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


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 05 11 2019
revised: 02 03 2020
accepted: 02 03 2020
pubmed: 12 3 2020
medline: 15 5 2021
entrez: 12 3 2020
Statut: ppublish

Résumé

Multiple 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. Computed tomography images from 50 participants from the COPDGene Intersoftware mean bias was within ±0.22 mL, ±0.46%, and ±0.97 HU for TLV, LAA Computed 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.

Identifiants

pubmed: 32160310
doi: 10.1002/mp.14130
pmc: PMC7944589
mid: NIHMS1673571
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2962-2969

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL089897
Pays : United States
Organisme : Sunovion
Organisme : NHLBI NIH HHS
ID : U01 HL089897
Pays : United States
Organisme : AstraZeneca
Organisme : Novartis
Organisme : NIH HHS
Pays : United States
Organisme : GlaxoSmithKline
Organisme : Genentech
Organisme : COPD Foundation
Organisme : NHLBI NIH HHS
ID : U10 HL109146
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL089856
Pays : United States
Organisme : GE Healthcare

Informations de copyright

© 2020 American Association of Physicists in Medicine.

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Auteurs

Miranda Kirby (M)

Department of Physics, Ryerson University, Toronto, ON, Canada.

Charles Hatt (C)

IMBIO, Minneapolis, MN, USA.
Deparment of Radiology, University of Michigan, Ann Arbor, MI, USA.

Nancy Obuchowski (N)

Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.

Stephen M Humphries (SM)

Department of Radiology, National Jewish Health, Denver, CO, USA.

Jered Sieren (J)

VIDA Diagnostics Inc., Coralville, IA, USA.

David A Lynch (DA)

Department of Radiology, National Jewish Health, Denver, CO, USA.

Sean B Fain (SB)

Deparment of Medical Physics, University of Wisconsin, Madison, WI, USA.

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