Evidence map›Paper›PMID 32025831›Full record

ArticleEuropean radiology2020

Airway tapering: an objective image biomarker for bronchiectasis.

Wieying Kuo, Adria Perez-Rovira, Harm Tiddens, Marleen de Bruijne, Normal Chest CT study group

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Airway tapering in COPD.The European respiratory journal · 2024
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. The radiological diagnosis of bronchiectasis: what's in a name?European respiratory review : an official journal of the European Respiratory Society · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Wieying KuoDepartment of Paediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands.
Adria Perez-RoviraDepartment of Paediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands.
Harm TiddensDepartment of Paediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands.
Marleen de BruijneBiomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, room NA-2611, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. marleen.debruijne@erasmusmc.nl.ORCID http://orcid.org/0000-0002-6328-902X
Normal Chest CT study group
Erasmus MC · NLErasmus MC - Sophia Children’s Hospital · NLUniversity of Copenhagen · DK

Funding

Danish Council for Independent Research (DFF) 4093-00313BNederlandse cystic fibrosis stichting -Netherlands Organisation for Scientific Research (NWO) 639.022.010Steun door Zeevaart (SSWO) 679
6 · The paper itself

Abstract

purposeTo estimate airway tapering in control subjects and to assess the usability of tapering as a bronchiectasis biomarker in paediatric populations.

methodsAirway tapering values were semi-automatically quantified in 156 children with control CTs collected in the Normal Chest CT Study Group. Airway tapering as a biomarker for bronchiectasis was assessed on spirometer-guided inspiratory CTs from 12 patients with bronchiectasis and 12 age- and sex-matched controls. Semi-automatic image analysis software was used to quantify intra-branch tapering (reduction in airway diameter along the branch), inter-branch tapering (reduction in airway diameter before and after bifurcation) and airway-artery ratios on chest CTs. Biomarkers were further stratified in small, medium and large airways based on three equal groups of the accompanying vessel size.

resultsControl subjects showed intra-branch tapering of 1% and inter-branch tapering of 24-39%. Subjects with bronchiectasis showed significantly reduced intra-branch of 0.8% and inter-branch tapering of 19-32% and increased airway-artery ratios compared with controls (p < 0.01). Tapering measurements were significantly different between diseased and controls across all airway sizes. Difference in airway-artery ratio was only significant in small airways.

conclusionPaediatric normal values for airway tapering were established in control subjects. Tapering showed to be a promising biomarker for bronchiectasis as subjects with bronchiectasis show significantly less airway tapering across all airway sizes compared with controls. Detecting less tapering in larger airways could potentially lead to earlier diagnosis of bronchiectasis. Additionally, compared with the conventional airway-artery ratio, this novel biomarker has the advantage that it does not require pairing with pulmonary arteries. KEY POINTS: • Tapering is a promising objective image biomarker for bronchiectasis that can be extracted semi-automatically and has good correlation with validated visual scoring methods. • Less airway tapering was observed in patients with bronchiectasis and can be observed sensitively throughout the bronchial tree, even in the more central airways. • Tapering values seemed to be less influenced by variety in scanning protocols and lung volume making it a more robust biomarker for bronchiectasis detection.

Indexed as

AdolescentBiomarkersBronchiBronchiectasisCase-Control StudiesChildCystic FibrosisFemaleHumansLungMalePulmonary ArterySpirometryTomography, X-Ray ComputedBiomarkersBronchiBronchiectasisImage interpretation computer-assistedImaging three-dimensionalMultidetector computed tomography

Identifiers

PMID32025831
PMCPMC7160094
OpenAlexW3004907744

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.