Evidence map›Paper›PMID 23064488›Full record

ArticleLung2012

Early identification of small airways disease on lung cancer screening CT: comparison of current air trapping measures.

Onno M Mets, Pieter Zanen, Jan-Willem J Lammers, Ivana Isgum, Hester A Gietema, Bram van Ginneken, Mathias Prokop, Pim A de Jong

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Lung, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Signs of Gas Trapping in Normal Lung Density Regions in Smokers.American journal of respiratory and critical care medicine · 2017
    Article
  12. Review
  13. Article
  14. Article
  15. Smokers with emphysema and small airway disease on computed tomography have lower bone density.International journal of chronic obstructive pulmonary disease · 2016
    Article
  16. Article
  17. [Diseases of the airways].Der Radiologe · 2014
    Article
  18. Article
  19. Review
  20. 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

8 authors at 3 institutions in 1 country.

Onno M MetsDepartment of Radiology, University Medical Centre Utrecht, Heidelberglaan 100, HP E01.132, Postbus 85500, 3508 GA, Utrecht, The Netherlands. metsonno@gmail.com
Pieter Zanen
Jan-Willem J Lammers
Ivana Isgum
Hester A Gietema
Bram van Ginneken
Mathias Prokop
Pim A de Jong
University Medical Center Utrecht · NLRadboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer screening CT scans might provide valuable information about air trapping as an early indicator of smoking-related lung disease. We studied which of the currently suggested measures is most suitable for detecting functionally relevant air trapping on low-dose computed tomography (CT) in a population of subjects with early-stage disease.

methodsThis study was ethically approved and informed consent was obtained. Three quantitative CT air trapping measures were compared against a functional reference standard in 427 male lung cancer screening participants. This reference standard for air trapping was derived from the residual volume over total lung capacity ratio (RV/TLC) beyond the 95th percentile of predicted. The following CT air trapping measures were compared: expiratory to inspiratory relative volume change of voxels with attenuation values between -860 and -950 Hounsfield Units (RVC(-860 to -950)), expiratory to inspiratory ratio of mean lung density (E/I-ratio(MLD)) and percentage of voxels below -856 HU in expiration (EXP(-856)). Receiver operating characteristic (ROC) analysis was performed and area under the ROC curve compared.

resultsFunctionally relevant air trapping was present in 38 (8.9 %) participants. E/I-ratio(MLD) showed the largest area under the curve (0.85, 95 % CI 0.813-0.883), which was significantly larger than RVC(-860 to -950) (0.703, 0.657-0.746; p < 0.001) and EXP(-856) (0.798, 0.757-0.835; p = 0.002). At the optimum for sensitivity and specificity, E/I-ratio(MLD) yielded an accuracy of 81.5 %.

conclusionsThe expiratory to inspiratory ratio of mean lung density (E/I-ratio(MLD)) is most suitable for detecting air trapping on low-dose screening CT and performs significantly better than other suggested quantitative measures.

Indexed as

Early Detection of CancerTomography, X-Ray ComputedAgedHumansLungLung NeoplasmsMaleMiddle AgedPulmonary EmphysemaRespiratory Function TestsSmoking

Identifiers

PMID23064488
OpenAlexW2067193460

What OpenQuestion holds

Textmetadata
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.