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Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis

Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f39e68227ff4ed4a2b18ca9aa8fcf2f

Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis

About this item

Full title

Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis

Publisher

London: BioMed Central Ltd

Journal title

Respiratory research, 2020-11, Vol.21 (1), p.1-295, Article 295

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background A new clinical guideline for idiopathic pulmonary fibrosis (IPF) uses high-resolution computed tomography (HRCT) patterns for diagnostic purposes. However, it is unknown how they relate to the IPF clinical course. We aimed to investigate whether HRCT patterns could be used to predict lung function changes and survival in patients with IP...

Alternative Titles

Full title

Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4f39e68227ff4ed4a2b18ca9aa8fcf2f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f39e68227ff4ed4a2b18ca9aa8fcf2f

Other Identifiers

ISSN

1465-993X,1465-9921

E-ISSN

1465-993X,1465-9921

DOI

10.1186/s12931-020-01562-2

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