Evidence map›Paper›PMID 29869171›Full record

ArticleEuropean radiology2018

An automated computed tomography score for the cystic fibrosis lung.

Guillaume Chassagnon, Clémence Martin, Pierre-Régis Burgel, Dominique Hubert, Isabelle Fajac, Nikos Paragios, Evangelia I Zacharaki, Paul Legmann, Joel Coste, Marie-Pierre Revel

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

10 authors at 2 institutions in 1 country.

Guillaume ChassagnonRadiology Department, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France. gchassagnon@gmail.com.ORCID http://orcid.org/0000-0003-1487-7922
Clémence MartinPulmonary Department and Adult CF Centre, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Pierre-Régis BurgelPulmonary Department and Adult CF Centre, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Dominique HubertPulmonary Department and Adult CF Centre, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Isabelle FajacPhysiology Department, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Nikos ParagiosCentre for Visual Computing, Ecole Centrale Paris, Grande Voie des Vignes, 92290, Chatenay Malabry, France.
Evangelia I ZacharakiCentre for Visual Computing, Ecole Centrale Paris, Grande Voie des Vignes, 92290, Chatenay Malabry, France.
Paul LegmannRadiology Department, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Joel CosteBiostatistics and Epidemiology Department, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Marie-Pierre RevelRadiology Department, Groupe Hospitalier Cochin-Hotel Dieu, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Université Paris Cité · FRÉcole Centrale Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop an automated density-based computed tomography (CT) score evaluating high-attenuating lung structural abnormalities in patients with cystic fibrosis (CF).

methodsSeventy adult CF patients were evaluated. The development cohort comprised 17 patients treated with ivacaftor, with 45 pre-therapeutic and follow-up chest CT scans. Another cohort of 53 patients not treated with ivacaftor was used for validation. CT-density scores were calculated using fixed and adapted thresholds based on histogram characteristics, such as the mode and standard deviation. Visual CF-CT score was also calculated. Correlations between the CT scores and forced expiratory volume in 1 s (FEV

resultsOn cross-sectional evaluation, the correlation coefficients between FEV

conclusionsThe developed CT-density score reliably quantifies high-attenuating lung structural abnormalities in CF. KEY POINTS: • Automated CT score shows moderate to good cross-sectional correlations with FEV

Indexed as

AdultAminophenolsChloride Channel AgonistsCross-Sectional StudiesCystic FibrosisFemaleForced Expiratory VolumeHumansLungMaleObserver VariationQuinolonesReproducibility of ResultsRespiratory Function TestsRetrospective StudiesTomography, Spiral ComputedAminophenolsChloride Channel AgonistsivacaftorQuinolonesCystic fibrosisForced expiratory volumeImage processing computer-assistedScoring methodsTomography spiral computed

Identifiers

PMID29869171
OpenAlexW2806215890

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.