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James C. Carr

Researcher at Northwestern University

Publications -  362
Citations -  8772

James C. Carr is an academic researcher from Northwestern University. The author has contributed to research in topics: Magnetic resonance imaging & Bicuspid aortic valve. The author has an hindex of 40, co-authored 340 publications receiving 7105 citations. Previous affiliations of James C. Carr include University of Miami.

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Steady-state MRA techniques with a blood pool contrast agent improve visualization of pulmonary venous anatomy and left atrial patency compared with time-resolved MRA pre- and postcatheter ablation in atrial fibrillation

TL;DR: To compare steady‐state magnetic resonance angiography (SS‐MRA), using a blood pool contrast agent, with the established technique of time‐resolved MRA (TR‐M RA), in pulmonary vein mapping and left atrial patency.
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Relation of Late Gadolinium Enhancement and Extracellular Volume Fraction to Ventricular Arrhythmias in Hypertrophic Cardiomyopathy

TL;DR: While ECV appears to have a threshold above which it is associated with NSVT, LGE demonstrates a more robust relationship with NS VT and measures of diastolic dysfunction, according to the study population mean.
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Pulmonary artery stiffness in chronic obstructive pulmonary disease (copd) - the mesa copd study

TL;DR: This study determines the pulmonary artery area change (distensibility or pulsatility in %) by cardiac magnetic resonance imaging (MRI) and related PA distensibility to the severity of COPD and evaluates indices of PA stiffness in patients with COPD.
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Natural History of Myocardial Late Gadolinium Enhancement Predicts Adverse Clinical Events in Heart Transplant Recipients

TL;DR: Cardiovascular magnetic resonance imaging with late gadolinium enhancement (LGE) has recently been examined in patients after orthotopic heart transplantation (OHT); however, the data is limited to relatively small cohorts.
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Cine MRI detects elevated left heart pressure in pulmonary hypertension.

TL;DR: In this paper, the authors used the Pearson correlation coefficient (r) and multivariable linear and logistic regression models to assess the ability of MRI-derived parameters to predict pulmonary capillary wedge pressure and postcapillary pulmonary hypertension.