Evidence map›Paper›PMID 30349236›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

Validation of lung density indices by cardiac CT for quantification of lung emphysema.

Andreas Ronit, Thomas Kristensen, Yunus Çolak, Jørgen Tobias Kühl, Anna Kalhauge, Peter Lange, Børge G Nordestgaard, Jørgen Vestbo, Susanne D Nielsen, Klaus F Kofoed

Open access · goldAbstract readValidation Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Andreas RonitDepartment of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark, andreas.ronit@regionh.dk.
Thomas KristensenDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Yunus ÇolakDepartment of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.
Jørgen Tobias KühlDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Anna KalhaugeDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Peter LangeDepartment of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark.
Børge G NordestgaardDepartment of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.
Jørgen VestboDivision of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK.
Susanne D NielsenDepartment of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark, andreas.ronit@regionh.dk.
Klaus F KofoedDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DKUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCardiovascular disease is often associated with COPD. Lung density quantification of images obtained from cardiac computed tomography (CT) scans would allow simultaneous evaluation of emphysema and coronary artery calcification score and provide further mechanistic insight into the relationship between these syndromes. PATIENTS AND

methodsWe assessed the agreement between lung density indices obtained by cardiac and full-lung CT scans. Paired cardiac and chest CT scans were assessed in 156 individuals with and without airflow limitation. Quantitative threshold indices of low attenuation area (LAA) and 15th percentile density index (PD15) were compared in terms of precision using Spearman's correlation coefficient, accuracy using concordance correlation coefficient (CCC), and relative accuracy using P15 and P30. We also assessed the relationship between visually and quantitatively determined emphysema and used receiver operating characteristic curves to evaluate the ability of lung density indices to discriminate airflow limitation.

resultsCorrelation coefficients between lung density indices obtained from cardiac and chest CT scans were 0.49 for percent LAA (%LAA)-950 and 0.71 for PD15. Corresponding values for CCC, P15, and P30 were 0.33, 3.2, and 5.1, respectively, for %LAA-950, and 0.34, 17.3, and 37.8, respectively, for PD15. For both cardiac and chest CT scans, visually determined emphysema was associated with higher %LAA-950 and lower PD15, and the ability of %LAA-950 and PD15 to discriminate airflow limitation were comparable.

conclusionAlthough chest CT imaging is preferable, cardiac CT imaging may also be used for lung emphysema quantification where association measures are of primary interest.

Indexed as

Coronary Artery DiseaseLungPulmonary Disease, Chronic ObstructiveCardiac Imaging TechniquesComorbidityCoronary VesselsCorrelation of DataDenmarkHumansMaleMiddle AgedPulmonary EmphysemaReproducibility of ResultsSpecific GravityTomography, X-Ray ComputedVascular Calcificationagreementcardiac CTchest CTchronic obstructive pulmonary diseaseemphysemalung density

Identifiers

PMID30349236
PMCPMC6188118
OpenAlexW2896237289

What OpenQuestion holds

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LicenceCC BY-NC
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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.