Evidence map›Paper›PMID 27777473›Full record

ArticleRadiologia brasileira

Changes seen on computed tomography of the chest in mildly symptomatic adult patients with sickle cell disease.

Ursula David Alves, Agnaldo José Lopes, Maria Christina Paixão Maioli, Andrea Ribeiro Soares, Pedro Lopes de Melo, Roberto Mogami

Abstract read
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Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Relationship between ventilation heterogeneity and exercise intolerance in adults with sickle cell anemia.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    Article
  3. Article
  4. Article
  5. Article
4 · The record

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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

6 authors.

Ursula David AlvesMD, Radiologist at the Hospital Universitário Pedro Ernesto (HUPE), Student in the Graduate Program in Medical Sciences at the Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
Agnaldo José LopesPhD, Adjunct Professor of Pulmonology at the Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
Maria Christina Paixão MaioliPhD, Adjunct Professor of Hematology at the Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
Andrea Ribeiro SoaresPhD, Adjunct Professor of Hematology at the Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
Pedro Lopes de MeloPhD, Associate Professor, Head of the Biomedical Instrumentation Laboratory, Head of the Laboratory for Clinical and Experimental Research in Vascular Biology, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
Roberto MogamiPhD, Adjunct Professor of Radiology at the Universidade do Estado do Rio de Janeiro (UERJ), Head of the Radiology Department of the Hospital Universitário Pedro Ernesto (HUPE), Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe and quantify the main changes seen on computed tomography of the chest in mildly symptomatic adult patients with sickle cell disease, as well as to evaluate the radiologist accuracy in determining the type of hemoglobinopathy. MATERIALS AND

methodsA prospective study involving 44 adult patients with sickle cell disease who underwent inspiration and expiration computed tomography of the chest. The frequency of tomography findings and the extent of involvement are reported. We also calculated radiologist accuracy in determining the type of hemoglobinopathy by analyzing the pulmonary alterations and morphology of the spleen.

resultsThe changes found on computed tomography scans, in descending order of frequency, were as follows: fibrotic opacities (81.8%); mosaic attenuation (56.8%); architectural distortion (31.8%); cardiomegaly (25.0%); lobar volume reduction (18.2%); and increased caliber of peripheral pulmonary arteries (9.1%). For most of the findings, the involvement was considered mild, five or fewer lung segments being affected. The accuracy in determining the type of hemoglobinopathy (HbSS group versus not HbSS group) was 72.7%.

conclusionIn adult patients with sickle cell disease, the main tomography findings reflect fibrotic changes. In addition, computed tomography can be helpful in differentiating among hemoglobinopathies.

Indexed as

Anemia, sickle cellLung diseases/etiologyTomography, X-ray computed

Identifiers

PMID27777473
PMCPMC5073386

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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.