Farbod N Rahaghi1, Gonzalo Vegas-Sanchez-Ferrero2, Jasleen K Minhas3, Carolyn E Come3, Isaac De La Bruere3, James M Wells4, Germán González5, Surya P Bhatt4, Brett E Fenster6, Alejandro A Diaz3, Puja Kohli7, James C Ross5, David A Lynch8, Mark T Dransfield4, Russel P Bowler9, Maria J Ledesma-Carbayo10, Raúl San José Estépar5, George R Washko3. 1. Pulmonary and Critical Care Division of Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, PBB-CA 3, Boston, MA 02115. Electronic address: frahaghi@partners.org. 2. Department of Radiology, Harvard School of Medicine, Boston, MA; Biomedical Image Technologies, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain. 3. Pulmonary and Critical Care Division of Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, PBB-CA 3, Boston, MA 02115. 4. Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Denver, Colorado. 5. Department of Radiology, Harvard School of Medicine, Boston, MA. 6. Division Cardiology, Department of Medicine, National Jewish Health, Denver, Colorado. 7. Pulmonary and Critical Care Division of Department of Medicine, Massachusetts General Hospital, Denver, Colorado. 8. Department of Radiology, National Jewish Health, Denver, Colorado. 9. Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado. 10. Biomedical Image Technologies, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
Abstract
RATIONALE AND OBJECTIVES: Imaging-based assessment of cardiovascular structure and function provides clinically relevant information in smokers. Non-cardiac-gated thoracic computed tomographic (CT) scanning is increasingly leveraged for clinical care and lung cancer screening. We sought to determine if more comprehensive measures of ventricular geometry could be obtained from CT using an atlas-based surface model of the heart. MATERIALS AND METHODS: Subcohorts of 24 subjects with cardiac magnetic resonance imaging (MRI) and 262 subjects with echocardiography were identified from COPDGene, a longitudinal observational study of smokers. A surface model of the heart was manually initialized, and then automatically optimized to fit the epicardium for each CT. Estimates of right and left ventricular (RV and LV) volume and free-wall curvature were then calculated and compared to structural and functional metrics obtained from MRI and echocardiograms. RESULTS: CT measures of RV dimension and curvature correlated with similar measures obtained using MRI. RV and LV volume obtained from CT inversely correlated with echocardiogram-based estimates of RV systolic pressure using tricuspid regurgitation jet velocity and LV ejection fraction respectively. Patients with evidence of RV or LV dysfunction on echocardiogram had larger RV and LV dimensions on CT. Logistic regression models based on demographics and ventricular measures from CT had an area under the curve of >0.7 for the prediction of elevated right ventricular systolic pressure and ventricular failure. CONCLUSIONS: These data suggest that non-cardiac-gated, non-contrast-enhanced thoracic CT scanning may provide insight into cardiac structure and function in smokers.
RATIONALE AND OBJECTIVES: Imaging-based assessment of cardiovascular structure and function provides clinically relevant information in smokers. Non-cardiac-gated thoracic computed tomographic (CT) scanning is increasingly leveraged for clinical care and lung cancer screening. We sought to determine if more comprehensive measures of ventricular geometry could be obtained from CT using an atlas-based surface model of the heart. MATERIALS AND METHODS: Subcohorts of 24 subjects with cardiac magnetic resonance imaging (MRI) and 262 subjects with echocardiography were identified from COPDGene, a longitudinal observational study of smokers. A surface model of the heart was manually initialized, and then automatically optimized to fit the epicardium for each CT. Estimates of right and left ventricular (RV and LV) volume and free-wall curvature were then calculated and compared to structural and functional metrics obtained from MRI and echocardiograms. RESULTS:CT measures of RV dimension and curvature correlated with similar measures obtained using MRI. RV and LV volume obtained from CT inversely correlated with echocardiogram-based estimates of RV systolic pressure using tricuspid regurgitation jet velocity and LV ejection fraction respectively. Patients with evidence of RV or LV dysfunction on echocardiogram had larger RV and LV dimensions on CT. Logistic regression models based on demographics and ventricular measures from CT had an area under the curve of >0.7 for the prediction of elevated right ventricular systolic pressure and ventricular failure. CONCLUSIONS: These data suggest that non-cardiac-gated, non-contrast-enhanced thoracic CT scanning may provide insight into cardiac structure and function in smokers.
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