Evidence map›Paper›PMID 33778637›Full record

ArticleRadiology. Cardiothoracic imaging2020

Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.

Guillaume Chassagnon, Evangelia I Zacharaki, Sébastien Bommart, Pierre-Régis Burgel, Raphael Chiron, Séverine Dangeard, Nikos Paragios, Clémence Martin, Marie-Pierre Revel

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Guillaume ChassagnonDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).ORCID 0000-0003-1487-7922
Evangelia I ZacharakiDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).ORCID 0000-0001-8228-0437
Sébastien BommartDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).
Pierre-Régis BurgelDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).ORCID 0000-0003-0903-9828
Raphael ChironDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).
Séverine DangeardDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).ORCID 0000-0002-6503-7336
Nikos ParagiosDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).ORCID 0000-0002-9668-4763
Clémence MartinDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).
Marie-Pierre RevelDepartment of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop radiomics-based CT scores for assessing lung disease severity and exacerbation risk in adult patients with cystic fibrosis (CF). MATERIALS AND

methodsThis two-center retrospective observational study was approved by an institutional ethics committee, and the need for patient consent was waived. A total of 215 outpatients with CF referred for unenhanced follow-up chest CT were evaluated in two different centers between January 2013 and December 2016. After lung segmentation, chest CT scans from center 1 (training cohort, 162 patients [median age, 29 years; interquartile range {IQR}, 24-36 years; 84 men]) were used to build CT scores from 38 extracted CT features, using five different machine learning techniques trained to predict a clinical prognostic score, the Nkam score. The correlations between the developed CT scores, two different clinical prognostic scores (Liou and CF-ABLE), forced expiratory volume in 1 second (FEV

resultsIn the test cohort, all radiomics-based CT scores showed moderate to strong correlation with the Nkam score (

conclusionRadiomics can be used to build automated CT scores that correlate to clinical severity and exacerbation risk in adult patients with CF.Supplemental material is available for this article.See also the commentary by Elicker and Sohn in this issue.© RSNA, 2020.

Identifiers

PMID33778637
PMCPMC7977785
OpenAlexW3111166619

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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.