Evidence map›Paper›PMID 31548977›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2019

Reproducibility of an airway tapering measurement in computed tomography with application to bronchiectasis.

Kin Quan, Ryutaro Tanno, Rebecca J Shipley, Jeremy S Brown, Joseph Jacob, John R Hurst, David J Hawkes

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Airway tapering in COPD.The European respiratory journal · 2024
    Article
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

7 authors.

Kin QuanUniversity College London, Center for Medical Image Computing, London, United Kingdom.ORCID https://orcid.org/0000-0003-0317-9598
Ryutaro TannoUniversity College London, Center for Medical Image Computing, London, United Kingdom.
Rebecca J ShipleyUniversity College London, Department of Mechanical Engineering, London, United Kingdom.ORCID https://orcid.org/0000-0002-2818-6228
Jeremy S BrownUniversity College London, UCL Respiratory, London, United Kingdom.
Joseph JacobUniversity College London, Center for Medical Image Computing, London, United Kingdom.ORCID https://orcid.org/0000-0002-8054-2293
John R HurstUniversity College London, UCL Respiratory, London, United Kingdom.
David J HawkesUniversity College London, Center for Medical Image Computing, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

We propose a pipeline to acquire a scalar tapering measurement from the carina to the most distal point of an individual airway visible on computed tomography (CT). We show the applicability of using tapering measurements on clinically acquired data by quantifying the reproducibility of the tapering measure. We generate a spline from the centerline of an airway to measure the area and arclength at contiguous intervals. The tapering measurement is the gradient of the linear regression between area in log space and arclength. The reproducibility of the measure was assessed by analyzing different radiation doses, voxel sizes, and reconstruction kernel on single timepoint and longitudinal CT scans and by evaluating the effect of airway bifurcations. Using 74 airways from 10 CT scans, we show a statistical difference,

Indexed as

airwayscomputed tomography (CT) simulationsCT metrologyreproducibilitytapering

Identifiers

PMID31548977
PMCPMC6745534

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.