Attila Feher, MD, PhD
Assistant Professor of Medicine (Cardiovascular Medicine)Cards
About
Research
Publications
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 imagingThe Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0).
Miller R, Lemley M, Shanbhag A, Ramirez G, Liang J, Builoff V, Kavanagh P, Sharir T, Hauser M, Ruddy T, Fish M, Bateman T, Acampa W, Einstein A, Dorbala S, Di Carli M, Feher A, Miller E, Sinusas A, Halcox J, Martins M, Kaufmann P, Dey D, Berman D, Slomka P. The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0). Journal Of Nuclear Medicine 2024, 65: 1795-1801. PMID: 39362762, PMCID: PMC11533915, DOI: 10.2967/jnumed.124.268292.Peer-Reviewed Original ResearchCoronary artery calciumCT attenuation correction imagesStress total perfusion deficitMyocardial perfusion imagingTotal perfusion deficitAttenuation correction imagesPerfusion imagingREFINE SPECTImprove prediction of adverse outcomesPerfusion deficitsSPECT myocardial perfusion imagingIncreased risk of MACEPredictive of adverse outcomesMedian follow-upInvasive coronary angiographyRisk of MACEAdverse cardiovascular eventsCAC scoreExperience MACECoronary angiographyArtery calciumInternational registryCardiovascular eventsFollow-upClinical dataFrom Risk to Resilience: Improved Outcomes After Myocardial Infarction in Patients With Sjogren's Syndrome
Wright C, Feher A. From Risk to Resilience: Improved Outcomes After Myocardial Infarction in Patients With Sjogren's Syndrome. Journal Of Cardiovascular Pharmacology 2024, 84: 389-390. PMID: 39028864, DOI: 10.1097/fjc.0000000000001615.Peer-Reviewed Original ResearchContrast‐enhanced computed tomography for ex vivo assessment of human kidneys: A proof‐of‐concept study
Feizi A, DiRito J, Richfield O, Stendahl J, Harris M, Spindler S, Edwards C, Lysyy T, Lee S, Boutagy N, Feher A, Yoo P, Hosgood S, Mulligan D, Nicholson M, Sinusas A, Haakinson D, Tietjen G. Contrast‐enhanced computed tomography for ex vivo assessment of human kidneys: A proof‐of‐concept study. Artificial Organs 2024, 48: 1536-1548. PMID: 39189738, DOI: 10.1111/aor.14840.Peer-Reviewed Original ResearchContrast-enhanced computed tomographyNormothermic perfusionComputed tomographyHuman kidneyLocal informationAnalysis of biopsiesAssess organ functionNovel therapeutic strategiesEx vivo assessmentWhole organ perfusionProof-of-concept studyEx vivo perfusionInfusion scansAnatomical structuresOrgan perfusionPositron Emission Tomography in the Diagnosis and Management of Cardiac Allograft Vasculopathy
Csecs I, Yakkali S, Feher A. Positron Emission Tomography in the Diagnosis and Management of Cardiac Allograft Vasculopathy. Current Cardiovascular Imaging Reports 2024, 17: 85-92. DOI: 10.1007/s12410-024-09595-7.Peer-Reviewed Original ResearchManagement of CAVPositron emission tomography myocardial perfusion imagingCardiac allograft vasculopathyInvasive coronary angiographyMyocardial perfusion imagingMyocardial flow reservePositron emission tomographyHeart transplant recipientsMyocardial blood flowAllograft vasculopathyTransplant recipientsPET-derived MBFInternational Society for Heart and Lung Transplantation guidelinesCAV detectionAlternative to invasive coronary angiographyEfficacy of positron emission tomographyRoutine surveillance protocolEmission tomographyClass IIa indicationFrequent invasive proceduresReduce radiation exposurePositron emission tomography imagingPrognostic valueCoronary angiographyMulticenter studyThe Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT
Miller R, Lemley M, Shanbhag A, Bednarski B, Liang J, Builoff V, Kavanagh P, Sharir T, Hauser M, Ruddy T, Fish M, Einstein A, Dorbala S, Di Carli M, Feher A, Miller E, Sinusas A, Halcox J, Martins M, Kaufmann P, Dey D, Berman D, Slomka P. The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT. Journal Of Nuclear Cardiology 2024, 38: 101926. DOI: 10.1016/j.nuclcard.2024.101926.Peer-Reviewed Original ResearchMulti-modality imaging for assessment of the microcirculation in peripheral artery disease: Bench to clinical practice
Callegari S, Feher A, Smolderen K, Mena-Hurtado C, Sinusas A. Multi-modality imaging for assessment of the microcirculation in peripheral artery disease: Bench to clinical practice. American Heart Journal Plus Cardiology Research And Practice 2024, 42: 100400. PMID: 38779485, PMCID: PMC11108852, DOI: 10.1016/j.ahjo.2024.100400.Peer-Reviewed Original ResearchPeripheral arterial diseaseMicrovascular diseasePeripheral microcirculationArtery diseaseEvaluation of response to therapyResponse to therapyManagement of peripheral arterial diseaseImprove risk stratificationOutcomes of peripheral artery diseaseAssessment of perfusionPathophysiology of peripheral arterial diseaseRisk of mortalityMolecular imaging studiesMulti-modal imagesPredictors of amputationRisk stratificationPre-clinicalImaging studiesClinical perfusionProcedural treatmentsClinical practicePersonalized managementMicrocirculationDiseasePerfusionDeep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging
Shanbhag A, Miller R, Killekar A, Lemley M, Bednarski B, Van Kriekinge S, Kavanagh P, Feher A, Miller E, Bateman T, Liang J, Builoff V, Berman D, Dey D, Slomka P. Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging. Progress In Biomedical Optics And Imaging 2024, 12930: 129300b-129300b-6. DOI: 10.1117/12.3007914.Peer-Reviewed Original ResearchEpicardial adipose tissueUngated CTMyocardial infarctionEAT volumeRisk stratificationComputed tomographyEAT volume measurementEpicardial adipose tissue measurementsEpicardial adipose tissue volumeAssociated with risk of cardiovascular eventsRisk of cardiovascular eventsMedian follow-upIncreased risk of deathGated computed tomographyImprove risk stratificationAdipose tissue measurementsAssociated with riskRisk of deathAttenuation correction imagesGated CTChest CTNo significant differencePrognostic informationCardiovascular eventsFollow-upArtificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging
Feher A, Bednarski B, Miller R, Shanbhag A, Lemley M, Miras L, Sinusas A, Miller E, Slomka P. Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266761. PMID: 38548351, PMCID: PMC11064832, DOI: 10.2967/jnumed.123.266761.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingHF hospitalizationHeart failureStress left ventricular ejection fractionPerfusion imagingHF exacerbationPredictive of HF hospitalizationsSPECT/CT myocardial perfusion imagingMyocardial perfusionInternational cohortAcute heart failure exacerbationMedian follow-upVentricular ejection fractionReceiver-operating-characteristic curveClinical risk factorsHeart failure exacerbationExternal validation cohortAcute HF exacerbationPrevent HF hospitalizationsImaging parametersCalcium scoreEjection fractionClinical parametersCT scanValidation cohortAI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging
Miller R, Shanbhag A, Killekar A, Lemley M, Bednarski B, Kavanagh P, Feher A, Miller E, Bateman T, Builoff V, Liang J, Newby D, Dey D, Berman D, Slomka P. AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging. JACC Cardiovascular Imaging 2024, 17: 780-791. PMID: 38456877, PMCID: PMC11222053, DOI: 10.1016/j.jcmg.2024.01.006.Peer-Reviewed Original ResearchComputed tomography attenuation correctionMajor adverse cardiovascular eventsCoronary artery calciumLV massMyocardial perfusion imagingPerfusion imagingSingle-photon emission computed tomography/computed tomographyIncreased risk of MACEAssociated with major adverse cardiovascular eventsRisk of Major Adverse Cardiovascular EventsCardiac chamber volumesMedian follow-upCT-based volumesRight ventricular volumesImprove cardiovascular risk assessmentAdverse cardiovascular eventsQuartile of LV massContinuous net reclassification indexCoronary artery diseaseNet reclassification indexCardiovascular risk assessmentTomography/computed tomographyConsecutive patientsImprove risk predictionPrognostic utility
Academic Achievements & Community Involvement
Clinical Care
Overview
Attila Feher, MD, PhD, is a cardiologist who specializes in multimodality cardiovascular imaging, which involves analyzing pictures of the heart taken with the help of such technologies as CT scan, MRI, and nuclear imaging. He also has a special interest in preventing and managing heart disease in patients who have underlying autoimmune and rheumatologic disorders through Yale Medicine’s Cardio-Rheumatology Program.
Dr. Feher says a curiosity of human biology inspired him to study medicine, but it was during his training, when he began to interact with patients, that he knew he’d chosen the right path.
“Understanding patients’ inner feelings and helping them emotionally has always been as important to me as understanding the nature of their medical conditions,” Dr. Feher says. “I truly believe in and try to practice the instruction left by Sir William Osler, MD, one of the greatest internists of the 20th century, about keeping the patient in the center: ‘Care more particularly for the individual patient than for the special features of the disease.’”
Dr. Feher says caring for cardiology patients provides him with many opportunities to build long-lasting relationships, which are especially important in cardio-rheumatology, since autoimmune disease requires continuous monitoring. “I think meaningful interactions and paying attention to the details while keeping the patient's needs in the center are key to successfully prevent, treat, and potentially cure cardiovascular disease,” he says.
Dr. Feher’s research interests include studying the impact of autoimmune conditions on cardiovascular health, and the best ways to apply cardiovascular imaging techniques to the evaluation of coronary microvascular disease. “My clinic actively shapes my research,” he says. “I believe the bedside is the perfect place to find research topics that are relevant not only to scientists, but to patients as well.”
Clinical Specialties
Board Certifications
Cardiovascular Disease
- Certification Organization
- AB of Internal Medicine
- Original Certification Date
- 2021
Internal Medicine
- Certification Organization
- AB of Internal Medicine
- Original Certification Date
- 2016
News
News
- September 10, 2024
Microvasculature Imaging Shows Promise for Peripheral Artery Disease Management
- July 03, 2024
Gallegos and Feher Join the Journal of Nuclear Cardiology’s Early Career Editorial Board
- April 01, 2024
Yale Faculty Present Groundbreaking Clinical Research at the 2024 American College of Cardiology Scientific Sessions
- February 05, 2024
Yale Team Wins American Society of Nuclear Cardiology Award for Cardiology Decision Support Tool