About: Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

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About: Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) Goto Sponge NotDistinct Permalink

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scientific article published on 18 September 2018

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у вересні 2018 (uk) article scientifique publié en 2018 (fr) im September 2018 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu en setiembre de 2018 (ast) scientific article published on 18 September 2018 (en)
publication date	wds:Q58725160-0EF0CA86-1858-4DF1-9BE7-BB9438810863
publication date	2018-09-18 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q58725160-42E974B5-2AFF-4551-911F-85A839B093FB
language of work or name	English
exact match	wds:Q58725160-1F20340C-60A9-4FB7-9F82-40D4E13A957C
exact match	https://scigraph.springernature.com/pub.10.1186/s12931-018-0888-7
cites work	wds:Q58725160-0063397B-E0DB-464C-BF5F-A6BA3C38AE3A wds:Q58725160-0FEE308F-24E6-4D87-B352-981607650AAB wds:Q58725160-12D530F1-EE6A-4FD5-A45A-2A531A680F54 wds:Q58725160-13874CDF-2220-4045-9169-E088A67327F6 wds:Q58725160-2237DB90-BFBE-44C7-9C53-0D9559BC6989 wds:Q58725160-266EC0E0-7AA7-4A3E-8E75-FE319B5615D1 wds:Q58725160-2877581E-6659-4789-B229-CE75FBF1A90C wds:Q58725160-3BBEA235-8918-452B-8998-A345B6739175 wds:Q58725160-4C1AFFED-F05E-4474-868C-39593F20E4B7 wds:Q58725160-6943F876-5D6C-4EA0-85E0-35E6D50E4F42 wds:Q58725160-6C51D95A-5D96-434F-BBE0-246D36891202 wds:Q58725160-6D841C15-86B6-4F9A-9153-736333C54877 wds:Q58725160-7E5BA385-42D0-4A91-A35D-E0CF5312D1CF wds:Q58725160-7FB7FA9E-FC5A-4AEC-BFD8-6ADB4041D2CC wds:Q58725160-834FD8DF-7487-4C2F-ACAF-9DE5066FD93F wds:Q58725160-9E71B0DF-A857-47D9-8296-FBD20097C4B4 wds:Q58725160-BB893964-D86E-4783-ABD6-25E3058149BC wds:Q58725160-BBBD850C-FA87-40D9-884E-9922A590A33A wds:Q58725160-BCDB1EFF-296C-49D2-9F71-2E7272026E99 wds:Q58725160-C7166F52-E1E1-479B-B693-8A0B9D2685F4 wds:Q58725160-C7E7FEE9-27F5-463D-A278-D7FB83E82E80 wds:Q58725160-C848A3DF-B862-4BA2-911A-54BC184BF7FC wds:Q58725160-C939A17A-BA80-4A11-BD4B-41A23A3DCEDC wds:Q58725160-E654A777-1DC1-46BE-823D-637F4EE9B67A wds:Q58725160-E6EB4B13-4315-4475-81DF-B80C7AE7C5EE wds:Q58725160-E7F3AC81-F03F-4BE6-AC8B-7987052C5B6F wds:Q58725160-EC0E6A51-A7D3-48A0-B6F4-66F26906E387
cites work	Rapid fall in lung density following smoking cessation in COPD. Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes The emphysematous and bronchial types of chronic airways obstruction. A clinicopathological study of patients in London and Chicago Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program Clinical COPD phenotypes: a novel approach using principal component and cluster analyses Design of the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS). Obesity, adipokines, and lung disease Chronic obstructive pulmonary disease phenotypes: the future of COPD. Cluster Analysis in Patients with GOLD 1 Chronic Obstructive Pulmonary Disease Pulmonary CT and MRI phenotypes that help explain chronic pulmonary obstruction disease pathophysiology and outcomes. Mass preserving nonrigid registration of CT lung images using cubic B-spline. Epidemiology, genetics, and subtyping of preserved ratio impaired spirometry (PRISm) in COPDGene Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease Assessment of regional non-linear tissue deformation and air volume change of human lungs via image registration Clinical COPD phenotypes identified by cluster analysis: validation with mortality Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes. Cluster analysis in severe emphysema subjects using phenotype and genotype data: an exploratory investigation Quantitative assessment of multiscale structural and functional alterations in asthmatic populations SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs. Three-dimensional characterization of regional lung deformation. Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function Improved CT-based estimate of pulmonary gas trapping accounting for scanner and lung-volume variations in a multicenter asthmatic study Explorative data analysis techniques and unsupervised clustering methods to support clinical assessment of Chronic Obstructive Pulmonary Disease (COPD) phenotypes Do COPD subtypes really exist? COPD heterogeneity and clustering in 10 independent cohorts A GPU-based symmetric non-rigid image registration method in human lung.
author name string	wds:Q58725160-D3D1E93C-6F54-444C-9724-0B8E8F49ED43
author name string	John D Newell
rdfs:label	Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (nl) Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) (en)
skos:prefLabel	Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (nl) Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) (en)
name	Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (nl) Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) (en)
author	wds:Q58725160-121D744B-88FE-4A31-8A30-DD67548F67E2 wds:Q58725160-13916BD1-DB37-4EA9-A537-8CD68A4D496D wds:Q58725160-398594EA-C5CF-41C9-81D4-51ADC85F0257 wds:Q58725160-419925B6-6A3C-4FCA-B521-1AC2DF41AE54 wds:Q58725160-446E8C29-DE73-4473-956C-FE2426DBC114 wds:Q58725160-4E590314-7CB3-40C9-8B46-DD29B5A9E6C8 wds:Q58725160-510E0A6B-F5B8-4B80-A056-E7DC88680EED wds:Q58725160-64205642-887D-49ED-B365-CF994EDCD88F wds:Q58725160-653168FF-61DE-4845-9F9B-11C7BAA2468B wds:Q58725160-7338423F-DF9C-4E55-90E4-95017E44FA5D wds:Q58725160-73D12227-1F71-4EF0-9B05-4E4E8B9FA517 wds:Q58725160-7DA437EC-5CA7-4B91-86E0-3AB749C3C1C6 wds:Q58725160-80929100-6FFE-4432-B8FE-82565FC7AFA7 wds:Q58725160-AE1D012F-FB11-45D2-BB00-049FD3419EC7 wds:Q58725160-AFC57090-2F96-4644-938F-5FE61AD4AD23 wds:Q58725160-B9CA9634-C6AF-4B77-995E-8BDD898A322E wds:Q58725160-CBD46309-F53B-454D-ACC9-75A9C191ED76 wds:Q58725160-D6F9C6EA-4340-4CE5-95A9-0C1E689AE294 wds:Q58725160-FE2737D2-1AFE-43B7-B7E8-4F705D2CDD5F
author	R. Graham Barr Stephen I Rennard Eugene R Bleecker Prescott G. Woodruff Wanda K. O’Neal Ching-Long Lin

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