2016
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study
Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, Nef H, Tebaldi M, Murasato Y, Lansky A, Barbato E, van der Heijden LC, Reiber JH, Holm NR, Wijns W, Group F. Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study. JACC Cardiovascular Interventions 2016, 9: 2024-2035. PMID: 27712739, DOI: 10.1016/j.jcin.2016.07.013.Peer-Reviewed Original ResearchMeSH KeywordsAdenosineAdministration, IntravenousAgedArea Under CurveBlood Flow VelocityCardiac CatheterizationChinaComputer SimulationCoronary AngiographyCoronary StenosisCoronary VesselsEuropeFeasibility StudiesFemaleFractional Flow Reserve, MyocardialHumansHyperemiaJapanMaleMiddle AgedModels, CardiovascularMyocardial Perfusion ImagingPilot ProjectsPredictive Value of TestsPrognosisProspective StudiesRadiographic Image Interpretation, Computer-AssistedRegional Blood FlowReproducibility of ResultsROC CurveSeverity of Illness IndexTime FactorsUnited StatesVasodilator AgentsWorkflowConceptsQuantitative flow ratioHyperemic flow velocityReceiver-operating characteristic curveCoronary angiographyDiagnostic accuracyAngiographic percent diameter stenosisDiagnostic coronary angiographyProspective multicenter studyIndependent core laboratoryAdenosine-induced hyperemiaPercent diameter stenosisQuantitative coronary angiographyIntermediate coronary lesionsCharacteristic curveFractional flow reservePositive likelihood ratioOverall diagnostic accuracyNegative likelihood ratioDrug-induced hyperemiaLikelihood ratioCoronary lesionsMulticenter studyDiameter stenosisMaximal hyperemiaFlow reserve
2013
A Blood-Based Gene Expression Test for Obstructive Coronary Artery Disease Tested in Symptomatic Nondiabetic Patients Referred for Myocardial Perfusion Imaging The COMPASS Study
Thomas GS, Voros S, McPherson JA, Lansky AJ, Winn ME, Bateman TM, Elashoff MR, Lieu HD, Johnson AM, Daniels SE, Ladapo JA, Phelps CE, Douglas PS, Rosenberg S. A Blood-Based Gene Expression Test for Obstructive Coronary Artery Disease Tested in Symptomatic Nondiabetic Patients Referred for Myocardial Perfusion Imaging The COMPASS Study. Circulation Genomic And Precision Medicine 2013, 6: 154-162. PMID: 23418288, DOI: 10.1161/circgenetics.112.964015.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingInvasive coronary angiographyGene expression scoreCoronary angiographyNegative predictive valueNondiabetic patientsSymptomatic patientsClinical factorsPredictive valuePrespecified primary end pointObstructive coronary artery diseaseAbnormal myocardial perfusion imagingBlood-based gene expression testAdverse cardiovascular eventsPrimary end pointCoronary artery diseaseReceiver-operating characteristic curvePeripheral blood samplesReceiver-operating characteristic analysisCoronary artery disease diagnosisMaximum percent stenosisGene expression testReceiver-operating characteristicCardiovascular eventsArtery disease
2012
Usefulness of Noninvasive Fractional Flow Reserve Computed from Coronary Computed Tomographic Angiograms for Intermediate Stenoses Confirmed by Quantitative Coronary Angiography
Min JK, Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning AM, DeFrance T, Lansky A, Leipsic J. Usefulness of Noninvasive Fractional Flow Reserve Computed from Coronary Computed Tomographic Angiograms for Intermediate Stenoses Confirmed by Quantitative Coronary Angiography. The American Journal Of Cardiology 2012, 110: 971-976. PMID: 22749390, DOI: 10.1016/j.amjcard.2012.05.033.Peer-Reviewed Original ResearchConceptsLesion-specific ischemiaFractional flow reserveCoronary lesionsIntermediate stenosisFlow reservePredictive valueNoninvasive methodComputed Tomographic AngiogramsCoronary computed tomographyNoninvasive fractional flow reserveQuantitative coronary angiographyReceiver operator characteristic curveIntermediate stenosis severityNegative predictive valuePositive predictive valueOperator characteristic curveCoronary angiographyInvasive angiographyMean ageTomographic angiogramBland-Altman analysisStudy groupIschemiaComputed tomographyNovel noninvasive method
2011
Prognostic Value of the SYNTAX Score in Patients With Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention Analysis From the ACUITY (Acute Catheterization and Urgent Intervention Triage StrategY) Trial
Palmerini T, Genereux P, Caixeta A, Cristea E, Lansky A, Mehran R, Dangas G, Lazar D, Sanchez R, Fahy M, Xu K, Stone GW. Prognostic Value of the SYNTAX Score in Patients With Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention Analysis From the ACUITY (Acute Catheterization and Urgent Intervention Triage StrategY) Trial. Journal Of The American College Of Cardiology 2011, 57: 2389-2397. PMID: 21658558, DOI: 10.1016/j.jacc.2011.02.032.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAngioplasty, Balloon, CoronaryCardiac CatheterizationCoronary AngiographyCoronary Artery BypassElectrocardiographyEmergency TreatmentFemaleHeparin, Low-Molecular-WeightHirudinsHospital MortalityHumansItalyKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPeptide FragmentsPrognosisProportional Hazards ModelsProspective StudiesRecombinant ProteinsRisk AssessmentROC CurveSeverity of Illness IndexStatistics, NonparametricSurvival AnalysisTreatment OutcomeTriageConceptsSegment elevation acute coronary syndromesElevation acute coronary syndromePercutaneous coronary interventionAcute coronary syndromeSYNTAX scoreCoronary syndromeCardiac deathACUITY trialIndependent predictorsPredictive valueTarget vessel revascularization rateStable ischemic heart diseaseTriple-vessel coronary diseaseVessel revascularization rateCardiac mortality rateMyocardial infarction ratePre-specified subgroupsRisk-stratify patientsIschemic heart diseaseAngiographic substudySS tertilesInfarction rateRevascularization ratesCoronary interventionCoronary diseaseDevelopment of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients
Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S, Voros S, Kraus WE, Ginsburg GS, Schwartz RS, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky AJ, Topol EJ. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Medical Genomics 2011, 4: 26. PMID: 21443790, PMCID: PMC3072303, DOI: 10.1186/1755-8794-4-26.Peer-Reviewed Original ResearchConceptsObstructive coronary artery diseaseCoronary artery diseaseNon-diabetic patientsDiabetic statusArtery diseaseRT-PCR analysisNon-invasive blood testStudy of patientsPeripheral blood cellsClassifier genesCell type-specific markersPREDICT cohortGene expressionClinical factorsInvasive angiographyBlood testsControl cohortRegistry casesCohort analysisPREDICT studyResultsMicroarray analysisDiagnostic utilityPopulation predictorsRT-PCR dataCAD association
2010
Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients.
Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ. Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Annals Of Internal Medicine 2010, 153: 425-34. PMID: 20921541, PMCID: PMC3786733, DOI: 10.7326/0003-4819-153-7-201010050-00005.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overAlgorithmsArea Under CurveChest PainCoronary AngiographyCoronary Artery DiseaseDiabetes MellitusFemaleGene ExpressionHumansMaleMiddle AgedProspective StudiesReverse Transcriptase Polymerase Chain ReactionRisk AssessmentROC CurveSensitivity and SpecificitySex FactorsYoung AdultConceptsObstructive coronary artery diseaseCoronary artery diseaseCoronary angiographyNondiabetic patientsQuantitative coronary angiographyArtery diseasePresence of CADClinical modelMore major coronary arteriesPeripheral blood gene expressionBlood-based gene expression testDiamond-Forrester methodMulticenter prospective trialMajor coronary arteriesChronic inflammatory disordersIndependent validation cohortReceiver-operating characteristic analysisBlood gene expressionReal-time polymerase chain reactionWhole blood testCardiac protein markersGene expression testNoninvasive imaging methodProspective trialRisk patients
2004
Myocardial First-Pass Perfusion Magnetic Resonance Imaging
Wolff SD, Schwitter J, Coulden R, Friedrich MG, Bluemke DA, Biederman RW, Martin ET, Lansky AJ, Kashanian F, Foo TK, Licato PE, Comeau CR. Myocardial First-Pass Perfusion Magnetic Resonance Imaging. Circulation 2004, 110: 732-737. PMID: 15289374, DOI: 10.1161/01.cir.0000138106.84335.62.Peer-Reviewed Original ResearchMeSH KeywordsAdenosineAgedArea Under CurveCardiac CatheterizationContrast MediaCoronary AngiographyCoronary CirculationCoronary DiseaseDose-Response Relationship, DrugFalse Positive ReactionsFemaleGadolinium DTPAHumansHyperemiaMagnetic Resonance ImagingMaleMiddle AgedMyocardiumProspective StudiesROC CurveSensitivity and SpecificitySingle-Blind MethodConceptsObstructive coronary artery diseaseCoronary artery diseaseArtery diseaseFirst-pass perfusion magnetic resonance imagingReceiver-operating curve analysisHigher contrast dosesDose-ranging studyCoronary artery catheterizationLow-dose groupPerfusion magnetic resonance imagingQuantitative coronary angiographyFirst-pass perfusion imagingLeft ventricular myocardiumReceiver-operating curveMagnetic resonance imagingFirst-pass perfusion MRIGadopentetate dimeglumine injectionCoronary angiographyArtery catheterizationEfficacious doseClinical evaluationContrast doseMyocardial hyperemiaPerfusion defectsGadopentate dimeglumine
2002
Quantitative angiographic methods for appropriate end-point analysis, edge-effect evaluation, and prediction of recurrent restenosis after coronary brachytherapy with gamma irradiation
Lansky AJ, Dangas G, Mehran R, Desai KJ, Stone G, Leon M, Mintz G, Waksman R, Wu H, Fahy M. Quantitative angiographic methods for appropriate end-point analysis, edge-effect evaluation, and prediction of recurrent restenosis after coronary brachytherapy with gamma irradiation. Journal Of The American College Of Cardiology 2002, 39: 274-280. PMID: 11788219, DOI: 10.1016/s0735-1097(01)01745-4.Peer-Reviewed Original ResearchConceptsTarget vessel revascularizationRecurrent restenosisDiameter stenosisReceiver operator curveStent restenosisIn-Stent Restenosis TrialIntracoronary radiation therapyPercent diameter stenosisQuantitative coronary angiographyQuantitative angiographic methodsAngiographic locationBlinded therapyRestenosis TrialVessel revascularizationClinical restenosisCoronary angiographyRestenosis rateRestenotic lesionsTreatment failureWashington RadiationBrachytherapy trialsInterventional treatmentVascular brachytherapyEnd-point analysisRadiation therapy