Evidence map›Paper›PMID 28523349›Full record

ArticleEuropean radiology2017

Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: Objective airway-artery quantification.

Wieying Kuo, Marleen de Bruijne, Jens Petersen, Kazem Nasserinejad, Hadiye Ozturk, Yong Chen, Adria Perez-Rovira, Harm A W M Tiddens

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Detail-sensitive 3D-UNet for pulmonary airway segmentation from CT images.Medical & biological engineering & computing · 2024
    Article
  9. Article
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  11. Review
  12. 3D airway geometry analysis of factors in airway navigation failure for lung nodules.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  13. Pulmonary Vascular Dysfunctions in Cystic Fibrosis.Physiology (Bethesda, Md.) · 2024
    Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
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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

8 authors at 5 institutions in 3 countries.

Wieying KuoDepartment of Pediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
Marleen de BruijneBiomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands.
Jens PetersenDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Kazem NasserinejadHOVON Data Center, Clinical Trial Center, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Hadiye OzturkDepartment of Pediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
Yong ChenDepartment of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China.
Adria Perez-RoviraDepartment of Pediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
Harm A W M TiddensDepartment of Pediatric Pulmonology and Allergology, Erasmus MC - Sophia Children's Hospital, Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands. h.tiddens@erasmusmc.nl.
Erasmus MC - Sophia Children’s Hospital · NLErasmus University Rotterdam · NLUniversity of Copenhagen · DKErasmus MC Cancer Institute · NLNingxia Medical University General Hospital · CN

Funding

Danish Council for Independent Research 4093-00313BNederlandse Organisatie voor Wetenschappelijk Onderzoek 639.022.010Sophia Stichting Wetenschappelijk Onderzoek 679
6 · The paper itself

Abstract

objectivesTo quantify airway and artery (AA)-dimensions in cystic fibrosis (CF) and control patients for objective CT diagnosis of bronchiectasis and airway wall thickness (AWT).

methodsSpirometer-guided inspiratory and expiratory CTs of 11 CF and 12 control patients were collected retrospectively. Airway pathways were annotated semi-automatically to reconstruct three-dimensional bronchial trees. All visible AA-pairs were measured perpendicular to the airway axis. Inner, outer and AWT (outer-inner) diameter were divided by the adjacent artery diameter to compute A

resultsDemographics did not differ significantly between cohorts. Mean AA-pairs CF: 299 inspiratory; 82 expiratory. CONTROLS: 131 inspiratory; 58 expiratory. All ratios were significantly larger in inspiratory compared to expiratory CTs for both groups (p<0.001). A

conclusionDiagnosis of bronchiectasis is highly dependent on lung volume and more reliably diagnosed using outer airway diameter. Difference in bronchiectasis and AWT severity between the two cohorts increased with each airway generation. KEY POINTS: • More peripheral airways are visible in CF patients compared to controls. • Structural lung changes in CF patients are greater with each airway generation. • Number of airways visualized on CT could quantify CF lung disease. • For objective airway disease quantification on CT, lung volume standardization is required.

Indexed as

AdolescentBronchiBronchiectasisChildCystic FibrosisExhalationFemaleHumansLungMaleObserver VariationPulmonary ArteryRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSpirometryTomography, X-Ray ComputedAirway dimensionsBronchiectasisCystic fibrosisImaging/CTPaediatric lung disease

Identifiers

PMID28523349
PMCPMC5635089
OpenAlexW2614210011

What OpenQuestion holds

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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.