Evidence map›Paper›PMID 32160310›Full record

ArticleMedical physics2020

Inter- and intra-software reproducibility of computed tomography lung density measurements.

Miranda Kirby, Charles Hatt, Nancy Obuchowski, Stephen M Humphries, Jered Sieren, David A Lynch, Sean B Fain, QIBA Lung Density Committee

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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.

Miranda KirbyDepartment of Physics, Ryerson University, Toronto, ON, Canada.
Charles HattIMBIO, Minneapolis, MN, USA.
Nancy ObuchowskiDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Stephen M HumphriesDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Jered SierenVIDA Diagnostics Inc., Coralville, IA, USA.
David A LynchDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Sean B FainDeparment of Medical Physics, University of Wisconsin, Madison, WI, USA.
QIBA Lung Density Committee

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Clinical and Molecular Phenotypes of Severe AsthmaU10HL109146 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FAHY, JOHN V · 2011 to 2016
$4.0M
AstraZenecaCOPD FoundationGE HealthcareGenentechGlaxoSmithKlineNHLBI NIH HHS R01 HL089897NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U10 HL109146NIH HHSNovartisSunovion
6 · The paper itself

Abstract

purposeMultiple commercial, open-source, and academic software tools exist for objective quantification of lung density in computed tomography (CT) images. The purpose of this study was to evaluate the intersoftware reproducibility of CT lung density measurements.

methodsComputed tomography images from 50 participants from the COPDGene

resultsIntersoftware mean bias was within ±0.22 mL, ±0.46%, and ±0.97 HU for TLV, LAA

conclusionsComputed tomography total lung volume and lung density measurement bias and reproducibility was reported across eight different software tools. Bias was negligible across vendors, reproducibility was comparable for software tools generated by academic-based groups and commercial vendors, and segmentation QA had negligible impact on measurement variability between software tools. In summary, results from this study report the amount of additional measurement variability that should be accounted for when using different software tools to measure lung density longitudinally with well-standardized image acquisition protocols. However, intrasoftware reproducibility was deterministic for all cases so use of the same software tool to reduce variability for serial studies is highly recommended.

Indexed as

Pulmonary EmphysemaTomography, X-Ray ComputedCohort StudiesHumansLungReproducibility of ResultsSoftwarecomputed tomographyCOPDemphysemaimaging biomarkerlung density

Identifiers

PMID32160310
PMCPMC7944589

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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.