Evidence map›Paper›PMID 32923035›Full record

ArticleBiomedical optics express2020

Emphysema quantified: mapping regional airway dimensions using 2D phase contrast X-ray imaging.

Marcus J Kitchen, Genevieve A Buckley, Lauren T Kerr, Katie L Lee, Kentaro Uesugi, Naoto Yagi, Stuart B Hooper

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 at 3 institutions in 2 countries.

Marcus J KitchenSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.ORCID https://orcid.org/0000-0002-0029-6660
Genevieve A BuckleySchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.ORCID https://orcid.org/0000-0003-2763-492X
Lauren T KerrSPring-8/JASRI, Sayo, Hyogo 679-5198, Japan.
Katie L LeeSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.
Kentaro UesugiThe Ritchie Centre, MIMR-PHI Institute of Medical Research and the Department of Obstetrics and Gynaecology, Monash University, Clayton, Victoria, 3168, Australia.
Naoto YagiThe Ritchie Centre, MIMR-PHI Institute of Medical Research and the Department of Obstetrics and Gynaecology, Monash University, Clayton, Victoria, 3168, Australia.
Stuart B HooperSPring-8/JASRI, Sayo, Hyogo 679-5198, Japan.
Monash University · AUMonash Institute of Medical Research · AUSPring-8 · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed an analyser-based phase contrast X-ray imaging technique to measure the mean length scale of pores or particles that cannot be resolved directly by the system. By combining attenuation, phase and ultra-small angle X-ray scattering information, the technique was capable of measuring differences in airway dimension between lungs of healthy mice and those with mild and severe emphysema. Our measurements of airway dimensions from 2D images showed a 1:1 relationship to the actual airway dimensions measured using micro-CT. Using 80 images, the sensitivity and specificity were measured to be 0.80 and 0.89, respectively, with the area under the ROC curve close to ideal at 0.96. Reducing the number of images to 11 slightly decreased the sensitivity to 0.75 and the ROC curve area to 0.90, whilst the specificity remained high at 0.89.

Identifiers

PMID32923035
PMCPMC7449757
OpenAlexW3033721039

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.