Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
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

176-185

Subventions

Organisme : National Research Foundation of Korea
ID : NRF-2016R1D1A1A02937317

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Auteurs

Jeongeun Hwang (J)

Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.

Yeon-Mok Oh (YM)

Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea.

Minho Lee (M)

Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic of Korea.

Seunghyun Choi (S)

Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea.

Joon Beom Seo (JB)

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea.

Sang Min Lee (SM)

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea. sangmin.lee.md@gmail.com.

Namkug Kim (N)

Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea. namkugkim@gmail.com.
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Seoul, 05505, Republic of Korea. namkugkim@gmail.com.

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