Simultaneous imaging of myocardial blood flow and glucose metabolism using dynamic 18F-FDG PET
Simultaneous imaging of myocardial blood flow and glucose metabolism using dynamic 18F-FDG PET
批准号:
9251317
负责人:
Guobao Wang
金额:
$19.56万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-04-01 至 2019-03-31
关键词:
AddressAffectAlgorithmsAmmoniaBloodBlood GlucoseBlood flowCardiacCessation of lifeClinicClinicalClinical TrialsCoronary heart diseaseCyclotronsDataDependenceDoseEchocardiographyEvaluationGenerationsGoalsGoldHeart failureHourImageInjection of therapeutic agentInvestmentsKineticsLow Dose RadiationMachine LearningMagnetic Resonance ImagingMeasuresMetabolismMethodsModalityModelingMorbidity - disease rateMyocardialMyocardial InfarctionMyocardial tissueMyocardiumNoiseOperative Surgical ProceduresOutcomePatientsPerformancePhysiciansPositron-Emission TomographyProtocols documentationRadiationRecruitment ActivityResearchResolutionResourcesRubidiumScanningSiteTestingTimeTime StudyTracerUnited StatesVisitclinical practicecostexperiencefluorodeoxyglucosefluorodeoxyglucose positron emission tomographyglucose metabolismglucose transportheart functionimage reconstructionimaging modalityimplantable deviceimprovedinnovationischemic cardiomyopathymortalitynovelperfusion imagingpublic health relevanceradiotracersingle photon emission computed tomographysuccessuptake
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Ischemic cardiomyopathy affects approximately 3 million people in the United States. This form of heart failure is the result of myocardial infarcton or severe coronary heart disease that reduces the viability and function of the heart. Ischemic cardiomyopathy is associated with poor long-term survival when patients with viable myocardium are not revascularized. By imaging myocardial blood flow and glucose metabolism and seeking flow-metabolism mismatches, positron emission tomography (PET) method has been established as the gold standard of assessing myocardial viability for selecting patients who can benefit most from surgical revascularization. Current PET method employs two separate static scans with two different radiotracers for generation of the flow-metabolism image pair. While the image of glucose metabolism is acquired using the most widely used radiotracer 18F- fluorodeoxyglucose (FDG), myocardial blood flow imaging with the radiotracer 13N-ammonia or rubidium-82 suffers from limited clinical availability. In addition, the imaging protoco of two separate imaging sessions is time consuming and resource intensive. As a result, myocardial viability via PET is currently under-utilized in clinic despite its high accuracy and th fast-growing installation of PET/CT scanners in the past decade. In this project, we propose to develop a novel PET method for myocardial viability assessment that only uses a single injection of FDG without the need of a flow- specific radiotracer. We hypothesize that myocardial blood flow can be derived from the quantitative kinetic parameters of dynamic FDG PET. We will develop a new multi-variable prediction model using statistical machine learning to predict myocardial blood flow from dynamic FDG PET data. We will also develop a shortened dynamic FDG PET protocol to improve practicality. This innovation will provide the flow-metabolism image pair for myocardial viability assessment in a clinically favorable time, cost and with reduced radiation dose. Success of this research will make PET assessment of myocardial viability more widely available in clinic with easier access, lower radiation dose, cheaper imaging cost and shorter clinical visit time as compared with conventional two-session protocols, thus improving our clinical practice of treating ischemic cardiomyopathy.
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批准号:10706613
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项目类别:
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资助金额:$62.03万
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负责人:Guobao Wang
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依托单位:
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项目类别:
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资助金额:$39.97万
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依托单位:
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项目类别:
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资助金额:$54.52万
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负责人:Guobao Wang
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依托单位:
海外基金