Chronic obstructive pulmonary disease (COPD) is a highly prevalent but heterogeneous disorder, particularly with respect to disease progression. Thoracic imaging holds promise for characterizing disease heterogeneity but is limited by the inability to resolve emphysema and small airways disease. Small airways disease is the primary site of airflow obstruction in COPD and precedes the development of emphysema. There remains a critical need to non-invasively characterize the pathologic heterogeneity of COPD, particularly at an early stage in order to develop targeted therapies. We recently developed the Parametric Response Map (PRM capable of assessing functional small airways disease (fSAD) and emphysema. Our preliminary data suggest that PRM: a) identifies abnormality even in those without spirometric obstruction;b) fSAD is the predominant lesion in mildly obstructed patients whereas emphysema predominates in more severely obstructed subjects;c) and fSAD precedes the development of CT defined emphysema. We hypothesize that PRM metrics will allow us to non-invasively evaluate the regional structural heterogeneity of airflow obstruction and its relationship to clinically relevant outcomes. To test this hypothesis we plan to leverage two NHLBI cohorts. The first is the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS), a 3,200 subject study where a baseline and one-year CT are already included in the protocol linked to extensive clinical and biologic data;this proposal will also fund an additional 200 three-year CT's. The second is COPDGene, a 10,000 subject study with baseline and five year CTs. We will also take advantage of the active lung transplant programs at the University of Michigan and Temple University to obtain explants for this proposal. We plan to test our central hypothesis by pursuing the following three specific aims: (1) determine whether PRM fSAD precedes the development of emphysema and lung function decline by performing PRM on baseline, 1-year and 3-year CT images;(2) determine the relationship between PRM metrics and clinical outcomes including acute exacerbations of COPD;and (3) determine relationship between the extent of histological abnormality in the small airways and the emphysema with PRM metrics from the same patients. it is our expectation that PRM fSAD will identify COPD patients at risk for more rapid disease progression and histologically verified small airways disease. Such results could both identify patients appropriate for more intense, targeted therapy at an early disease stage and contribute to our understanding of the progression of small airways disease and emphysema in COPD and its relationship to important clinical outcomes.

Public Health Relevance

COPD is a highly prevalent but heterogeneous disorder with rising morbidity, mortality and limited therapeutic options. Our efforts to develop treatments have been hampered by an inability to identify patients at greatest risk for disease progression. This study proposes to apply a novel analytic technique to standard thoracic CT images that we believe will allow us to both identify early abnormalities and identify unique patient subgroups that will aid the development of targeted therapies at an individual patient level.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL122438-01
Application #
8672946
Study Section
Special Emphasis Panel (ZRG1-DTCS-A (81))
Program Officer
Punturieri, Antonello
Project Start
2014-05-05
Project End
2018-04-30
Budget Start
2014-05-05
Budget End
2015-04-30
Support Year
1
Fiscal Year
2014
Total Cost
$1,015,251
Indirect Cost
$265,800
Name
University of Michigan Ann Arbor
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Martinez, Carlos H; Li, Sara X; Hirzel, Andrew J et al. (2018) Alveolar eosinophilia in current smokers with chronic obstructive pulmonary disease in the SPIROMICS cohort. J Allergy Clin Immunol 141:429-432
Labaki, Wassim W; Xia, Meng; Murray, Susan et al. (2018) NT-proBNP in stable COPD and future exacerbation risk: Analysis of the SPIROMICS cohort. Respir Med 140:87-93
Labaki, Wassim W; Han, MeiLan K (2018) Artificial Intelligence and Chest Imaging. Will Deep Learning Make Us Smarter? Am J Respir Crit Care Med 197:148-150
Tanabe, Naoya; Vasilescu, Drago? M; Kirby, Miranda et al. (2018) Analysis of airway pathology in COPD using a combination of computed tomography, micro-computed tomography and histology. Eur Respir J 51:
Pirozzi, Cheryl S; Gu, Tian; Quibrera, Pedro M et al. (2018) Heterogeneous burden of lung disease in smokers with borderline airflow obstruction. Respir Res 19:223
Han, MeiLan K; Tayob, Nabihah; Murray, Susan et al. (2018) Association between Emphysema and Chronic Obstructive Pulmonary Disease Outcomes in the COPDGene and SPIROMICS Cohorts: A Post Hoc Analysis of Two Clinical Trials. Am J Respir Crit Care Med 198:265-267
Labaki, Wassim W; Gu, Tian; Murray, Susan et al. (2018) Voxel-Wise Longitudinal Parametric Response Mapping Analysis of Chest Computed Tomography in Smokers. Acad Radiol :
Martinez, Carlos H; Freeman, Christine M; Nelson, Joshua D et al. (2017) GDF-15 plasma levels in chronic obstructive pulmonary disease are associated with subclinical coronary artery disease. Respir Res 18:42
Fernández-Baldera, Antonio; Hatt, Charles R; Murray, Susan et al. (2017) Correcting Nonpathological Variation in Longitudinal Parametric Response Maps of CT Scans in COPD Subjects: SPIROMICS. Tomography 3:138-145
Han, MeiLan K; Quibrera, Pedro M; Carretta, Elizabeth E et al. (2017) Frequency of exacerbations in patients with chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohort. Lancet Respir Med 5:619-626

Showing the most recent 10 out of 31 publications