Arterial and fat tissue inflammation are highly correlated : a prospective 18F-FDG PET/CT study |
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Authors: | Jan Bucerius Venkatesh Mani Stephanie Wong Colin Moncrieff David Izquierdo-Garcia Josef Machac Valentin Fuster Michael E. Farkouh James H. F. Rudd Zahi A. Fayad |
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Affiliation: | 1. Translational and Molecular Imaging Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, P. O. Box 1234, New York, NY, 10029, USA 2. Department of Radiology, Mount Sinai School of Medicine, New York, NY, USA 3. Department of Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands 4. Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands 5. Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany 6. Department of Cardiology, Zena and Michael A. Weiner Cardiovascular Institute and Marie-Josée and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, New York, NY, USA 7. Division of Nuclear Medicine, Department of Radiology, Mount Sinai School of Medicine, New York, NY, USA 8. The Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain 9. Cardiovascular Imaging Clinical Trials Unit, Mount Sinai School of Medicine, New York, NY, USA 10. Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
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Abstract: | Purpose There is evidence that the link between obesity and cardiovascular disease might relate to inflammation in both fat tissue and the arterial wall. 18F-FDG uptake on PET is a surrogate marker of vessel wall inflammation. The aim of the study was to measure FDG uptake in both regions using PET and identify links between adipose and arterial inflammation. Methods Included in the study were 173 cardiovascular patients who were prospectively imaged with FDG PET/CT. Arterial FDG uptake was measured in the carotid arteries and ascending aorta. The same was done in fat tissue in the neck, the presternal region (both subcutaneous) and the pericardium. FDG uptake was quantified as average maximal target-to-background ratio (meanTBRmax). Multivariate regression analyses were performed to identify significant associations between arterial and adipose tissue FDG uptake and clinical variables as given by the standardized correlation coefficient (β). Results FDG uptake values in all fat tissue regions were highly predictive of vascular FDG uptake in both the carotids (β 0.262, p?0.0001, in the neck subcutaneous region) and aorta (β 0.22, p?=?0.008, in the chest pericardial region; β 0.193, p?=?0.019, in the chest subcutaneous region). Obesity was significantly associated with elevated FDG uptake in adipose tissue (β 0.470, p?0.0001, in the neck subcutaneous region; β 0.619, p?=?0.028, in the chest subcutaneous region; β 0.978, p?=?0.035, in the chest pericardial region). Conclusion FDG uptake in diverse fat tissue regions was significantly associated with arterial FDG uptake, a reasonable surrogate of inflammation. Increasing body weight significantly predicted the level of fatty inflammation. FDG PET therefore provides imaging evidence of an inflammatory link between fat tissue and the vasculature in patients with cardiovascular disease. |
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