Journal article
Voxel-Wise Longitudinal Parametric Response Mapping Analysis of Chest Computed Tomography in Smokers
Academic radiology, Vol.26(2), pp.217-223
02/2019
DOI: 10.1016/j.acra.2018.05.024
PMCID: PMC6340741
PMID: 30055897
Abstract
Chronic obstructive pulmonary disease is a heterogeneous disease characterized by small airway abnormality and emphysema. We hypothesized that a voxel-wise computed tomography analytic approach would identify patterns of disease progression in smokers.
We analyzed 725 smokers in spirometric GOLD stages 0-4 with two chest CTs 5 years apart. Baseline inspiration, follow-up inspiration and follow-up expiration images were spatially registered to baseline expiration so that each voxel had correspondences across all time points and respiratory phases. Voxel-wise Parametric Response Mapping (PRM) was then generated for the baseline and follow-up scans. PRM classifies lung as normal, functional small airway disease (PRMfSAD), and emphysema (PRMEMPH).
Subjects with low baseline PRMfSAD and PRMEMPH predominantly had an increase in PRMfSAD on follow-up; those with higher baseline PRMfSAD and PRMEMPH mostly had increases in PRMEMPH. For GOLD 0 participants (n = 419), mean 5-year increases in PRMfSAD and PRMEMPH were 0.3% for both; for GOLD 1–4 participants (n = 306), they were 0.6% and 1.6%, respectively. Eighty GOLD 0 subjects (19.1%) had overall radiologic progression (30.0% to PRMfSAD, 52.5% to PRMEMPH, and 17.5% to both); 153 GOLD 1–4 subjects (50.0%) experienced progression (17.6% to PRMfSAD, 48.4% to PRMEMPH, and 34.0% to both). In a multivariable model, both baseline PRMfSAD and PRMEMPH were associated with development of PRMEMPH on follow-up, although this relationship was diminished at higher levels of baseline PRMEMPH.
A voxel-wise longitudinal PRM analytic approach can identify patterns of disease progression in smokers with and without chronic obstructive pulmonary disease.
Details
- Title: Subtitle
- Voxel-Wise Longitudinal Parametric Response Mapping Analysis of Chest Computed Tomography in Smokers
- Creators
- Wassim W. Labaki - Division of Pulmonary and Critical Care Medicine, University of Michigan, 3916 Taubman Center, 1500 E Medical Center Drive, Ann Arbor, MITian Gu - University of Michigan–Ann ArborSusan Murray - University of MichiganCharles R. Hatt - ImbioCraig J. Galbán - University of MichiganBrian D. Ross - University of Michigan–Ann ArborCarlos H. Martinez - Division of Pulmonary and Critical Care Medicine, University of Michigan, 3916 Taubman Center, 1500 E Medical Center Drive, Ann Arbor, MIJeffrey L. Curtis - VA Ann Arbor Healthcare SystemEric A. Hoffman - University of IowaEsther Pompe - University Medical Center UtrechtDavid A. Lynch - National Jewish HealthElla A. Kazerooni - University of Michigan–Ann ArborFernando J. Martinez - Cornell UniversityMeiLan K. Han - Division of Pulmonary and Critical Care Medicine, University of Michigan, 3916 Taubman Center, 1500 E Medical Center Drive, Ann Arbor, MI
- Resource Type
- Journal article
- Publication Details
- Academic radiology, Vol.26(2), pp.217-223
- DOI
- 10.1016/j.acra.2018.05.024
- PMID
- 30055897
- PMCID
- PMC6340741
- NLM abbreviation
- Acad Radiol
- ISSN
- 1076-6332
- eISSN
- 1878-4046
- Publisher
- Elsevier Inc
- Grant note
- name: U.S. National Heart, Lung and Blood Institute, award: R01HL089897, R01HL089856, NCT00608764; DOI: 10.13039/100008184, name: COPD Foundation; DOI: 10.13039/100000002, name: NIH, award: HHSN268200900013C, HHSN268200900014C, HHSN268200900015C, HHSN268200900016C, HHSN268200900017C, HHSN268200900018C, HHSN268200900019C, HHSN268200900020C; DOI: 10.13039/100000002, name: NIH, award: R01HL122438, R01HL126838, K24HL138188, T32HL007749
- Language
- English
- Date published
- 02/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318807902771
Metrics
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