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1. Qualitative and quantitative analysis of 18F-GP1 positron emission tomography in thrombotic cardiovascular disease

Author

Whittington, Beth, Tzolos, Evangelos, Joshi, Shruti, Bing, Rong, Andrews, Jack, Loganath, Krithika, Craig, Neil, Balmforth, Craig, Clark, Laura, Lucatelli, Christophe, MacAskill, Mark G, Tavares, Adriana A. S., Clark, Tim, Mills, Nicholas L., Nash, Jennifer, Dey, Damini, Slomka, Piotr J., Koglin, Norman, Stephens, Andrew W., Dweck, Marc R., Williams, Michelle C., Whiteley, William, van Beek, Edwin J. R., Wardlaw, Joanna M., and Newby, David E.

Published
2024
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3. Special Report on the Consensus QIBA Profile for Objective Analytical Validation of Non-calcified and High-risk Plaque and Other Biomarkers using Computed Tomography Angiography

Author

Buckler, Andrew J., Abbara, Suhny, Budoff, Matthew J., Carr, John Jeffrey, De Cecco, Carlo N., DeMarco, J. Kevin, Ferencik, Maros, Figtree, Gemma A., Ikuta, Ichiro, Kolossváry, Márton, Konrad, Mathis, Lal, Brajesh K., Marques, Hugo, Moss, Alastair J., Obuchowski, Nancy A., van Beek, Edwin J.R., Virmani, Renu, Williams, Michelle C., Saba, Luca, and Joseph Schoepf, U.

Published
2024
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4. Rationale and Design of SCOT-HEART 2 Trial: CT Angiography for the Prevention of Myocardial Infarction

Author

McDermott, Michael, Meah, Mohammed N., Khaing, Phyo, Wang, Kang-Ling, Ramsay, Jennifer, Scott, Gillian, Rickman, Hannah, Burt, Tom, McGowan, Ian, Fairbairn, Timothy, Bucukoglu, Marise, Bull, Russell, Timmis, Adam, van Beek, Edwin J.R., Roditi, Giles, Adamson, Philip D., Lewis, Steff, Norrie, John, McKinstry, Brian, Guthrie, Bruce, Ritchie, Lewis, Mills, Nicholas L., Dweck, Marc R., Williams, Michelle C., and Newby, David E.

Published
2024
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5. Bypass Grafting and Native Coronary Artery Disease Activity

Author

Kwiecinski, Jacek, Tzolos, Evangelos, Fletcher, Alexander J, Nash, Jennifer, Meah, Mohammed N, Cadet, Sebastien, Adamson, Philip D, Grodecki, Kajetan, Joshi, Nikhil, Williams, Michelle C, van Beek, Edwin JR, Lai, Chi, Tavares, Adriana AS, MacAskill, Mark G, Dey, Damini, Baker, Andrew H, Leipsic, Jonathon, Berman, Daniel S, Sellers, Stephanie L, Newby, David E, Dweck, Marc R, and Slomka, Piotr J

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease - Coronary Heart Disease, Atherosclerosis, Cardiovascular, Heart Disease, Clinical Research, Aged, Calcinosis, Calcium, Coronary Angiography, Coronary Artery Disease, Disease Progression, Female, Humans, Male, Middle Aged, Plaque, Atherosclerotic, Predictive Value of Tests, Sodium Fluoride, F-18-NaF, CABG, coronary artery bypass graft, coronary artery disease, PET/CT, (18)F-NaF, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

ObjectivesThe aim of this study was to describe the potential of 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) to identify graft vasculopathy and to investigate the influence of coronary artery bypass graft (CABG) surgery on native coronary artery disease activity and progression.BackgroundAs well as developing graft vasculopathy, CABGs have been proposed to accelerate native coronary atherosclerosis.MethodsPatients with established coronary artery disease underwent baseline 18F-NaF PET, coronary artery calcium scoring, coronary computed tomographic angiography, and 1-year repeat coronary artery calcium scoring. Whole-vessel coronary microcalcification activity (CMA) on 18F-NaF PET and change in calcium scores were quantified in patients with and without CABG surgery.ResultsAmong 293 participants (mean age 65 ± 9 years, 84% men), 48 (16%) underwent CABG surgery 2.7 years [IQR: 1.4-10.4 years] previously. Although all arterial and the majority (120 of 128 [94%]) of vein grafts showed no 18F-NaF uptake, 8 saphenous vein grafts in 7 subjects had detectable CMA. Bypassed native coronary arteries had 3 times higher CMA values (2.1 [IQR: 0.4-7.5] vs 0.6 [IQR: 0-2.7]; P < 0.001) and greater progression of 1-year calcium scores (118 Agatston unit [IQR: 48-194 Agatston unit] vs 69 [IQR: 21-142 Agatston unit]; P = 0.01) compared with patients who had not undergone CABG, an effect confined largely to native coronary plaques proximal to the graft anastomosis. In sensitivity analysis, bypassed native coronary arteries had higher CMA (2.0 [IQR: 0.4-7.5] vs 0.8 [IQR: 0.3-3.2]; P < 0.001) and faster disease progression (24% [IQR: 16%-43%] vs 8% [IQR: 0%-24%]; P = 0.002) than matched patients (n = 48) with comparable burdens of coronary artery disease and cardiovascular comorbidities in the absence of bypass grafting.ConclusionsNative coronary arteries that have been bypassed demonstrate increased disease activity and more rapid disease progression than nonbypassed arteries, an observation that appears independent of baseline atherosclerotic plaque burden. Microcalcification activity is not a dominant feature of graft vasculopathy.

Published
2022

6. The serotonin transporter sustains human brown adipose tissue thermogenesis

Author

Suchacki, Karla J., Ramage, Lynne E., Kwok, T’ng Choong, Kelman, Alexandra, McNeill, Ben T., Rodney, Stewart, Keegan, Matthew, Gray, Calum, MacNaught, Gillian, Patel, Dilip, Fletcher, Alison M., Simpson, Joanna P., Carter, Roderick N., Semple, Robert K., Homer, Natalie Z. M., Morton, Nicholas M., van Beek, Edwin J. R., Wakelin, Sonia J., and Stimson, Roland H.

Published
2023
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7. Alpha-1 Antitrypsin MZ Heterozygosity Is an Endotype of Chronic Obstructive Pulmonary Disease.

Author

Ghosh, Auyon J, Hobbs, Brian D, Moll, Matthew, Saferali, Aabida, Boueiz, Adel, Yun, Jeong H, Sciurba, Frank, Barwick, Lucas, Limper, Andrew H, Flaherty, Kevin, Criner, Gerard, Brown, Kevin K, Wise, Robert, Martinez, Fernando J, Lomas, David, Castaldi, Peter J, Carey, Vincent J, DeMeo, Dawn L, Cho, Michael H, Silverman, Edwin K, Hersh, Craig P, Crapo, James D, Make, Barry J, Regan, Elizabeth A, Beaty, Terri H, El-Boueiz, Adel, Foreman, Marilyn G, Hayden, Lystra P, Hetmanski, Jacqueline, Hokanson, John E, Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Prokopenko, Dmitry, Morrow, Jarrett, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Pernicano, Perry G, and Hanania, Nicola

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Chronic Obstructive Pulmonary Disease, Lung, Emphysema, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Respiratory, Adult, Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Markers, Genotype, Heterozygote, Humans, Longitudinal Studies, Male, Middle Aged, Phenotype, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Survival Analysis, Whole Genome Sequencing, alpha 1-Antitrypsin, COPDGene Investigators, RNA sequencing, alpha-1 antitrypsin, chronic obstructive pulmonary disease, meta-analysis, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Rationale: Multiple studies have demonstrated an increased risk of chronic obstructive pulmonary disease (COPD) in heterozygous carriers of the AAT (alpha-1 antitrypsin) Z allele. However, it is not known if MZ subjects with COPD are phenotypically different from noncarriers (MM genotype) with COPD. Objectives: To assess if MZ subjects with COPD have different clinical features compared with MM subjects with COPD. Methods: Genotypes of SERPINA1 were ascertained by using whole-genome sequencing data in three independent studies. We compared outcomes between MM subjects with COPD and MZ subjects with COPD in each study and combined the results in a meta-analysis. We performed longitudinal and survival analyses to compare outcomes in MM and MZ subjects with COPD over time. Measurements and Main Results: We included 290 MZ subjects with COPD and 6,184 MM subjects with COPD across the three studies. MZ subjects had a lower FEV1% predicted and greater quantitative emphysema on chest computed tomography scans compared with MM subjects. In a meta-analysis, the FEV1 was 3.9% lower (95% confidence interval [CI], -6.55% to -1.26%) and emphysema (the percentage of lung attenuation areas

Published
2022

8. Observer repeatability and interscan reproducibility of 18F-sodium fluoride coronary microcalcification activity

Author

Tzolos, Evangelos, Kwiecinski, Jacek, Lassen, Martin Lyngby, Cadet, Sebastien, Adamson, Philip D, Moss, Alastair J, Joshi, Nikhil, Williams, Michelle C, van Beek, Edwin JR, Dey, Damini, Berman, Daniel S, Dweck, Marc R, Newby, David E, and Slomka, Piotr J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease, Biomedical Imaging, Atherosclerosis, Cardiovascular, Clinical Research, Heart Disease - Coronary Heart Disease, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Calcinosis, Fluorine Radioisotopes, Humans, Observer Variation, Positron Emission Tomography Computed Tomography, Reproducibility of Results, Sodium, Sodium Fluoride, Motion correction, PET, CT, cardiac PET, F-18-NaF, vulnerable plaque, coronary microcalcification activity, 18F-NaF, PET/CT, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundWe aimed to establish the observer repeatability and interscan reproducibility of coronary 18F-sodium-fluoride positron emission tomography (PET) uptake using a novel semi-automated approach, coronary microcalcification activity (CMA).MethodsPatients with multivessel coronary artery disease underwent repeated hybrid PET and computed tomography angiography (CTA) imaging (PET/CTA). CMA was defined as the integrated standardized uptake values (SUV) in the entire coronary tree exceeding 2 standard deviations above the background SUV. Coefficients of repeatability between the same observer (intraobserver repeatability), between 2 observers (interobserver repeatability) and coefficient of reproducibility between 2 scans (interscan reproducibility), were determined at vessel and patient level.ResultsIn 19 patients, CMA was assessed twice in 43 coronary vessels on two PET/CT scans performed 12 ± 5 days apart. There was excellent intraclass correlation for intraobserver and interobserver repeatability as well as interscan reproducibility (all ≥ 0.991). There was 100% intraobserver, interobserver and interscan agreement for the presence (CMA > 0) or absence (CMA = 0) of coronary18F-NaF uptake. Mean CMA was 3.12 ± 0.62 with coefficients of repeatability of ≤ 10% for all measures: intraobserver 0.24 and 0.22, interobserver 0.30 and 0.29 and interscan 0.33 and 0.32 at a per-vessel and per-patient level, respectively.ConclusionsCMA is a repeatable and reproducible global measure of coronary atherosclerotic activity.

Published
2022

9. Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction

Author

Kwiecinski, Jacek, Tzolos, Evangelos, Meah, Mohammed N, Cadet, Sebastien, Adamson, Philip D, Grodecki, Kajetan, Joshi, Nikhil V, Moss, Alastair J, Williams, Michelle C, van Beek, Edwin JR, Berman, Daniel S, Newby, David E, Dey, Damini, Dweck, Marc R, and Slomka, Piotr J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease, Heart Disease - Coronary Heart Disease, Biomedical Imaging, Atherosclerosis, Cardiovascular, Clinical Research, 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Positron Emission Tomography Computed Tomography, myocardial infarction, CT, F-18-NaF PET, quantitative plaque analysis, machine-learning, 18F-NaF PET, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Coronary 18F-sodium fluoride (18F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an optimal machine-learning model for the future risk of myocardial infarction in patients with stable coronary disease. Methods: Patients with known coronary artery disease underwent coronary 18F-NaF PET and CT angiography on a hybrid PET/CT scanner. Machine-learning by extreme gradient boosting was trained using clinical data, CT quantitative plaque analysis, measures and 18F-NaF PET, and it was tested using repeated 10-fold hold-out testing. Results: Among 293 study participants (65 ± 9 y; 84% male), 22 subjects experienced a myocardial infarction over the 53 (40-59) months of follow-up. On univariable receiver-operator-curve analysis, only 18F-NaF coronary uptake emerged as a predictor of myocardial infarction (c-statistic 0.76, 95% CI 0.68-0.83). When incorporated into machine-learning models, clinical characteristics showed limited predictive performance (c-statistic 0.64, 95% CI 0.53-0.76) and were outperformed by a quantitative plaque analysis-based machine-learning model (c-statistic 0.72, 95% CI 0.60-0.84). After inclusion of all available data (clinical, quantitative plaque and 18F-NaF PET), we achieved a substantial improvement (P = 0.008 versus 18F-NaF PET alone) in the model performance (c-statistic 0.85, 95% CI 0.79-0.91). Conclusion: Both 18F-NaF uptake and quantitative plaque analysis measures are additive and strong predictors of outcome in patients with established coronary artery disease. Optimal risk stratification can be achieved by combining clinical data with these approaches in a machine-learning model.

Published
2022

11. Emphysema Progression and Lung Function Decline Among Angiotensin Converting Enzyme Inhibitors and Angiotensin-Receptor Blockade Users in the COPDGene Cohort

Author

Tejwani, Vickram, Fawzy, Ashraf, Putcha, Nirupama, Castaldi, Peter J, Cho, Michael H, Pratte, Katherine A, Bhatt, Surya P, Lynch, David A, Humphries, Stephen M, Kinney, Gregory L, D’Alessio, Franco R, Hansel, Nadia N, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Regan, Elizabeth, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Pernicano, Perry G, Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, and Guy, Elizabeth

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Clinical Research, Emphysema, Lung, Tobacco, Chronic Obstructive Pulmonary Disease, Tobacco Smoke and Health, Cancer, Respiratory, Aged, Angiotensin Receptor Antagonists, Angiotensin-Converting Enzyme Inhibitors, Cohort Studies, Disease Progression, Female, Forced Expiratory Volume, Humans, Lung Volume Measurements, Male, Middle Aged, Prospective Studies, Protective Factors, Pulmonary Disease, Chronic Obstructive, Pulmonary Emphysema, Spirometry, Tomography, X-Ray Computed, Vital Capacity, Walk Test, angiotensin II, COPD, emphysema progression, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundAttenuation of transforming growth factor β by blocking angiotensin II has been shown to reduce emphysema in a murine model. General population studies have demonstrated that the use of angiotensin converting enzyme inhibitors (ACEis) and angiotensin-receptor blockers (ARBs) is associated with reduction of emphysema progression in former smokers and that the use of ACEis is associated with reduction of FEV1 progression in current smokers.Research questionIs use of ACEi and ARB associated with less progression of emphysema and FEV1 decline among individuals with COPD or baseline emphysema?MethodsFormer and current smokers from the Genetic Epidemiology of COPD Study who attended baseline and 5-year follow-up visits, did not change smoking status, and underwent chest CT imaging were included. Adjusted linear mixed models were used to evaluate progression of adjusted lung density (ALD), percent emphysema (%total lung volume

Published
2021

12. The Association Between Lung Hyperinflation and Coronary Artery Disease in Smokers

Author

Chandra, Divay, Gupta, Aman, Kinney, Gregory L, Fuhrman, Carl R, Leader, Joseph K, Diaz, Alejandro A, Bon, Jessica, Barr, R Graham, Washko, George, Budoff, Matthew, Hokanson, John, Sciurba, Frank C, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R, Castaldi, Peter J, Cho, Michael, DeMeo, Dawn L, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Al Qaisi, Mustafa, Coxson, Harvey O, Gray, Teresa, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Newell, John D, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Wilson, Carla G, Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A, Bhatt, Surya, Martinez, Carlos, Murray, Susan, Soler, Xavier, Banaei-Kashani, Farnoush, Bowler, Russell P, Kechris, Katerina, Curtis, Jeffrey L, Pernicano, Perry G, Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, and Parulekar, Amit

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Lung, Biomedical Imaging, Emphysema, Chronic Obstructive Pulmonary Disease, Tobacco, Atherosclerosis, Tobacco Smoke and Health, Prevention, Clinical Research, Cardiovascular, Heart Disease - Coronary Heart Disease, Heart Disease, Respiratory, Good Health and Well Being, Airway Obstruction, Airway Remodeling, Asymptomatic Diseases, Biological Variation, Population, Coronary Artery Disease, Coronary Vessels, Female, Humans, Male, Middle Aged, Organ Size, Plethysmography, Pulmonary Emphysema, Respiratory Function Tests, Risk Factors, Smoking, Tomography, X-Ray Computed, United States, COPD, coronary artery disease, lung hyperinflation, smoking, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundSmokers manifest varied phenotypes of pulmonary impairment.Research questionWhich pulmonary phenotypes are associated with coronary artery disease (CAD) in smokers?Study design and methodsWe analyzed data from the University of Pittsburgh COPD Specialized Center for Clinically Oriented Research (SCCOR) cohort (n = 481) and the Genetic Epidemiology of COPD (COPDGene) cohort (n = 2,580). Participants were current and former smokers with > 10 pack-years of tobacco exposure. Data from the two cohorts were analyzed separately because of methodologic differences. Lung hyperinflation was assessed by plethysmography in the SCCOR cohort and by inspiratory and expiratory CT scan lung volumes in the COPDGene cohort. Subclinical CAD was assessed as the coronary artery calcium score, whereas clinical CAD was defined as a self-reported history of CAD or myocardial infarction (MI). Analyses were performed in all smokers and then repeated in those with airflow obstruction (FEV1 to FVC ratio, < 0.70).ResultsPulmonary phenotypes, including airflow limitation, emphysema, lung hyperinflation, diffusion capacity, and radiographic measures of airway remodeling, showed weak to moderate correlations (r < 0.7) with each other. In multivariate models adjusted for pulmonary phenotypes and CAD risk factors, lung hyperinflation was the only phenotype associated with calcium score, history of clinical CAD, or history of MI (per 0.2 higher expiratory and inspiratory CT scan lung volume; coronary calcium: OR, 1.2; 95% CI, 1.1-1.5; P = .02; clinical CAD: OR, 1.6; 95% CI, 1.1-2.3; P = .01; and MI in COPDGene: OR, 1.7; 95% CI, 1.0-2.8; P = .05). FEV1 and emphysema were associated with increased risk of CAD (P < .05) in models adjusted for CAD risk factors; however, these associations were attenuated on adjusting for lung hyperinflation. Results were the same in those with airflow obstruction and were present in both cohorts.InterpretationLung hyperinflation is associated strongly with clinical and subclinical CAD in smokers, including those with airflow obstruction. After lung hyperinflation was accounted for, FEV1 and emphysema no longer were associated with CAD. Subsequent studies should consider measuring lung hyperinflation and examining its mechanistic role in CAD in current and former smokers.

Published
2021

13. Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function The Genetic Epidemiology of COPD Study

Author

Pistenmaa, Carrie L, Nardelli, P, Ash, SY, Come, CE, Diaz, AA, Rahaghi, FN, Barr, RG, Young, KA, Kinney, GL, Simmons, JP, Wade, RC, Wells, JM, Hokanson, JE, Washko, GR, San José Estépar, R, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri H, Castaldi, Peter J, Cho, Michael H, DeMeo, Dawn L, Boueiz, Adel El, Foreman, Marilyn G, Ghosh, Auyon, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Regan, Elizabeth, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S, Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Ferrero, Gonzalo Vegas Sanchez-, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, and Curtis, Jeffrey L

Subjects
Emphysema, Tobacco, Tobacco Smoke and Health, Lung, Chronic Obstructive Pulmonary Disease, Clinical Research, Biomedical Imaging, Respiratory, Disease Progression, Endothelium, Vascular, Female, Humans, Longitudinal Studies, Male, Middle Aged, Pulmonary Artery, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Smokers, Tomography, X-Ray Computed, emphysema, imaging, longitudinal, lung function, pulmonary circulation, COPDGene Investigators, Clinical Sciences, Respiratory System
Abstract

BackgroundPulmonary endothelial damage has been shown to precede the development of emphysema in animals, and vascular changes in humans have been observed in COPD and emphysema.Research questionIs intraparenchymal vascular pruning associated with longitudinal progression of emphysema on CT imaging or decline in lung function over 5 years?Study design and methodsThe Genetic Epidemiology of COPD Study enrolled ever smokers with and without COPD from 2008 through 2011. The percentage of emphysema-like lung, or "percent emphysema," was assessed at baseline and after 5 years on noncontrast CT imaging as the percentage of lung voxels < -950 Hounsfield units. An automated CT imaging-based tool assessed and classified intrapulmonary arteries and veins. Spirometry measures are postbronchodilator. Pulmonary arterial pruning was defined as a lower ratio of small artery volume (< 5 mm2 cross-sectional area) to total lung artery volume. Mixed linear models included demographics, anthropomorphics, smoking, and COPD, with emphysema models also adjusting for CT imaging scanner and lung function models adjusting for clinical center and baseline percent emphysema.ResultsAt baseline, the 4,227 participants were 60 ± 9 years of age, 50% were women, 28% were Black, 47% were current smokers, and 41% had COPD. Median percent emphysema was 2.1 (interquartile range, 0.6-6.3) and progressed 0.24 percentage points/y (95% CI, 0.22-0.26 percentage points/y) over 5.6 years. Mean FEV1 to FVC ratio was 68.5 ± 14.2% and declined 0.26%/y (95% CI, -0.30 to -0.23%/y). Greater pulmonary arterial pruning was associated with more rapid progression of percent emphysema (0.11 percentage points/y per 1-SD increase in arterial pruning; 95% CI, 0.09-0.16 percentage points/y), including after adjusting for baseline percent emphysema and FEV1. Arterial pruning also was associated with a faster decline in FEV1 to FVC ratio (-0.04%/y per 1-SD increase in arterial pruning; 95% CI, -0.008 to -0.001%/y).InterpretationPulmonary arterial pruning was associated with faster progression of percent emphysema and more rapid decline in FEV1 to FVC ratio over 5 years in ever smokers, suggesting that pulmonary vascular differences may be relevant in disease progression.Trial registryClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.

Published
2021

14. Longitudinal Association Between Muscle Loss and Mortality in Ever Smokers

Author

Crapo, James D., Silverman, Edwin K., Cummings, Sara, Madden, Kelley, Make, Barry J., Nabbosa, Juliet, Port, Emily, Rashdi, Serine, Regan, Elizabeth A., Stepp, Lori, Watts, Shandi, Weaver, Michael, Beaty, Terri, Bowler, Russell P., Curtis, Jeffrey L., Han, MeiLan K., Hokanson, John E., Lynch, David A., Strand, Matthew J., Anderson, Gary, Bleecker, Eugene R., Coxson, Harvey O., Crystal, Ronald G., Hogg, James C., Province, Michael A., Rennard, Stephen I., Croxton, Thomas, Gan, Weiniu, Postow, Lisa A., Viviano, Lisa M., Costa-Davis, Corinne, Malanga, Elisha, Prieto, Delia, Tal-Singer, Ruth, Farzadegan, Homayoon, Hadji, Akila, Sathe, Leena, Baraghoshi, David, Chen, Grace, Crooks, James, Knowles, Ruthie, Pratte, Katherine, Wilson, Carla, Zelarney, Pearlanne T., Kechris, Katerina J., Leach, Sonia, Austin, Erin E., Czizik, Annika, Kinney, Gregory, Li, Yisha, Lutz, Sharon M., Ragland, Margaret F., Richmond, Nicole, Young, Kendra A., Cho, Michael, Castaldi, Peter J., Glass, Kimberly, Hersh, Craig, Kim, Wonji, Liu, Yang-Yu, Hersh, Craig P., Bidinger, Jacqueline, Cho, Michael H., Conrad, Douglas, DeMeo, Dawn L., El-Boueiz, Adel R., Foreman, Marilyn G., Ghosh, Auyon, Hahn, Georg, Hansel, Nadia N., Hayden, Lystra P., Hobbs, Brian, Kim, Woori, Lange, Christoph, McDonald, Merry- Lynn, McGeachie, Michael, Moll, Matthew, Morris, Melody, Patsopoulos, Nikolaos A., Qiao, Dandi, Ruczinski, Ingo, Wan, Emily S., Dy, Jennifer G., Fain, Sean B., Ginsburg, Shoshana, Hoffman, Eric A., Humphries, Stephen, Judy, Philip F., Stefanie Mason, Alex Kluiber, Oh, Andrea, Poynton, Clare, Reinhardt, Joseph M., Ross, James, San Jose Estepar, Raul, Schroeder, Joyce D., Sitek, Arkadiusz, Steiner, Robert M., van Beek, Edwin, Ginneken, Bram van, van Rikxoort, Eva, Washko, George R., Jensen, Robert, John E. Hokanson, Co-Chair, Bhatt, Surya P., Casaburi, Richard, Kim, Victor, Putcha, Nirupama, Han, MeiLan, Bon, Jessica, Diaz, Alejandro A., Regan, Elizabeth, Anzueto, Antonio, Bailey, William C., Criner, Gerard J., Dransfield, Mark T., Kinney, Greg, Sprenger, Kim, Benos, Takis, Hanania, Nicola A., Hoth, Karin F., Lambert, Allison, Lowe, Katherine, Oates, Gabriela, Parekh, Trisha, Westney, Gloria, Young, Kendra, Balasubramanian, Aparna, Boriek, Aladin, Fawzy, Ashraf, Jacobson, Francine, LaFon, David C., MacIntyre, Neil, Maselli-Caceres, Diego, McCormack, Meredith C., McDonald, Merry-Lynn, Sciurba, Frank, Soler, Xavier, Tejwani, Vickram, van Beek, Edwin JR., Wade, Raymond C., Wells, Mike, Wendt, Chris H., Yun, Jeong H., Zhang, Jingzhou, Gillenwater, Lucas, Lowe, Katherine E., Pratte, Katherine A., Ragland, Margaret, Attaway, Amy, Mason, Stefanie, Rossiter, Harry B., Saha, Punam Kumar, Wilson, Ava, Amaza, Hannatu, Baldomero, Adrienne, Mamary, A. James, O’Brien, James, Wise, Robert A., Eakin, Michelle, Fiedorowicz, Jess G., Henkle, Ben, Holm, Kristen, Iyer, Anand, Kunisaki, Ken M., McEvoy, Charlene, Mkorombindo, Takudzwa, Shinozaki, Gen, Yohannes, Abebaw, Hobbs, Brian D., Miller, Bruce E., Retson, Tara, McCloskey, Lisa, Pernicano, Perry G., Atik, Mustafa, Bertrand, Laura, Monaco, Thomas, Narendra, Dharani, Lenge de Rosen, Veronica V., Badu-Danso, Kwame, Jacobson, Francine L., Kaufman, Laura, Maguire, Cherie, Struble, Sophie, Wilson, Seth, Barr, R. Graham, Almonte, Casandra, Austin, John H.M., Gomez Blum, Maria Lorena, D’Souza, Belinda M., Florez, Emilay, Martinez, Rodney, MacIntyre, Neil, Jr., Curry, Wendy, McAdams, H. Page, Reikofski, Charlotte V., Washington, Lacey, Brown, Robert, Clare, Cheryl, Daniel, Marie, Horton, Karen, Ting “Tony” Lin, Cheng, Mirza, Tahira, Scott, Meagan, Shade, Becky, Budoff, Matt, Calmelat, Robert, Cavanaugh, Deborah, Dailing, Chris, Diaz, Leticia, Fischer, Hans, Indelicato, Renee Love, Porszasz, Janos, Soriano, April, Stringer, William, Urrutia, Miriam, Baldomero, Arianne, Bell, Brian, Deconcini, Miranda, Loes, Linda, Phelan, Jonathan, Robichaux, Camille, Sasse, Cheryl, Tashjian, Joseph H., Flenaugh, Eric L., Abson, Kema, Gebrekristos, Hirut, Johnson, Priscilla, Jordan, Jessica, Ponce, Mario, Terpenning, Silanath, Wilson, Derrick, Broadhurst, Grace, Dyer, Debra, Engel, Elena, Finigan, Jay, Hill, Andrew, Jones, Alex, Jones, Ryan, Owen, Jordan, Rosiello, Richard, Andries, Nicole, Charpentier, Mary, Kirk, Diane, Pace, David, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Davis, Valena, Desai, Parag, Fehrle, Dee, Grabianowski, Carla, Jacobs, Michael, Jameson, Laurie, Jones, Gayle M., Kelsen, Steven, Marchetti, Nathaniel, McGonagle, Francine, Satti, Aditi, Shenoy, Kartik, Sheridan, Regina, Vega-Sanchez, Maria, Wallace, Samantha, Akinseye-kolapo, Samuel, Baker, Matthew, Goggins, Arnissa, McClain, Anny, Nath, Hrudaya, Singh, Satinder P., Sonavane, Sushil K., Westfall, Elizabeth, Gil, Marissa, El Hajjaoui, Tarek, Hsiao, Albert, Martineau, Amber, Mielke, Jenna, Perez, Karl, Querido, Gabriel, Reston, Tara, Yen, Andrew, Comellas, Alejandro, Fortis, Spyridon, Galizia, Mauricio, Garcia, Eric, Keating, Janet, Laroia, Archana, Lee, Changhyun, Meyer, Amber, Mullan, Brian, Nagpal, Prashant, Ofori, Oloigbe, Suiter, Sierra, Mason, Stefanie E., Moreta-Martinez, Rafael, Labaki, Wassim W., San Jose Estepar, Ruben, Make, Barry, and Stringer, Kathleen

Published
2022
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15. Lung Imaging in COPD Part 2: Emerging Concepts

Author

Raoof, Suhail, Shah, Manav, Braman, Sidney, Agrawal, Abhinav, Allaqaband, Hassan, Bowler, Russell, Castaldi, Peter, DeMeo, Dawn, Fernando, Shannon, Hall, Charles Scott, Han, MeiLan K., Hogg, James, Humphries, Stephen, Lee, Ho Yun, Lee, Kyung Soo, Lynch, David, Machnicki, Stephen, Mehta, Atul, Mehta, Sanjeev, Mina, Bushra, Naidich, David, Naidich, Jason, Ohno, Yoshiharu, Regan, Elizabeth, van Beek, Edwin J.R., Washko, George, and Make, Barry

Published
2023
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16. Coronary 18F-Sodium Fluoride Uptake Predicts Outcomes in Patients With Coronary Artery Disease

Author

Kwiecinski, Jacek, Tzolos, Evangelos, Adamson, Philip D, Cadet, Sebastien, Moss, Alastair J, Joshi, Nikhil, Williams, Michelle C, van Beek, Edwin JR, Dey, Damini, Berman, Daniel S, Newby, David E, Slomka, Piotr J, and Dweck, Marc R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease - Coronary Heart Disease, Cardiovascular, Heart Disease, Atherosclerosis, Prevention, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Aged, Computed Tomography Angiography, Coronary Artery Disease, Female, Fluorine Radioisotopes, Humans, Male, Middle Aged, Myocardial Infarction, Positron-Emission Tomography, Prognosis, coronary artery disease, coronary computed tomography, coronary event risk prediction, F-18-NaF PET, myocardial infarction, (18)F-NaF PET, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundReliable methods for predicting myocardial infarction in patients with established coronary artery disease are lacking. Coronary 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) provides an assessment of atherosclerosis activity.ObjectivesThis study assessed whether 18F-NaF PET predicts myocardial infarction and provides additional prognostic information to current methods of risk stratification.MethodsPatients with known coronary artery disease underwent 18F-NaF PET computed tomography and were followed up for fatal or nonfatal myocardial infarction over 42 months (interquartile range: 31 to 49 months). Total coronary 18F-NaF uptake was determined by the coronary microcalcification activity (CMA).ResultsIn a post hoc analysis of data collected for prospective observational studies, the authors studied 293 study participants (age: 65 ± 9 years; 84% men), of whom 203 (69%) showed increased coronary 18F-NaF activity (CMA >0). Fatal or nonfatal myocardial infarction occurred only in patients with increased coronary 18F-NaF activity (20 of 203 with a CMA >0 vs. 0 of 90 with a CMA of 0; p 1.56 had a >7-fold increase in fatal or nonfatal myocardial infarction (hazard ratio: 7.1; 95% confidence interval: 2.2 to 25.1; p = 0.003) independent of age, sex, risk factors, segment involvement and coronary calcium scores, presence of coronary stents, coronary stenosis, REACH and SMART scores, the Duke coronary artery disease index, and recent myocardial infarction.ConclusionsIn patients with established coronary artery disease, 18F-NaF PET provides powerful independent prediction of fatal or nonfatal myocardial infarction.

Published
2020

17. Machine Learning Characterization of COPD Subtypes Insights From the COPDGene Study

Author

Castaldi, Peter J, Boueiz, Adel, Yun, Jeong, San Jose Estepar, Raul, Ross, James C, Washko, George, Cho, Michael H, Hersh, Craig P, Kinney, Gregory L, Young, Kendra A, Regan, Elizabeth A, Lynch, David A, Criner, Gerald J, Dy, Jennifer G, Rennard, Stephen I, Casaburi, Richard, Make, Barry J, Crapo, James, Silverman, Edwin K, Hokanson, John E, Crapo, James D, Beaty, Terri, Begum, Ferdouse, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hetmanski, Jacqueline, Hobbs, Brian D, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Regan, Elizabeth, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, and Kechris, Katerina

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Genetics, Chronic Obstructive Pulmonary Disease, Lung, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Cluster Analysis, Diagnostic Imaging, Disease Progression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Machine Learning, Molecular Epidemiology, Phenotype, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, COPD, emphysema, machine learning, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consensus on how many COPD subtypes there are and how they should be defined. The COPD Genetic Epidemiology Study (COPDGene), which has generated 10-year longitudinal chest imaging, spirometry, and molecular data, is a rich resource for relating COPD phenotypes to underlying genetic and molecular mechanisms. In this article, we place COPDGene clustering studies in context with other highly cited COPD clustering studies, and summarize the main COPD subtype findings from COPDGene. First, most manifestations of COPD occur along a continuum, which explains why continuous aspects of COPD or disease axes may be more accurate and reproducible than subtypes identified through clustering methods. Second, continuous COPD-related measures can be used to create subgroups through the use of predictive models to define cut-points, and we review COPDGene research on blood eosinophil count thresholds as a specific example. Third, COPD phenotypes identified or prioritized through machine learning methods have led to novel biological discoveries, including novel emphysema genetic risk variants and systemic inflammatory subtypes of COPD. Fourth, trajectory-based COPD subtyping captures differences in the longitudinal evolution of COPD, addressing a major limitation of clustering analyses that are confounded by disease severity. Ongoing longitudinal characterization of subjects in COPDGene will provide useful insights about the relationship between lung imaging parameters, molecular markers, and COPD progression that will enable the identification of subtypes based on underlying disease processes and distinct patterns of disease progression, with the potential to improve the clinical relevance and reproducibility of COPD subtypes.

Published
2020

18. Disease Progression Modeling in Chronic Obstructive Pulmonary Disease

Author

Young, Alexandra L, Bragman, Felix JS, Rangelov, Bojidar, Han, MeiLan K, Galbán, Craig J, Lynch, David A, Hawkes, David J, Alexander, Daniel C, Hurst, John R, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Qiao, Dandi, Wan, Emily S, Won, Sungho, Sakornsakolpat, Phuwanat, Prokopenko, Dmitry, Al Qaisi, Mustafa, Coxson, Harvey O, Gray, Teresa, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Newell, John D, Ross, James C, Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A, Bhatt, Surya, Bon, Jessica, Martinez, Carlos, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Martinez, Carlos H, Pernicano, Perry G, Hanania, Nicola, Alapat, Philip, Atik, Mustafa, Bandi, Venkata, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Nachiappan, Arun, Parulekar, Amit, Barr, R Graham, Austin, John, D’Souza, Belinda, Pearson, Gregory DN, Rozenshtein, Anna, Thomashow, Byron, MacIntyre, Neil, McAdams, H Page, Washington, Lacey, McEvoy, Charlene, and Tashjian, Joseph

Subjects
Biomedical Imaging, Lung, Clinical Research, Chronic Obstructive Pulmonary Disease, Aetiology, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Respiratory, Aged, Disease Progression, Female, Humans, Male, Middle Aged, Models, Theoretical, Pulmonary Disease, Chronic Obstructive, Tomography, X-Ray Computed, clustering, CT imaging, emphysema, bronchitis, chronic obstructive pulmonary disease, COPDGene Investigators, Medical and Health Sciences, Respiratory System
Abstract

Rationale: The decades-long progression of chronic obstructive pulmonary disease (COPD) renders identifying different trajectories of disease progression challenging.Objectives: To identify subtypes of patients with COPD with distinct longitudinal progression patterns using a novel machine-learning tool called "Subtype and Stage Inference" (SuStaIn) and to evaluate the utility of SuStaIn for patient stratification in COPD.Methods: We applied SuStaIn to cross-sectional computed tomography imaging markers in 3,698 Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1-4 patients and 3,479 controls from the COPDGene (COPD Genetic Epidemiology) study to identify subtypes of patients with COPD. We confirmed the identified subtypes and progression patterns using ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) data. We assessed the utility of SuStaIn for patient stratification by comparing SuStaIn subtypes and stages at baseline with longitudinal follow-up data.Measurements and Main Results: We identified two trajectories of disease progression in COPD: a "Tissue→Airway" subtype (n = 2,354, 70.4%), in which small airway dysfunction and emphysema precede large airway wall abnormalities, and an "Airway→Tissue" subtype (n = 988, 29.6%), in which large airway wall abnormalities precede emphysema and small airway dysfunction. Subtypes were reproducible in ECLIPSE. Baseline stage in both subtypes correlated with future FEV1/FVC decline (r = -0.16 [P

Published
2020

19. Noninvasive In Vivo Coronary Artery Thrombus Imaging

Author

Tzolos, Evangelos, Bing, Rong, Andrews, Jack, MacAskill, Mark G., Tavares, Adriana A.S., Macnaught, Gillian, Clark, Tim, Mills, Nicholas L., Fujisawa, Takeshi, Nash, Jennifer, Dey, Damini, Slomka, Piotr J., Koglin, Norman, Stephens, Andrew W., Deutsch, Marcus-Andre, van Beek, Edwin J.R., Williams, Michelle C., Hermann, Sven, Hugenberg, Verena, Dweck, Marc R., and Newby, David E.

Published
2023
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20. Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, BanaeiKashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D'Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D'Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Tran, Thuonghien V., Kinney, Gregory L., Comellas, Alejandro, Baldomero, Arianne K., Hokanson, John, and Fortis, Spyridon

Published
2023
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21. Clinical Markers Associated With Risk of Suicide or Drug Overdose Among Individuals With Smoking Exposure: A Longitudinal Follow-up Study of the COPDGene Cohort

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Strand, Matthew, Crooks, Jim, Pratte, Katherine, Khatiwada, Aastha, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Adviento, Brigid A., Iyer, Anand S., Kinney, Gregory L., Hanania, Nicola A., Lowe, Katherine E., Holm, Kristen E., Yohannes, Abebaw M., Shinozaki, Gen, and Fiedorowicz, Jess G.

Published
2023
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23. Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR).

Author

deSouza, Nandita, Achten, Eric, Alberich-Bayarri, Angel, Bamberg, Fabian, Boellaard, Ronald, Clément, Olivier, Fournier, Laure, Gallagher, Ferdia, Golay, Xavier, Heussel, Claus, Jackson, Edward, Manniesing, Rashindra, Mayerhofer, Marius, Neri, Emanuele, OConnor, James, Oguz, Kader, Persson, Anders, Smits, Marion, van Beek, Edwin, and Zech, Christoph

Subjects
Clinical decision making, Imaging biomarkers, Quantitation, Standardisation
Abstract

Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used in scoring coronary artery disease, the arthritides and neurological conditions and for indicating the likelihood of malignancy. However, in an era of machine learning and artificial intelligence, it is increasingly desirable that we extract quantitative biomarkers from medical images that inform on disease detection, characterisation, monitoring and assessment of response to treatment. Quantitation has the potential to provide objective decision-support tools in the management pathway of patients. Despite this, the quantitative potential of imaging remains under-exploited because of variability of the measurement, lack of harmonised systems for data acquisition and analysis, and crucially, a paucity of evidence on how such quantitation potentially affects clinical decision-making and patient outcome. This article reviews the current evidence for the use of semi-quantitative and quantitative biomarkers in clinical settings at various stages of the disease pathway including diagnosis, staging and prognosis, as well as predicting and detecting treatment response. It critically appraises current practice and sets out recommendations for using imaging objectively to drive patient management decisions.

Published
2019

24. Identifying Smoking-Related Disease on Lung Cancer Screening CT Scans: Increasing the Value.

Author

Regan, Elizabeth A, Lowe, Katherine E, Make, Barry J, Lynch, David A, Kinney, Gregory L, Budoff, Matthew J, Mao, Song Shou, Dyer, Debra, Curtis, Jeffrey L, Bowler, Russell P, Han, MeiLan K, Beaty, Terri H, Hokanson, John E, Kern, Elizabeth, Humphries, Stephen, Curran-Everett, Douglas, van Beek, Edwin JR, Silverman, Edwin K, Crapo, James D, and Finigan, James H

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Clinical Research, Women's Health, Biomedical Imaging, Lung, Lung Cancer, Cancer, Tobacco, Aging, Prevention, Osteoporosis, Cardiovascular, Chronic Obstructive Pulmonary Disease, Tobacco Smoke and Health, Respiratory, Good Health and Well Being, chronic obstructive pulmonary disease, COPD, lung cancer screenings, smoking-related disease, comorbidities, COPDGene® Investigators, copd
Abstract

BackgroundLung cancer screening (LCS) via chest computed tomography (CT) scans can save lives by identifying early-stage tumors. However, most smokers die of comorbid smoking-related diseases. LCS scans contain information about smoking-related conditions that is not currently systematically assessed. Identifying these common comorbid diseases on CT could increase the value of screening with minimal impact on LCS programs. We determined the prevalence of 3 comorbid diseases from LCS eligible scans and quantified related adverse outcomes.MethodsWe studied COPD Genetic Epidemiology study (COPDGene®) participants (n=4078) who met criteria for LCS screening at enrollment (age > 55 years, and < 80 years, > 30 pack years smoking, current smoker or former smoker within 15 years of smoking cessation). CT scans were assessed for coronary artery calcification (CAC), emphysema, and vertebral bone density. We tracked the following clinically significant events: myocardial infarctions (MIs), strokes, pneumonia, respiratory exacerbations, and hip and vertebral fractures.ResultsOverall, 77% of eligible CT scans had one or more of these diagnoses identified. CAC (> 100 mg) was identified in 51% of scans, emphysema in 44%, and osteoporosis in 54%. Adverse events related to the underlying smoking-related diseases were common, with 50% of participants reporting at least one. New diagnoses of cardiovascular disease, emphysema and osteoporosis were made in 25%, 7% and 46%, of participants respectively. New diagnosis of disease was associated with significantly more adverse events than in participants who did not have CT diagnoses for both osteoporosis and cardiovascular risk.ConclusionsExpanded analysis of LCS CT scans identified individuals with evidence of previously undiagnosed cardiovascular disease, emphysema or osteoporosis that corresponded with adverse events. LCS CT scans can potentially facilitate diagnoses of these smoking-related diseases and provide an opportunity for treatment or prevention.

Published
2019

25. Noninvasive In Vivo Thrombus Imaging in Patients With Ischemic Stroke or Transient Ischemic Attack—Brief Report

Author

Whittington, Beth, Tzolos, Evangelos, Bing, Rong, Andrews, Jack, Lucatelli, Christophe, MacAskill, Mark G., Tavares, Adriana A.S., Clark, Tim, Mills, Nicholas L., Nash, Jennifer, Dey, Damini, Slomka, Piotr J., Koglin, Norman, Stephens, Andrew W., van Beek, Edwin J.R., Smith, Colin, Dweck, Marc R., Williams, Michelle C., Whiteley, William, Wardlaw, Joanna M., and Newby, David E.

Published
2023
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26. Quantifying microcalcification activity in the thoracic aorta

Author

Fletcher, Alexander J., Lembo, Maria, Kwiecinski, Jacek, Syed, Maaz B. J., Nash, Jennifer, Tzolos, Evangelos, Bing, Rong, Cadet, Sebastien, MacNaught, Gillian, van Beek, Edwin J. R., Moss, Alistair J., Doris, Mhairi K., Walker, Niki L., Dey, Damini, Adamson, Philip D., Newby, David E., Slomka, Piotr J., and Dweck, Marc R.

Published
2022
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27. 18F-Sodium Fluoride Positron Emission Tomography and Computed Tomography in Acute Aortic Syndrome

Author

Syed, Maaz B.J., Fletcher, Alexander J., Debono, Samuel, Forsythe, Rachel O., Williams, Michelle C., Dweck, Marc R., Shah, Anoop S.V., Macaskill, Mark G., Tavares, Adriana, Denvir, Martin A., Lim, Kelvin, Wallace, William A., Kaczynski, Jakub, Clark, Tim, Sellers, Stephanie L., Masson, Neil, Falah, Orwa, Chalmers, Roderick T.A., Tambyraja, Andrew L., van Beek, Edwin J.R., and Newby, David E.

Published
2022
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28. Thoracic Aortic 18F-Sodium Fluoride Activity and Ischemic Stroke in Patients With Established Cardiovascular Disease

Author

Fletcher, Alexander J., Tew, Yong Y., Tzolos, Evangelos, Joshi, Shruti S., Kaczynski, Jakub, Nash, Jennifer, Debono, Samuel, Lembo, Maria, Kwiecinski, Jacek, Bing, Rong, Syed, Maaz B.J., Doris, Mhairi K., van Beek, Edwin J.R., Moss, Alistair J., Jenkins, William S., Walker, Niki L., Joshi, Nikhil V., Pawade, Tania A., Adamson, Philip D., Whiteley, William N., Wardlaw, Joanna M., Slomka, Piotr J., Williams, Michelle C., Newby, David E., and Dweck, Marc R.

Published
2022
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29. Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction

Author

Tzolos, Evangelos, Williams, Michelle C., McElhinney, Priscilla, Lin, Andrew, Grodecki, Kajetan, Flores Tomasino, Guadalupe, Cadet, Sebastien, Kwiecinski, Jacek, Doris, Mhairi, Adamson, Philip D., Moss, Alastair J., Alam, Shirjel, Hunter, Amanda, Shah, Anoop S.V., Mills, Nicholas L., Pawade, Tania, Wang, Chengjia, Weir-McCall, Jonathan R., Roditi, Giles, van Beek, Edwin J.R., Shaw, Leslee J., Nicol, Edward D., Berman, Daniel S., Slomka, Piotr J., Dweck, Marc R., Newby, David E., and Dey, Damini

Published
2022
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30. 18F-GP1 Positron Emission Tomography and Bioprosthetic Aortic Valve Thrombus

Author

Bing, Rong, Deutsch, Marcus-André, Sellers, Stephanie L., Corral, Carlos Alcaide, Andrews, Jack P.M., van Beek, Edwin J.R., Bleiziffer, Sabine, Burchert, Wolfgang, Clark, Tim, Dey, Damini, Friedrichs, Kai, Gummert, Jan F., Koglin, Norman, Leipsic, Jonathon A., Lindner, Oliver, MacAskill, Mark G., Milting, Hendrik, Pessotto, Renzo, Preuss, Rainer, Raftis, Jennifer B., Rudolph, Tanja K., Rudolph, Volker, Slomka, Piotr, Stephens, Andrew W., Tavares, Adriana, Tzolos, Evangelos, Weir, Nick, White, Audrey C., Williams, Michelle C., Zabel, Reinhard, Dweck, Marc R., Hugenberg, Verena, and Newby, David E.

Published
2022
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32. Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease

Author

Yun, Jeong H, Lamb, Andrew, Chase, Robert, Singh, Dave, Parker, Margaret M, Saferali, Aabida, Vestbo, Jørgen, Tal-Singer, Ruth, Castaldi, Peter J, Silverman, Edwin K, Hersh, Craig P, Crapo, James D, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Busch, Robert, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hansel, Nadia N, Hardin, Megan E, Hayden, Lystra P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Qiao, Dandi, Santorico, Stephanie, Silverman, E, Wan, Emily S, Won, Sungho, Qaisi, Mustafa Al, Coxson, Harvey O, Gray, Teresa, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Newell, John D, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A, Curtis, Jeffrey L, Martinez, Carlos H, Pernicano, Perry G, Hanania, Nicola, Alapat, Philip, Atik, Mustafa, Bandi, Venkata, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Nachiappan, Arun, Parulekar, Amit, Hersh, Craig, Barr, R Graham, Austin, John, D'Souza, Belinda, Pearson, Gregory DN, and Rozenshtein, Anna

Subjects
Lung, Chronic Obstructive Pulmonary Disease, Clinical Research, Respiratory, Aged, Disease Progression, Eosinophils, Female, Humans, Leukocyte Count, Longitudinal Studies, Male, Middle Aged, Observational Studies as Topic, Pulmonary Disease, Chronic Obstructive, Chronic obstructive pulmonary disease, asthma, eosinophil, exacerbation, COPDGene and ECLIPSE Investigators, Immunology, Allergy
Abstract

BACKGROUND:Eosinophilic airway inflammation in patients with chronic obstructive pulmonary disease (COPD) is associated with exacerbations and responsivity to steroids, suggesting potential shared mechanisms with eosinophilic asthma. However, there is no consistent blood eosinophil count that has been used to define the increased exacerbation risk. OBJECTIVE:We sought to investigate blood eosinophil counts associated with exacerbation risk in patients with COPD. METHODS:Blood eosinophil counts and exacerbation risk were analyzed in patients with moderate-to-severe COPD by using 2 independent studies of former and current smokers with longitudinal data. The Genetic Epidemiology of COPD (COPDGene) study was analyzed for discovery (n = 1,553), and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) study was analyzed for validation (n = 1,895). A subset of the ECLIPSE study subjects were used to assess the stability of blood eosinophil counts over time. RESULTS:COPD exacerbation risk increased with higher eosinophil counts. An eosinophil count threshold of 300 cells/μL or greater showed adjusted incidence rate ratios for exacerbations of 1.32 in the COPDGene study (95% CI, 1.10-1.63). The cutoff of 300 cells/μL or greater was validated for prospective risk of exacerbation in the ECLIPSE study, with adjusted incidence rate ratios of 1.22 (95% CI, 1.06-1.41) using 3-year follow-up data. Stratified analysis confirmed that the increased exacerbation risk associated with an eosinophil count of 300 cells/μL or greater was driven by subjects with a history of frequent exacerbations in both the COPDGene and ECLIPSE studies. CONCLUSIONS:Patients with moderate-to-severe COPD and blood eosinophil counts of 300 cells/μL or greater had an increased risk exacerbations in the COPDGene study, which was prospectively validated in the ECLIPSE study.

Published
2018

35. Functional Assessment of Pulmonary Venous Thromboembolism

Author

van Beek, Edwin J. R., Swift, Andrew J., Kauczor, Hans-Ulrich, Series Editor, Parizel, Paul M., Series Editor, Peh, Wilfred C. G., Series Editor, Brady, Luther W., Honorary Editor, Lu, Jiade J., Series Editor, Ohno, Yoshiharu, editor, and Hatabu, Hiroto, editor

Published
2021
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37. Coronary Atherosclerotic Plaque Activity and Risk of Myocardial Infarction

Author

Wang, Kang-Ling, primary, Balmforth, Craig, additional, Meah, Mohammed N., additional, Daghem, Marwa, additional, Moss, Alastair J., additional, Tzolos, Evangelos, additional, Kwiecinski, Jacek, additional, Molek-Dziadosz, Patrycja, additional, Craig, Neil, additional, Bularga, Anda, additional, Adamson, Philip D., additional, Dawson, Dana K., additional, Arumugam, Parthiban, additional, Sabharwal, Nikant K., additional, Greenwood, John P., additional, Townend, Jonathan N., additional, Calvert, Patrick A., additional, Rudd, James H.F., additional, Verjans, Johan W., additional, Berman, Daniel S., additional, Slomka, Piotr J., additional, Dey, Damini, additional, Mills, Nicholas L., additional, van Beek, Edwin J.R., additional, Williams, Michelle C., additional, Dweck, Marc R., additional, and Newby, David E., additional

Published
2024
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39. Emphysema Progression and Lung Function Decline Among Angiotensin Converting Enzyme Inhibitors and Angiotensin-Receptor Blockade Users in the COPDGene Cohort

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, Flenaugh, Eric, Terpenning, Silanth, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, KenM., Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Tejwani, Vickram, Fawzy, Ashraf, Cho, Michael H., Pratte, Katherine A., Humphries, Stephen M., Kinney, Gregory L., and D’Alessio, Franco R.

Published
2021
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40. Sex-Specific Computed Tomography Coronary Plaque Characterization and Risk of Myocardial Infarction

Author

Williams, Michelle C., Kwiecinski, Jacek, Doris, Mhairi, McElhinney, Priscilla, D’Souza, Michelle S., Cadet, Sebastien, Adamson, Philip D., Moss, Alastair J., Alam, Shirjel, Hunter, Amanda, Shah, Anoop S.V., Mills, Nicholas L., Pawade, Tania, Wang, Chengjia, Weir-McCall, Jonathan R., Bonnici-Mallia, Michael, Murrills, Christopher, Roditi, Giles, van Beek, Edwin J.R., Shaw, Leslee J., Nicol, Edward D., Berman, Daniel S., Slomka, Piotr J., Newby, David E., Dweck, Marc R., and Dey, Damini

Published
2021
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41. The Association Between Lung Hyperinflation and Coronary Artery Disease in Smokers

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R., Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Al Qaisi, Mustafa, Coxson, Harvey O., Gray, Teresa, Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bram van, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Bhatt, Surya, Bon, Jessica, Martinez, Carlos, Murray, Susan, Soler, Xavier, Banaei-Kashani, Farnoush, Bowler, Russell P., Kechris, Katerina, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Diaz, Alejandro A., Hersh, Craig, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, DeBakey, Michael E., Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Berkowitz, Eugene, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Bhatt, Surya P., Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Ramsdell, Joe, Friedman, Paul, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Martinez, Carlos H., Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Gupta, Aman, Kinney, Gregory L., Fuhrman, Carl R., Leader, Joseph K., Hokanson, John, and Sciurba, Frank C.

Published
2021
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42. Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function: The Genetic Epidemiology of COPD Study

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez- Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Pistenmaa, Carrie L., Nardelli, P., Ash, S.Y., Come, C.E., Diaz, A.A., Rahaghi, F.N., Barr, R.G., Young, K.A., Kinney, G.L., Simmons, J.P., Wade, R.C., Wells, J.M., Hokanson, J.E., Washko, G.R., and San José Estépar, R.

Published
2021
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43. Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression

Author

Boueiz, Adel, Chang, Yale, Cho, Michael H, Washko, George R, San José Estépar, Raul, Bowler, Russell P, Crapo, James D, DeMeo, Dawn L, Dy, Jennifer G, Silverman, Edwin K, Castaldi, Peter J, Crapo, James, Silverman, Edwin, Make, Barry, Regan, Elizabeth, Beaty, Terri, Laird, Nan, Lange, Christoph, Santorico, Stephanie, Hokanson, John, DeMeo, Dawn, Hansel, Nadia, Hersh, Craig, Castaldi, Peter, McDonald, Merry-Lynn, Wan, Emily, Hardin, Megan, Hetmanski, Jacqueline, Parker, Margaret, Foreman, Marilyn, Hobbs, Brian, Busch, Robert, Qiao, Dandi, Halper-Stromberg, Eitan, Begum, Ferdouse, Won, Sungho, Lutz, Sharon, Lynch, David A, Coxson, Harvey O, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Newell, John D, Ross, James C, Estépar, Raul José, Stoel, Berend C, Tschirren, Juerg, van Rikxoort, Eva, van Ginneken, Bram, Wilson, Carla G, Qaisi, Mustafa Al, Gray, Teresa, Kluiber, Alex, Mann, Tanya, Sieren, Jered, Stinson, Douglas, Schroeder, Joyce, Van Beek, Edwin, Jensen, Robert, Everett, Douglas, Faino, Anna, Strand, Matt, Wilson, Carla, Hokanson, John E, Kinney, Gregory, Young, Kendra, Pratte, Katherine, Duca, Lindsey, Curtis, Jeffrey L, Martinez, Carlos H, Pernicano, Perry G, Hanania, Nicola, Alapat, Philip, Bandi, Venkata, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Nachiappan, Arun, Jacobson, Francine, Barr, R Graham, Thomashow, Byron, Austin, John, D’Souza, Belinda, and Pearson, Gregory DN

Subjects
Clinical Research, Chronic Obstructive Pulmonary Disease, Lung, Emphysema, Prevention, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Aged, Comorbidity, Disease Progression, Female, Forced Expiratory Volume, Humans, Male, Middle Aged, Pulmonary Emphysema, Severity of Illness Index, Tomography, X-Ray Computed, clustering, COPD, COPD disease progression, emphysema distribution, machine learning, COPDGene Investigators, Clinical Sciences, Respiratory System
Abstract

BackgroundEmphysema has considerable variability in its regional distribution. Craniocaudal emphysema distribution is an important predictor of the response to lung volume reduction. However, there is little consensus regarding how to define upper lobe-predominant and lower lobe-predominant emphysema subtypes. Consequently, the clinical and genetic associations with these subtypes are poorly characterized.MethodsWe sought to identify subgroups characterized by upper-lobe or lower-lobe emphysema predominance and comparable amounts of total emphysema by analyzing data from 9,210 smokers without alpha-1-antitrypsin deficiency in the Genetic Epidemiology of COPD (COPDGene) cohort. CT densitometric emphysema was measured in each lung lobe. Random forest clustering was applied to lobar emphysema variables after regressing out the effects of total emphysema. Clusters were tested for association with clinical and imaging outcomes at baseline and at 5-year follow-up. Their associations with genetic variants were also compared.ResultsThree clusters were identified: minimal emphysema (n = 1,312), upper lobe-predominant emphysema (n = 905), and lower lobe-predominant emphysema (n = 796). Despite a similar amount of total emphysema, the lower-lobe group had more severe airflow obstruction at baseline and higher rates of metabolic syndrome compared with subjects with upper-lobe predominance. The group with upper-lobe predominance had greater 5-year progression of emphysema, gas trapping, and dyspnea. Differential associations with known COPD genetic risk variants were noted.ConclusionsSubgroups of smokers defined by upper-lobe or lower-lobe emphysema predominance exhibit different functional and radiological disease progression rates, and the upper-lobe predominant subtype shows evidence of association with known COPD genetic risk variants. These subgroups may be useful in the development of personalized treatments for COPD.

Published
2018

44. Can dynamic imaging, using 18F-FDG PET/CT and CT perfusion differentiate between benign and malignant pulmonary nodules?

Author

Marin Aleksander, Murchison John T., Skwarski Kristopher M., Tavares Adriana A.S., Fletcher Alison, Wallace William A., Salapura Vladka, van Beek Edwin J.R., and Mirsadraee Saeed

Subjects
pulmonary nodule, perfusion, ct, dynamic, pet/ct, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

The aim of the study was to derive and compare metabolic parameters relating to benign and malignant pulmonary nodules using dynamic 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG) PET/CT, and nodule perfusion parameters derived through perfusion computed tomography (CT).

Published
2021
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46. Asthma Is a Risk Factor for Respiratory Exacerbations Without Increased Rate of Lung Function Decline: Five-Year Follow-up in Adult Smokers From the COPDGene Study

Author

Crapo, James D., Make, Barry J., Regan, Elizabeth A., Silverman, Edwin K., Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R., Busch, Robert, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hansel, Nadia N., Hardin, Megan E., Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Qiao, Dandi, Santorico, Stephanie, Wan, Emily S., Al Qaisi, Mustafa, Coxson, Harvey O., Gray, Teresa, Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Qiu, Weiliang, Strand, Matthew J., and van Beek, Edwin J.

Published
2018
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47. Effect of Denosumab or Alendronate on Vascular Calcification: Secondary Analysis of SALTIRE2 Randomized Controlled Trial.

Author

Geers, Jolien, Rong Bing, Pawade, Tania A., Doris, Mhairi K., Daghem, Marwa, Fletcher, Alexander J., White, Audrey C., Forsyth, Laura, Evans, Emily, Kwieciński, Jacek, Williams, Michelle C., van Beek, Edwin J. R., Soongu Kwak, Peeters, Frederique E. C. M., Tzolos, Evangelos, Slomka, Piotr J., Lucatelli, Christophe, Ralston, Stuart H., Prendergast, Bernard, and Newby, David E.

Published
2024
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49. Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Boueiz, Adel, Yun, Jeong, Washko, George, Cho, Michael H., Kinney, Gregory L., Criner, Gerald J., Dy, Jennifer G., Rennard, Stephen I., Casaburi, Richard, and Crapo, James

Published
2020
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