Parametric Response Mapping Monitors Temporal Changes on Lung CT Scans in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

被引:87
作者
Boes, Jennifer L. [1 ]
Hoff, Benjamin A. [1 ]
Bule, Maria [1 ]
Johnson, Timothy D. [2 ]
Rehemtulla, Alnawaz [3 ]
Chamberlain, Ryan [4 ]
Hoffman, Eric A. [5 ]
Kazerooni, Ella A. [1 ]
Martinez, Fernando J. [6 ]
Han, Meilan K. [7 ]
Ross, Brian D. [1 ]
Galban, Craig J. [1 ]
机构
[1] Univ Michigan, Dept Radiol, Ctr Mol Imaging, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Biostat, Ctr Mol Imaging, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Radiat Oncol, Ctr Mol Imaging, Ann Arbor, MI 48109 USA
[4] Imbio LLC, Minneapolis, MN USA
[5] Univ Iowa, Dept Radiol, Iowa City, IA 52242 USA
[6] Weill Cornell Med Coll, Dept Med, New York, NY USA
[7] Univ Michigan, Dept Internal Med, Ctr Mol Imaging, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
Chronic obstructive pulmonary disease; disease progression; diagnostic imaging; voxel-wise analysis; parametric response map; small airways disease; computed tomography; OBSTRUCTIVE PULMONARY-DISEASE; QUANTITATIVE COMPUTED-TOMOGRAPHY; RISK-FACTORS; EMPHYSEMA; SMOKERS; DIAGNOSIS; QUANTIFICATION; HETEROGENEITY; PHENOTYPE; EXPANSION;
D O I
10.1016/j.acra.2014.08.015
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: The longitudinal relationship between regional air trapping and emphysema remains unexplored. We have sought to demonstrate the utility of parametric response mapping (PRM), a computed tomography (CT)-based biomarker, for monitoring regional disease progression in chronic obstructive pulmonary disease (COPD) patients, linking expiratory- and inspiratorybased CT metrics over time. Materials and Methods: Inspiratory and expiratory lung CT scans were acquired from 89 COPD subjects with varying Global Initiative for Chronic Obstructive Lung Disease (GOLD) status at 30 days (n = 13) or 1 year (n = 76) from baseline as part of the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) clinical trial. PRMs of CT data were used to quantify the relative volumes of normal parenchyma (PRMNormal), emphysema (PRMEmPh), and functional small airways disease (PRMfSAD). PRM measurement variability was assessed using the 30-day interval data. Changes in PRM metrics over a 1-year period were correlated to pulmonary function (forced expiratory volume at 1 second [FEV1]). A theoretical model that simulates PRM changes from COPD was compared to experimental findings. Results: PRM metrics varied by, similar to 6.5% of total lung volume for PRM(Normal)l and PRMfSAD and 1% for PRMEmPh when testing 30-day repeatability. Over 1-year interval, only PRMEmPh in severe COPD subjects produced significant change (19%-21%). However, 11 of 76 subjects showed changes in PRMfSAD greater than variations observed from analysis of 30-day data. Mathematical model simulations agreed with experimental PRM results, suggesting fSAD is a transitional phase from normal parenchyma to emphysema. Conclusions: PRM of lung CT scans in COPD patients provides an opportunity to more precisely characterize underlying disease phenotypes, with the potential to monitor disease status and therapy response.
引用
收藏
页码:186 / 194
页数:9
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