Evidence map›Paper›PMID 33969308›Full record

ArticleRadiology. Cardiothoracic imaging2021

Comparison of CT Lung Density Measurements between Standard Full-Dose and Reduced-Dose Protocols.

Charles R Hatt, Andrea S Oh, Nancy A Obuchowski, Jean-Paul Charbonnier, David A Lynch, Stephen M Humphries

Open access · greenAbstract read
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  14. Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis.Annals of the American Thoracic Society · 2023
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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

6 authors at 1 institution in 1 country.

Charles R HattImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).ORCID https://orcid.org/0000-0001-7097-5434
Andrea S OhImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).ORCID https://orcid.org/0000-0002-8212-524X
Nancy A ObuchowskiImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).ORCID https://orcid.org/0000-0003-1891-7477
Jean-Paul CharbonnierImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).
David A LynchImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).ORCID https://orcid.org/0000-0002-6329-2325
Stephen M HumphriesImbio LLC, 1015 Glenwood Ave, Minneapolis, MN 55405 (C.R.H.); School of Medicine and Public Health, Division of Radiology, University of Michigan, Ann Arbor, Mich (C.R.H.); Department of Radiology, National Jewish Health, Denver, Colo (A.S.O., D.A.L., S.M.H.); Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio (N.A.O.); and Thirona, Nijmegen, the Netherlands (J.P.C.).
Anna Needs Neuroblastoma Answers · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Prediction of COPD Progression by PRMR01HL150023 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALBAN, CRAIG J, HAN, MEILAN K · 2020 to 2023
$2.8M
Commercialization of a CT-based Technique for BOS AssessmentR44HL140894 · NHLBI · IMBIO, LLC · PI GALBAN, CRAIG J, LUDWIG, KAI DAVID · 2018 to 2021
$1.7M
NHLBI NIH HHS R01 HL150023NHLBI NIH HHS R44 HL140894NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

purposeTo evaluate the reproducibility and predicted clinical outcomes of CT-based quantitative lung density measurements using standard fixed-dose (FD) and reduced-dose (RD) scans. MATERIALS AND

methodsIn this retrospective analysis of prospectively acquired data, 1205 participants (mean age, 65 years ± 9 [standard deviation]; 618 men) enrolled in the COPDGene study who underwent FD and RD CT image acquisition protocols between November 2014 and July 2017 were included. Of these, the RD scans of 640 participants were also reconstructed using iterative reconstruction (IR). Median filtering was applied to the RD scans (RD-MF) to investigate an alternative noise reduction strategy. CT attenuation at the 15th percentile of the lung CT histogram (Perc15) was computed for all image types (FD, RD, RD-MF, and RD-IR). Reproducibility coefficients were calculated to quantify the measurement differences between FD and RD scans. The ability of Perc15 to predict chronic obstructive pulmonary disease (COPD) diagnosis and exacerbation frequency was investigated using receiver operating characteristic analysis.

resultsThe Perc15 reproducibility coefficients with and without volume adjustment were as follows: RD, 29.43 HU ± 0.62 versus 32.81 HU ± 1.70; RD-MF, 7.42 HU ± 0.42 versus 19.40 HU ± 2.65; and RD-IR, 7.10 HU ± 0.52 versus 22.46 HU ± 3.91. Receiver operating characteristic curve analysis indicated that Perc15 on volume-adjusted FD and RD scans were both predictive for COPD diagnosis (area under the receiver operating characteristic curve [AUC]: FD, 0.724 ± 0.045; RD, 0.739 ± 0.045) and for having one or more exacerbation per year (AUCs: FD, 0.593 ± 0.068; RD, 0.589 ± 0.066). Similar trends were observed when volume adjustment was not applied.

conclusionA combination of volume adjustment and noise reduction filtering improved the reproducibility of lung density measurements computed using serial FD and RD CT scans.

Identifiers

PMID33969308
PMCPMC8098098
OpenAlexW3153372042

What OpenQuestion holds

Textmetadata
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Registered trials

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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.