Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.
Aged
Aged, 80 and over
Female
Follow-Up Studies
Fractals
Humans
Kaplan-Meier Estimate
Lung
/ pathology
Male
Middle Aged
Multivariate Analysis
Prognosis
Pulmonary Diffusing Capacity
/ physiology
Pulmonary Disease, Chronic Obstructive
/ complications
Pulmonary Emphysema
/ diagnostic imaging
Respiratory Function Tests
Retrospective Studies
Severity of Illness Index
Tomography, X-Ray Computed
/ methods
COPD
Emphysema
Fractals
Lung
Survival
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
received:
17
01
2018
accepted:
18
05
2018
revised:
20
04
2018
pubmed:
1
7
2018
medline:
29
1
2019
entrez:
1
7
2018
Statut:
ppublish
Résumé
To investigate whether morphometric complexity in the lung can predict survival and act as a new prognostic marker in patients with chronic obstructive pulmonary disease (COPD). COPD (n = 302) patients were retrospectively reviewed. All patients underwent volumetric computed tomography and pulmonary function tests at enrollment (2005-2015). For complexity analysis, we applied power law exponent of the emphysema size distribution (D Patients were 66 ± 6 years old, had 41 ± 28 pack-years' smoking history and variable GOLD stages (n = 20, 153, 108 and 21 in stages I-IV). The median follow-up time was 6.1 years (range: 0.2-11.6 years). Sixty-three patients (20.9%) died, of whom 35 died of lung-related causes. In univariate Cox analysis, lower D Low morphometric complexity in the lung is a predictor of survival in patients with COPD. • A newly suggested method for quantifying lung morphometric complexity is feasible. • Morphometric complexity measured on chest CT images predicts COPD patients' survival. • Complexity, diffusing capacity and emphysema index contribute similarly to the survival model.
Identifiants
pubmed: 29959456
doi: 10.1007/s00330-018-5551-7
pii: 10.1007/s00330-018-5551-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
176-185Subventions
Organisme : National Research Foundation of Korea
ID : NRF-2016R1D1A1A02937317
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