Evidence map›Paper›PMID 29019109›Full record

ArticleEJNMMI research2017

Automatic delineation of functional lung volumes with

Pierre-Yves Le Roux, Shankar Siva, Jason Callahan, Yannis Claudic, David Bourhis, Daniel P Steinfort, Rodney J Hicks, Michael S Hofman

Abstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Molecular imaging and biology · 2021
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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

8 authors.

Pierre-Yves Le RouxCancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia. pierre-yves.leroux@chu-brest.fr.ORCID http://orcid.org/0000-0002-8534-8203
Shankar SivaCancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
Jason CallahanCancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
Yannis ClaudicNuclear Medicine Department, Brest University Hospital, EA3878 (GETBO) IFR, 148, Brest, France.
David BourhisNuclear Medicine Department, Brest University Hospital, EA3878 (GETBO) IFR, 148, Brest, France.
Daniel P SteinfortRespiratory Medicine, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia.
Rodney J HicksCancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
Michael S HofmanCancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia. michaelhofman@petermac.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional volumes computed from

resultsFor ventilation volumes, mean volume difference was lowest (- 0.4%) using a 15%max threshold with Pearson's coefficient of 0.71. Applying this cutoff, median DSC was 0.93 (0.87-0.95). Nevertheless, limits of agreement in volume differences were large (- 31.0 and 30.2%) with differences ranging from - 40.4 to + 33.0%. For perfusion volumes, mean volume difference was lowest and Pearson's coefficient was highest using a 15%max threshold (3.3% and 0.81, respectively). Applying this cutoff, median DSC was 0.93 (0.88-0.93). Nevertheless, limits of agreement were again large (- 21.1 and 27.8%) with volume differences ranging from - 18.6 to + 35.5%. Using the 15%max threshold, moderate correlation was demonstrated with FEV1/FVC (r = 0.48 and r = 0.46 for ventilation and perfusion images, respectively). No correlation was found between other PFT indices.

conclusionsTo automatically delineate functional volumes with

Indexed as

DelineationGallium 68Regional lung functionV/Q PET/CT

Identifiers

PMID29019109
PMCPMC5634989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.