Evidence map›Paper›PMID 39655177›Full record

ArticleERJ open research2024

Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population.

Angelina L P Pieters, Qianting Lv, Jennifer J Meerburg, Tjeerd van der Veer, Eleni-Rosalina Andrinopoulou, Pierluigi Ciet, James D Chalmers, Michael R Loebinger, Charles S Haworth, J Stuart Elborn and 1 more

Abstract read
In one paragraph

Article in ERJ open research, 2024. 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
–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

6 citing papers in PubMed.

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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

11 authors.

Angelina L P PietersErasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands.
Qianting LvErasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands.
Jennifer J MeerburgErasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands.
Tjeerd van der VeerErasmus MC, University Medical Center Rotterdam, Department of Respiratory Medicine, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-3085-603X
Eleni-Rosalina AndrinopoulouErasmus MC, University Medical Center Rotterdam, Department of Biostatistics. Department of Epidemiology, Rotterdam, The Netherlands.
Pierluigi CietErasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4017-8957
James D ChalmersCollege of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Michael R LoebingerHost Defence Unit, Royal Brompton Hospital, London, UK.
Charles S HaworthCambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK.
J Stuart ElbornSchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Harm A W M TiddensErasmus MC, University Medical Center Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5628-6667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Bronchiectasis (BE) is a disease defined by irreversible dilatation of the airway. Computed tomography (CT) plays an important role in the detection and quantification of BE. The aim of this study was three-fold: 1) to assess bronchus-artery (BA) dimensions using fully automated software in a cohort of BE disease patients; 2) to compare BA dimensions with semi-quantitative BEST-CT (Bronchiectasis Scoring Technique for CT) scores for BE and bronchial wall thickening; and 3) to explore the structure-function relationship between BA-method lumen dimensions and spirometry outcomes. Methods: Baseline CTs of BE patients who participated in a clinical trial were collected retrospectively. CTs were analysed manually with the BEST-CT scoring system and automatically using LungQ (v.2.1.0.1, Thirona, The Netherlands), which measures the following BA dimensions: diameters of bronchial outer wall (B Results: In total, 65 patients and 16 900 BA pairs were analysed by the automated BA method. The median (range) percentage of BA pairs defined as widened was 69 (55-84)% per CT using a cut-off value of 1.5 for B Conclusion: The automated BA method, which is an accurate and sensitive tool, demonstrates a stronger correlation between visual and automated assessment and lung function when using a higher cut-off value to define bronchiectasis.

Identifiers

PMID39655177
PMCPMC11626611

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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.