Evidence map›Paper›PMID 28298729›Full record

ArticleRadiologia brasileira

Radiologist agreement on the quantification of bronchiectasis by high-resolution computed tomography.

Milene Carneiro Barbosa de Brito, Maurício Kenji Ota, Fernando Sergio Studart Leitão Filho, Gustavo de Souza Portes Meirelles

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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 8 papers.

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8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The radiological diagnosis of bronchiectasis: what's in a name?European respiratory review : an official journal of the European Respiratory Society · 2020
    Review
  5. Interobserver variability in high-resolution CT of the lungs.European journal of radiology open · 2020
    Article
  6. Ratio of the Bronchial Lumen to Pulmonary Artery Diameter in Rhesus Macaques (Journal of the American Association for Laboratory Animal Science : JAALAS · 2019
    Article
  7. Review
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Milene Carneiro Barbosa de BritoMD, MSc, Radiologist at the Clínica da Imagem do Tocantins, Araguaína, TO, Brazil.
Maurício Kenji OtaMD, Radiologist for the Fundação Instituto de Pesquisa e Estudos de Diagnóstico por Imagem (FIDI), São Paulo, SP, Brazil.
Fernando Sergio Studart Leitão FilhoPhD, Professor of Medicine at the Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil.
Gustavo de Souza Portes MeirellesPhD, Coordinator of the Thoracic Imaging Team of the Grupo Fleury, São Paulo, SP, Professor and Advisor for the Graduate Course in Clinical Radiology at the Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate radiologist agreement on the quantification of bronchiectasis by high-resolution computed tomography (HRCT). MATERIALS AND

methodsThe HRCT scans of 43 patients with bronchiectasis were analyzed by two radiologists, who used a scoring system to grade the findings. Kappa (κ) values and overall agreement were calculated.

resultsFor the measurement and appearance of bronchiectasis, the interobserver agreement was moderate (κ = 0.45 and κ = 0.43, respectively), as was the intraobserver agreement (κ = 0.54 and κ = 0.47, respectively). Agreement on the presence of mucous plugging was fair, for central distribution (overall interobserver agreement of 68.3% and κ = 0.39 for intraobserver agreement) and for peripheral distribution (κ = 0.34 and κ = 0.35 for interobserver and intraobserver agreement, respectively). The agreement was also fair for peribronchial thickening (κ = 0.21 and κ = 0.30 for interobserver and intraobserver agreement, respectively). There was fair interobserver and intraobserver agreement on the detection of opacities (κ = 0.39 and 71.9%, respectively), ground-glass attenuation (64.3% and κ = 0.24, respectively), and cysts/bullae (κ = 0.47 and κ = 0.44, respectively). Qualitative analysis of the HRCT findings of bronchiectasis and the resulting individual patient scores showed that there was an excellent correlation between the observers (intraclass correlation coefficient of 0.85 and 0.81 for interobserver and intraobserver agreement, respectively).

conclusionIn the interpretation of HRCT findings of bronchiectasis, radiologist agreement appears to be fair. In our final analysis of the findings using the proposed score, we observed excellent interobserver and intraobserver agreement.

Indexed as

BronchiectasisLungObserver variationTomography, X-ray computed

Identifiers

PMID28298729
PMCPMC5347500

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