Evidence map›Paper›PMID 25938213›Full record

ArticleJournal of computer assisted tomography

Effect of Reducing Field of View on Multidetector Quantitative Computed Tomography Parameters of Airway Wall Thickness in Asthma.

Ajay Sheshadri, Alfonso Rodriguez, Ryan Chen, James Kozlowski, Dana Burgdorf, Tammy Koch, Jaime Tarsi, Rebecca Schutz, Brad Wilson, Kenneth Schechtman and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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  10. A novel micro-CT-based method to monitor the morphology of blood vessels in the rabbit endplate.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2017
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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

15 authors at 5 institutions in 1 country.

Ajay SheshadriFrom the *Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, MI; †Department of Medical Physics, University of Wisconsin-Madison, Madison, WI; ‡Department of Surgery, University of Louisville School of Medicine, Louisville, KY; §Division of Biostatistics, Washington University School of Medicine, St Louis, MI; ∥Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA; ¶Department of Radiology, University of Iowa College of Medicine, Iowa City, IA; and #Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MI.
Alfonso Rodriguez
Ryan Chen
James Kozlowski
Dana Burgdorf
Tammy Koch
Jaime Tarsi
Rebecca Schutz
Brad Wilson
Kenneth Schechtman
Joseph K Leader
Eric A Hoffman
Mario Castro
Sean B Fain
David S Gierada
Washington University in St. Louis · USUniversity of Wisconsin–Madison · USUniversity of Iowa · USUniversity of Louisville Hospital · USUniversity of Pittsburgh · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Tissue and Cell Processing CoreU19AI070489 · NIAID · WASHINGTON UNIVERSITY · PI HOLTZMAN, MICHAEL J · 2006 to 2016
$17.9M
PRINCIPLES IN PULMONARY RESEARCHT32HL007317 · NHLBI · WASHINGTON UNIVERSITY · PI Steven Brody, Michael J Holtzman · 1985 to 2026
$16.1M
Severe Asthma Research Program (SARP)-Washington UniversityU10HL109257 · NHLBI · WASHINGTON UNIVERSITY · PI CASTRO, MARIO · 2011 to 2016
$3.8M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1TR000448NHLBI NIH HHS T32 HL007317NHLBI NIH HHS T32HL007317-34NHLBI NIH HHS U10 HL109257NHLBI NIH HHS U10HL109257-01NIAID NIH HHS U19 AI070489NIDDK NIH HHS P30 DK054759NIEHS NIH HHS P30 ES005605PHS HHS U19 A1070489-08
6 · The paper itself

Abstract

objectiveWe reduced the computed tomography (CT)-reconstructed field of view (FOV), increasing pixel density across airway structures and reducing partial volume effects, to determine whether this would improve accuracy of airway wall thickness quantification.

methodsWe performed CT imaging on a lung phantom and 29 participants. Images were reconstructed at 30-, 15-, and 10-cm FOV using a medium-smooth kernel. Cross-sectional airway dimensions were compared at each FOV with repeated-measures analysis of variance.

resultsPhantom measurements were more accurate when FOV decreased from 30 to 15 cm (P < 0.05). Decreasing FOV further to 10 cm did not significantly improve accuracy. Human airway measurements similarly decreased by decreasing FOV (P < 0.001). Percent changes in all measurements when reducing FOV from 30 to 15 cm were less than 3%.

conclusionsAirway measurements at 30-cm FOV are near the limits of CT resolution using a medium-smooth kernel. Reducing reconstructed FOV would minimally increase sensitivity to detect differences in airway dimensions.

Indexed as

Multidetector Computed TomographyAdultAnalysis of VarianceAsthmaBody Weights and MeasuresFemaleHumansImage Processing, Computer-AssistedLungMaleMiddle AgedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityYoung Adult

Identifiers

PMID25938213
PMCPMC4504751
OpenAlexW2320361525

What OpenQuestion holds

Textmetadata
LicenceTDM
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.