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Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics:...

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics:...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a97e79d2f194a75b46c97855536bef6

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

About this item

Full title

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

Publisher

England: BioMed Central Ltd

Journal title

Respiratory research, 2019-07, Vol.20 (1), p.153-14, Article 153

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Quantitative computed tomographic (QCT) imaging-based metrics enable to quantify smoking induced disease alterations and to identify imaging-based clusters for current smokers. We aimed to derive clinically meaningful sub-groups of former smokers using dimensional reduction and clustering methods to develop a new way of COPD phenotyping.
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Alternative Titles

Full title

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9a97e79d2f194a75b46c97855536bef6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a97e79d2f194a75b46c97855536bef6

Other Identifiers

ISSN

1465-993X,1465-9921

E-ISSN

1465-993X

DOI

10.1186/s12931-019-1121-z

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