Evidence map›Paper›PMID 37505249›Full record

Observational studyEuropean radiology2023

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis.

Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos and 7 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Imaging technologies in experimental pulmonary fibrosis research: essential tool for enhanced translational relevance.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  10. Article
  11. Airway tapering in COPD.The European respiratory journal · 2024
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

Wing Keung CheungSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Ashkan PakzadSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Nesrin MogulkocDepartment of Respiratory Medicine, Ege University Hospital, Izmir, Turkey.
Sarah NeedlemanSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Bojidar RangelovSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Eyjolfur GudmundssonSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
An ZhaoSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Mariam AbbasDepartment of Computer Science, University College London, London, UK.
Davina McLavertyMedical School, University College London, London, UK.
Dimitrios AsimakopoulosSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.
Robert ChapmanInterstitial Lung Disease Service, Department of Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK.
Recep SavasDepartment of Radiology, Ege University Hospital, Izmir, Turkey.
Sam M JanesLungs for Living Research Centre, UCL, London, UK.
Yipeng HuSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
Daniel C AlexanderSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK.
John R HurstUCL Respiratory, University College London, London, UK.
Joseph JacobSatsuma Lab, Centre for Medical Image Computing, University College London, 1st Floor, 90 High Holborn, London, WC1V6LJ, UK. j.jacob@ucl.ac.uk.ORCID http://orcid.org/0000-0002-8054-2293
University College London · GBEge University · TRRoyal Free London NHS Foundation Trust · GBUCL Biomedical Research Centre · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity of Cambridge · GB

Funding

Wellcome Trust 209553Wellcome Trust 209553/Z/17/Z
6 · The paper itself

Abstract

objectivesThe study examined whether quantified airway metrics associate with mortality in idiopathic pulmonary fibrosis (IPF).

methodsIn an observational cohort study (n = 90) of IPF patients from Ege University Hospital, an airway analysis tool AirQuant calculated median airway intersegmental tapering and segmental tortuosity across the 2nd to 6th airway generations. Intersegmental tapering measures the difference in median diameter between adjacent airway segments. Tortuosity evaluates the ratio of measured segmental length against direct end-to-end segmental length. Univariable linear regression analyses examined relationships between AirQuant variables, clinical variables, and lung function tests. Univariable and multivariable Cox proportional hazards models estimated mortality risk with the latter adjusted for patient age, gender, smoking status, antifibrotic use, CT usual interstitial pneumonia (UIP) pattern, and either forced vital capacity (FVC) or diffusion capacity of carbon monoxide (DLco) if obtained within 3 months of the CT.

resultsNo significant collinearity existed between AirQuant variables and clinical or functional variables. On univariable Cox analyses, male gender, smoking history, no antifibrotic use, reduced DLco, reduced intersegmental tapering, and increased segmental tortuosity associated with increased risk of death. On multivariable Cox analyses (adjusted using FVC), intersegmental tapering (hazard ratio (HR) = 0.75, 95% CI = 0.66-0.85, p < 0.001) and segmental tortuosity (HR = 1.74, 95% CI = 1.22-2.47, p = 0.002) independently associated with mortality. Results were maintained with adjustment using DLco.

conclusionsAirQuant generated measures of intersegmental tapering and segmental tortuosity independently associate with mortality in IPF patients. Abnormalities in proximal airway generations, which are not typically considered to be abnormal in IPF, have prognostic value. CLINICAL RELEVANCE STATEMENT: Quantitative measurements of intersegmental tapering and segmental tortuosity, in proximal (second to sixth) generation airway segments, independently associate with mortality in IPF. Automated airway analysis can estimate disease severity, which in IPF is not restricted to the distal airway tree. KEY POINTS: • AirQuant generates measures of intersegmental tapering and segmental tortuosity. • Automated airway quantification associates with mortality in IPF independent of established measures of disease severity. • Automated airway analysis could be used to refine patient selection for therapeutic trials in IPF.

Indexed as

Idiopathic Pulmonary FibrosisTomography, X-Ray ComputedCohort StudiesHumansInfantLungMalePrognosisVital CapacityIdiopathic pulmonary fibrosisLungMortality

Identifiers

PMID37505249
PMCPMC10598186
OpenAlexW4385330665

What OpenQuestion holds

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LicenceCC BY
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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.