Abigail Demuyakor, MD, PhD
Associate Research ScientistCards
About
Research
Publications
2026
Artificial intelligence-based coronary computed tomography angiography quantification of atherosclerosis burden: comparison with intravascular ultrasound in the INVICTUS Registry
Nakanishi R, Okubo R, Matsuo H, Sobue Y, Kaneko U, Sato H, Fujimoto S, Nozaki Y, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Osawa K, Saji M, Iguchi N, Nakazawa G, Takahashi K, Ijichi T, Mikamo H, Kurata A, Moroi M, Iijima R, Bandeira D, Demuyakor A, Parise H, Malkasian S, Mintz G, Lansky A, Earls J, Chamié D. Artificial intelligence-based coronary computed tomography angiography quantification of atherosclerosis burden: comparison with intravascular ultrasound in the INVICTUS Registry. European Radiology 2026, 1-14. PMID: 41781729, DOI: 10.1007/s00330-026-12412-y.Peer-Reviewed Original ResearchCoronary CT angiographyLow-attenuation plaqueIntravascular ultrasoundExternal elastic membranePlaque volumeImage processing timeCalcium indexElastic membraneAtherosclerosis burdenNon-calcifiedCoronary segmentsProcessing timeExternal elastic membrane volumeCoronary Computed Tomography AngiographyPredictor of cardiovascular eventsModality findingsNon-diseased segmentsTherapeutic decision-makingRoutine clinical practiceDisease severity spectrumLumen area stenosisPlaque segmentationInter-observer variabilityCardiovascular risk assessmentMinimum lumen area500.01 Determining the Optimal Threshold for Coronary Calcium Quantification Using AI-Based Coronary CT Angiography Analysis. Comparison With OCT in the INVICTUS Registry
Chamié D, Demuyakor A, Matsuo H, Kaneko U, Sato H, Pandya R, Fujimoto S, Kajiya T, Miyoshi T, Abe M, Kitagawa T, Osawa K, Iguchi N, Nakazawa G, Ijichi T, Mikamo H, Kurata A, Iijima R, Young R, Wiest M, Mintz G, Lansky A, Nakanishi R. 500.01 Determining the Optimal Threshold for Coronary Calcium Quantification Using AI-Based Coronary CT Angiography Analysis. Comparison With OCT in the INVICTUS Registry. JACC Cardiovascular Interventions 2026, 19: s46. DOI: 10.1016/j.jcin.2026.01.158.Peer-Reviewed Original Research500.05 Automated External Elastic Lamina Segmentation in High-Frequency OCT Using Machine Learning: Validation Against an Independent OCT Core Lab
Pandya R, Demuyakor A, Bandeira D, Tamhane A, Ughi G, Lansky A, Chamié D. 500.05 Automated External Elastic Lamina Segmentation in High-Frequency OCT Using Machine Learning: Validation Against an Independent OCT Core Lab. JACC Cardiovascular Interventions 2026, 19: s47-s48. DOI: 10.1016/j.jcin.2026.01.164.Peer-Reviewed Original Research
2025
TCT-438 Comparison of Coronary Vessel Sizing by Artificial Intelligence-Based Coronary Computed Tomography Angiography Quantification and Intravascular Ultrasound: Insights from the INVICTUS Registry
Demuyakor A, Nakanishi R, Pandya R, Okubo R, Matsuo H, Sato H, Fujimoto S, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Osawa K, Saji M, Nakazawa G, Takahashi K, Ijichi T, Mikamo H, Kurata A, Moroi M, Bandeira D, Lansky A, Mintz G, Chamie D. TCT-438 Comparison of Coronary Vessel Sizing by Artificial Intelligence-Based Coronary Computed Tomography Angiography Quantification and Intravascular Ultrasound: Insights from the INVICTUS Registry. Journal Of The American College Of Cardiology 2025, 86: b192. DOI: 10.1016/j.jacc.2025.09.558.Peer-Reviewed Original ResearchCan AI Capture and Quantify Clinical Expertise? Implications for Intracoronary Imaging in Percutaneous Coronary Intervention
1Peer-Reviewed Original ResearchCan AI Capture and Quantify Clinical Expertise? Implications for Intracoronary Imaging in Percutaneous Coronary Intervention
Petraco R, Bahl R, Almeida G, Bandeira D, Seligman H, Alloula A, Demuyakor A, Lansky A, Johnson T, Francis D, Mintz G, Shun-Shin M, Chamié D. Can AI Capture and Quantify Clinical Expertise? Implications for Intracoronary Imaging in Percutaneous Coronary Intervention. Journal Of The Society For Cardiovascular Angiography & Interventions 2025, 4: 102523. PMID: 40230670, PMCID: PMC11993851, DOI: 10.1016/j.jscai.2024.102523.Peer-Reviewed Original Research
2024
Optimal Threshold For Characterizing Calcified Plaque On Ccta As Determined By Correlation With Oct
Chamie D, Okubo R, Sobue Y, Kaneko U, Sato H, Fujimoto S, Nozaki Y, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Osawa K, Saji M, Iguchi N, Nakazawa G, Takahashi K, Ijich T, Mikamo H, Kurata A, Moroi M, Iijima R, Lansky A, Demuyakor A, Matsuo H, Hoffmann U, Min J, Earls J, Nakanishi R. Optimal Threshold For Characterizing Calcified Plaque On Ccta As Determined By Correlation With Oct. Journal Of Cardiovascular Computed Tomography 2024, 18: s80. DOI: 10.1016/j.jcct.2024.05.189.Peer-Reviewed Original Research
2023
Pancoronary plaque characteristics and clinical outcomes in acute coronary syndrome patients with cancer history
Wang C, Tian X, Feng X, Demuyakor A, Hu S, Wang Y, Li L, Cui L, Dong F, Dai J, Lei F, Xu Y, Du Z, Shi M, Liu J, Xing L, E M. Pancoronary plaque characteristics and clinical outcomes in acute coronary syndrome patients with cancer history. Atherosclerosis 2023, 378: 117118. PMID: 37127496, DOI: 10.1016/j.atherosclerosis.2023.03.023.Peer-Reviewed Original ResearchConceptsAcute coronary syndrome patientsAcute coronary syndromeMaximum lipid arcOptical coherence tomographyThin-cap fibroatheromaCancer historyFibrous cap thicknessPercutaneous coronary interventionNonculprit lesionsLipid arcPrevalence of high-risk plaqueIncidence of thin-cap fibroatheromaCulprit lesionPrevalence of acute coronary syndromeHigh-risk plaque featuresHigher incidencePlaque characteristicsTime of percutaneous coronary interventionAssociated with high mortalityCharacteristics of coronary plaquesLipid indicesAbsence of cancer historyCoronary syndrome patientsNon-culprit lesionsIncidence of calcification
2022
Clinical Characteristics and Prognosis of MINOCA Caused by Atherosclerotic and Nonatherosclerotic Mechanisms Assessed by OCT
Zeng M, Zhao C, Bao X, Liu M, He L, Xu Y, Meng W, Qin Y, Weng Z, Yi B, Zhang D, Wang S, Luo X, Lv Y, Chen X, Sun Q, Feng X, Gao Z, Sun Y, Demuyakor A, Li J, Hu S, Guagliumi G, Mintz G, Jia H, Yu B. Clinical Characteristics and Prognosis of MINOCA Caused by Atherosclerotic and Nonatherosclerotic Mechanisms Assessed by OCT. JACC Cardiovascular Imaging 2022, 16: 521-532. PMID: 36648054, DOI: 10.1016/j.jcmg.2022.10.023.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsOptical coherence tomographyTarget lesion revascularizationCardiac deathLesion revascularizationPredictors of Major Adverse Cardiac EventsAssociated with worse outcomesSpontaneous coronary artery dissectionClinical diagnosis of MIPrognosis of MINOCAMechanisms of MINOCAAdverse cardiac eventsNonobstructive coronary arteriesPrognosis of patientsCoronary artery dissectionDiagnosis of MIOCT findingsAtherosclerotic causeCardiac eventsClinical characteristicsClinical outcomesArtery dissectionComposite endpointMINOCACoronary spasmImpact of nodular calcification in patients with acute coronary syndrome (ACS) treated with primary percutaneous coronary intervention (PCI)
Demuyakor A, Hu S, Koniaeva E, Liu M, Weng Z, Zhao C, Feng X, He L, Xu Y, Zeng M, Meng W, Sun Y, Yi B, Gao Z, Qin Y, Jia H, Mintz G, Yu B. Impact of nodular calcification in patients with acute coronary syndrome (ACS) treated with primary percutaneous coronary intervention (PCI). BMC Cardiovascular Disorders 2022, 22: 103. PMID: 35287572, PMCID: PMC8922875, DOI: 10.1186/s12872-022-02551-7.Peer-Reviewed Original ResearchConceptsAcute coronary syndromePercutaneous coronary interventionPrimary percutaneous coronary interventionCalcification groupOptical coherence tomographyNodular calcificationStent under-expansionCoronary interventionCoronary syndromeLower left ventricular ejection fractionPresence of nodular calcificationTreated with primary percutaneous coronary interventionUnder-expansionCulprit plaquesVentricular ejection fractionMinimum stent areaEjection fractionProtruding massCoherence tomographyWell-delineated borderPatientsStent areaCalcificationImpact outcomesSignal attenuation
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Yale School of Medicine
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New Haven, Connecticut 06510
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