Literature DB >> 29857995

Systematic review of evidence for relationships between physiological and CT indices of small airways and clinical outcomes in COPD.

Kerry Gove1, Tom Wilkinson2, Sandy Jack2, Kristoffer Ostridge2, Bruce Thompson3, Joy Conway4.   

Abstract

BACKGROUND: Small airways disease (SAD) is considered pivotal in the pathology of COPD. There are numerous publications describing physiological and Computed Tomography (CT) imaging markers to detect SAD. However, there is no agreed gold standard and limited understanding of the clinical associations of these measures to disease outcomes.
METHODS: We conducted a systematic review using Embase, Medline and Pubmed to explore the relationship between physiological and CT SAD measures in COPD (GOLD Stages 1-4). Furthermore, evidence linking these physiological measures with defined clinical outcomes such as health status, functional assessment and exacerbation frequency were summarised.
RESULTS: The search yielded 1160 abstracts of which 19 met the search criteria. Six studies examined physiological and CT measures while 13 publications identified physiological measures and clinical outcomes. Strong correlations were seen between CT and physiological measures of SAD. Varying associations between physiological measures and defined clinical outcomes were noted.
CONCLUSIONS: Physiological and CT measures of SAD correlate and infer similar information. Physiological measures of SAD may offer valuable insight into clinical expression of the disease. A consensus on the standardisation and recommendation of tests to measure SAD is needed in order to better understand any clinical benefits of targeted drug therapy to the small airways.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  COPD; CT; Physiology; Small airways disease

Mesh:

Year:  2018        PMID: 29857995     DOI: 10.1016/j.rmed.2018.05.005

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  3 in total

1.  Discordant Spirometry and Impulse Oscillometry Assessments in the Diagnosis of Small Airway Dysfunction.

Authors:  Lifei Lu; Jieqi Peng; Ningning Zhao; Fan Wu; Heshen Tian; Huajing Yang; Zhishan Deng; Zihui Wang; Shan Xiao; Xiang Wen; Youlan Zheng; Cuiqiong Dai; Xiaohui Wu; Kunning Zhou; Pixin Ran; Yumin Zhou
Journal:  Front Physiol       Date:  2022-06-22       Impact factor: 4.755

2.  Creating a training set for artificial intelligence from initial segmentations of airways.

Authors:  Ivan Dudurych; Antonio Garcia-Uceda; Zaigham Saghir; Harm A W M Tiddens; Rozemarijn Vliegenthart; Marleen de Bruijne
Journal:  Eur Radiol Exp       Date:  2021-11-29

3.  Spirometry parameters used to define small airways obstruction in population-based studies: systematic review.

Authors:  Ben Knox-Brown; Octavia Mulhern; Johanna Feary; Andre F S Amaral
Journal:  Respir Res       Date:  2022-03-21
  3 in total

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