Evidence map›Paper›PMID 28100929›Full record

ArticleRadiologia brasileira

Quantitative computed tomography analysis of the airways in patients with cystic fibrosis using automated software: correlation with spirometry in the evaluation of severity.

Marcel Koenigkam Santos, Danilo Lemos Cruvinel, Marcelo Bezerra de Menezes, Sara Reis Teixeira, Elcio de Oliveira Vianna, Jorge Elias Júnior, José Antonio Baddini Martinez

Erratum issuedAbstract read
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In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Marcel Koenigkam SantosPhD, MD, Radiologist, Collaborating Professor at the Center for Imaging Sciences and Medical Physics of the Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (HCFMRP-USP), Ribeirão Preto, SP, Brazil.
Danilo Lemos CruvinelMD, Radiology Specialist at the Center for Imaging Sciences and Medical Physics of the Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (HCFMRP-USP), Ribeirão Preto, SP, Brazil.
Marcelo Bezerra de MenezesPhD, MD, Attending Pulmonologist in the Pulmonology Sector of the Department of Clinical Medicine of the Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil.
Sara Reis TeixeiraPhD, MD, Attending Radiologist at the Center for Imaging Sciences and Medical Physics of the Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (HCFMRP-USP), Ribeirão Preto, SP, Brazil.
Elcio de Oliveira ViannaPhD, MD, Pulmonologist, Professor in the Pulmonology Sector of the Department of Clinical Medicine of the Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil.
Jorge Elias JúniorPhD, MD, Radiologist, Professor at the Center for Imaging Sciences and Medical Physics of the Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (HCFMRP-USP), Ribeirão Preto, SP, Brazil.
José Antonio Baddini MartinezPhD, MD, Pulmonologist, Professor in the Pulmonology Sector of the Department of Clinical Medicine of the Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo perform a quantitative analysis of the airways using automated software, in computed tomography images of patients with cystic fibrosis, correlating the results with spirometric findings. MATERIALS AND

methodsThirty-four patients with cystic fibrosis were studied-20 males and 14 females; mean age 18 ± 9 years-divided into two groups according to the spirometry findings: group I (

resultsOn average, 52 bronchi per patient were studied. The number of bronchi analyzed was higher in group II. The correlation with spirometry findings, especially between the relative wall thickness of third to eighth bronchial generation and predicted FEV1, was better in group I.

conclusionQuantitative analysis of the airways by computed tomography can be useful for assessing disease severity in cystic fibrosis patients. In patients with severe airflow obstruction, the number of bronchi studied by the method is higher, indicating more bronchiectasis. In patients without severe obstruction, the relative bronchial wall thickness showed a good correlation with the predicted FEV1.

Indexed as

Airway remodeling/physiologyCystic fibrosisTomography, X-ray computed

Identifiers

PMID28100929
PMCPMC5238409

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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.