 10.1088/1361-6560/ad22a4.Peer-Reviewed Original ResearchConceptsRepresentation learningContrastive learningMulti-view video processingState-of-the-art methodsContrastive learning frameworkState-of-the-artIn-house datasetVideo processingContrastive networkEmbedding spaceImage inputLearning frameworkVideo integrationIntricate taskLoss termMulti-modal clinical dataLearningRepresentationLabor-intensiveAccuracyEfficient methodVideo seriesEmbeddingDatasetNetworkEmergency Physician-performed Echocardiogram in Non-ST Elevation Acute Coronary Syndrome Patients Requiring Coronary Intervention
Tan T, Wright D, Baloescu C, Lee S, Moore C. Emergency Physician-performed Echocardiogram in Non-ST Elevation Acute Coronary Syndrome Patients Requiring Coronary Intervention. Western Journal Of Emergency Medicine 2024, 0: 9-16. PMID: 38205979, PMCID: PMC10777186, DOI: 10.5811/westjem.60508.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAdultCohort StudiesEchocardiographyElectrocardiographyHumansPhysiciansConceptsPresence of RWMARegional wall motion abnormalitiesCoronary interventionEmergency departmentEmergency physiciansElevation acute coronary syndrome patientsNew regional wall motion abnormalitiesNon-ST elevation acute coronary syndrome patientsAcute coronary syndrome patientsRetrospective observational cohort studyEarly coronary interventionDiagnostic coronary angiographyCoronary artery bypassCoronary syndrome patientsObservational cohort studyActivation criteriaIdentification of patientsWall motion abnormalitiesCare transthoracic echocardiographyMeeting inclusion criteriaED electrocardiogramArtery bypassSame admissionAdult patientsCohort studyGuidelines for the Evaluation of Prosthetic Valve Function With Cardiovascular Imaging: A Report From the American Society of Echocardiography Developed in Collaboration With the Society for Cardiovascular Magnetic Resonance and the Society of Cardiovascular Computed Tomography
Zoghbi W, Jone P, Chamsi-Pasha M, Chen T, Collins K, Desai M, Grayburn P, Groves D, Hahn R, Little S, Kruse E, Sanborn D, Shah S, Sugeng L, Swaminathan M, Thaden J, Thavendiranathan P, Tsang W, Weir-McCall J, Gill E. Guidelines for the Evaluation of Prosthetic Valve Function With Cardiovascular Imaging: A Report From the American Society of Echocardiography Developed in Collaboration With the Society for Cardiovascular Magnetic Resonance and the Society of Cardiovascular Computed Tomography. Journal Of The American Society Of Echocardiography 2024, 37: 2-63. PMID: 38182282, DOI: 10.1016/j.echo.2023.10.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultEchocardiographyHeartHeart Valve DiseasesHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProstheses and ImplantsConceptsProsthetic valve functionEvaluation of prosthetic valve functionCardiac magnetic resonanceValve repairComputed tomographyValve functionTransesophageal echocardiographyValve replacementAmerican Society of Echocardiography guidelinesThree-dimensional transesophageal echocardiographyAmerican Society of EchocardiographySociety of Cardiovascular Computed TomographyCardiac computed tomographyPercutaneous valve repairCardiovascular magnetic resonanceCardiovascular computed tomographyValvular heart diseaseCardiac valvular diseaseFirst-line methodAmerican SocietyEchocardiography guidelinesTricuspid regurgitationTransthoracic approachEchocardiographic techniquesValvular disease
2023
Incidence of Severe Adverse Drug Reactions to Ultrasound Enhancement Agents in a Contemporary Echocardiography Practice
Ali M, Johnson M, Irwin T, Henry S, Sugeng L, Kansal S, Allison T, Bremer M, Jones V, Martineau M, Wong C, Marecki G, Stebbins J, Michelena H, McCully R, Svatikova A, Padang R, Scott C, Kanuga M, Arsanjani R, Pellikka P, Kane G, Thaden J. Incidence of Severe Adverse Drug Reactions to Ultrasound Enhancement Agents in a Contemporary Echocardiography Practice. Journal Of The American Society Of Echocardiography 2023, 37: 276-284.e3. PMID: 37879379, DOI: 10.1016/j.echo.2023.10.010.Peer-Reviewed Original ResearchConceptsUltrasound enhancing agentsAdverse drug reactionsSevere adverse drug reactionsDrug reactionsEchocardiography databaseHealth systemFrequency of severe adverse drug reactionsIsolated back painUS health systemST-segment elevationIncidence of severe adverse drug reactionsLoss of pulseCardiopulmonary involvementLoss of consciousnessMRNA vaccinesLumasonMatched controlsRare riskEnhancing agentsADR rateProspective reportsCOVID-19 vaccineAdministrationPainHeadacheSevere aortic stenosis detection by deep learning applied to echocardiography
Holste G, Oikonomou E, Mortazavi B, Coppi A, Faridi K, Miller E, Forrest J, McNamara R, Ohno-Machado L, Yuan N, Gupta A, Ouyang D, Krumholz H, Wang Z, Khera R. Severe aortic stenosis detection by deep learning applied to echocardiography. European Heart Journal 2023, 44: 4592-4604. PMID: 37611002, PMCID: PMC11004929, DOI: 10.1093/eurheartj/ehad456.Peer-Reviewed Original ResearchConceptsSevere aortic stenosisBaseline and Longitudinal Imaging of Hypertrophic Cardiomyopathy in the Era of Emerging Therapeutics
Altibi A, Alani A, Zhao Y, Masri A. Baseline and Longitudinal Imaging of Hypertrophic Cardiomyopathy in the Era of Emerging Therapeutics. Current Cardiology Reports 2023, 25: 583-595. PMID: 37103749, DOI: 10.1007/s11886-023-01883-w.Peer-Reviewed Original ResearchMeSH KeywordsCardiac MyosinsCardiomyopathy, HypertrophicEchocardiographyHeartHumansMagnetic Resonance ImagingConceptsCardiac myosin inhibitorCardiac magnetic resonance imagingHypertrophic cardiomyopathyCare of patientsClinical trialsPathophysiology of hypertrophic cardiomyopathyCardiac magnetic resonanceNew drug therapiesHypertrophic cardiomyopathy diagnosisActin-myosin cross-bridgesLongitudinal imagingMagnetic resonance imagingMyosin inhibitorTherapeutic optionsAbstract PurposeDrug therapyOral moleculesLongitudinal imaging modalityCardiomyopathyPatientsMonitoring patientsImaging modalitiesResonance imagingInvestigate new drug therapiesSarcomere level
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