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Dr Nieman is a cardiologist and professor in the departments of medicine/cardiovascular and radiology. He investigates advanced cardiac imaging techniques, and current projects include the development and technical validation of functional CT applications for ischemic heart disease, the validation of cardiac CT in clinical effectiveness trials, and multimodality imaging of cardiomyopathies. He is currently the president of the Society of Cardiovascular Computed Tomography. Dr Nieman was born in the Netherlands, obtained his medical degree at the Radboud University in Nijmegen (1998), and completed his cardiology training at the Erasmus University Medical Center in Rotterdam (2008). His research in cardiac CT at the Erasmus University resulted in a PhD degree in 2003. In 2004 he performed an imaging fellowship at the Massachusetts General Hospital (Harvard Medical School) in Boston, MA. Dr Nieman joined the staff of the department of cardiology and radiology at the Erasmus University Medical Center in 2008, where he was scientific director of the cardiac CT and MRI group and supervised the intensive cardiac care unit until he joined the staff at Stanford University.
International, multicenter trial to validate the diagnostic value of dynamic CT myocardial perfusion imaging to identify hemodynamically relevant coronary artery disease, using measured fractional flow reserve as reference.
International registry on the use and management impact of CT-derived Fractional Flow Reserve, including 5000 patients at 50 sites in Europe, Asia and North America
300 Pasteur Drive, Stanford, California
Current research interests: Functional cardiac CT applications for the hemodynamic interpretation of coronary artery disease: - CT myocardial perfusion imaging (SPECIFIC trial).- CTA derived fractional flow reserve (ADVANCE registry, MACHINE registry, PRECISE trial).Clinical validation of cardiac CT in cardiovascular medicine: - Coronary CT angiography for the triage of patients with acute chest pain (BEACON randomized controlled trial).- Tiered cardiac CT protocols algorithms for comprehensive assessment of patients with stable anginal complaints (CRESCENT and CRESCENT2 randomized controlled trials)Comprehensive evaluation of patients with symptoms after coronary revascularization. Multimodality imaging of cardiomyopathies. Noninvasive characterization of atherosclerotic plaque.Cardiac CT in structural heart disease.Contrast media (CT-CON and IsoCOR randomized controlled trials).
International Consortium for Multimodality Phenotyping in Adults With Non-compaction
Non-compaction cardiomyopathy (NCCM) is a heterogeneous, poorly understood disorder
characterized by a prominent inner layer of loose myocardial tissue, and associated with
heart failure, stroke, severe rhythm irregularities and death. For a growing population
diagnosed with NCCM there is a need for better risk stratification to appropriately allocate
(or safely withhold) these impactful preventive measures. The goal of this international
consortium is to improve care of patients with non-compaction cardiomyopathy. We hypothesize
that comprehensive analysis of clinical, genetic, structural and functional information will
improve risk stratification. In addition, we hypothesize that detailed structural analysis
will allow for differentiation of pathological and benign patterns of non-compaction. In a
large cohort of adult patients with suspected NCCM we will perform in-depth phenotyping,
including clinical information, pedigree data, genetics, echocardiography and MRI, and follow
patients for up to 3 years. We will apply machine-learning based analytics to develop
predictive models and compare their performance to currently used models and treatment
criteria. Secondly, in a subset of patients we will perform high-resolution cardiac CT for
detailed structural characterization of the myocardial wall. We will investigate associations
between myocardial structure and regional contractile function, as assessed by echo and MRI.
The aim of this proposal is to identify a structural signature associated with pathological
non-compaction and improve developed risk prediction models. Discovery of pathological
structural signatures through innovative imaging techniques, in relation to myocardial
contractility, will advance our understanding of NCCM.
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Comprehensive Computed Tomography Guidance of Coronary Bypass Graft Surgery
Apply CT angiography, CT perfusion imaging and advanced image processing techniques to
improve revascularization decision-making and surgical strategies in patients undergoing
coronary artery bypass graft surgery.