Evidence map›Paper›PMID 31591646›Full record

ArticleInsights into imaging2019

Optimization of pulmonary emphysema quantification on CT scans of COPD patients using hybrid iterative and post processing techniques: correlation with pulmonary function tests.

E de Boer, I M Nijholt, S Jansen, M A Edens, S Walen, J W K van den Berg, M F Boomsma

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Quantitative Analysis for Lung Disease on Thin-Section CT.Diagnostics (Basel, Switzerland) · 2023
    Review
  4. Article
  5. Article
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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

7 authors at 1 institution in 1 country.

E de BoerDepartment of Radiology, Isala hospital, Dr. van Heesweg 2, 8025 AB, Zwolle, The Netherlands.
I M NijholtDepartment of Radiology, Isala hospital, Dr. van Heesweg 2, 8025 AB, Zwolle, The Netherlands.
S JansenDepartment of Radiology, Isala hospital, Dr. van Heesweg 2, 8025 AB, Zwolle, The Netherlands.
M A EdensDepartment of Innovation and Science, Isala hospital, Zwolle, The Netherlands.
S WalenDepartment of Pulmonology, Isala hospital, Zwolle, The Netherlands.
J W K van den BergDepartment of Pulmonology, Isala hospital, Zwolle, The Netherlands.
M F BoomsmaDepartment of Radiology, Isala hospital, Dr. van Heesweg 2, 8025 AB, Zwolle, The Netherlands. m.f.boomsma@isala.nl.ORCID http://orcid.org/0000-0002-7878-0970
Isala · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to assess the effect of hybrid iterative reconstruction and post processing on emphysema quantification in low-dose CT scans of COPD patients using pulmonary function tests (PFT) as a reference.

methodsCT scans of 23 COPD patients diagnosed with GOLD I or higher were reconstructed with iDose

resultsDenoising significantly reduced %LAA-950 as was demonstrated by lower %LAA-950 in ISP7 with denoising filter and a significant reduction in %LAA-950 with higher iDose

conclusionsOur study showed that hybrid iterative reconstruction and use of post processing denoising can optimize the use of emphysema quantification in CT scans as a complimentary diagnostic tool to stage COPD in addition to PFT.

Indexed as

Chronic Obstructive Pulmonary DiseaseComputed TomographyComputer assisted image processingEmphysemaRespiratory function tests

Identifiers

PMID31591646
PMCPMC6779684
OpenAlexW2978529334

What OpenQuestion holds

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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.