Evidence map›Paper›PMID 38467956›Full record

ArticleJournal of imaging informatics in medicine2024

CT-Based Evaluation of the Shape of the Diaphragm Using 3D Slicer.

Olivier Taton, Alain Van Muylem, Dimitri Leduc, Pierre Alain Gevenois

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

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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

4 authors.

Olivier TatonDepartment of Pneumology, Hôpital Erasme, Université libre de Bruxelles (ULB), 808 Route de Lennik, 1070, Brussels, Belgium. Olivier.Taton@hubruxelles.be.ORCID 0000-0002-6637-1934
Alain Van MuylemDepartment of Pneumology, Hôpital Erasme, Université libre de Bruxelles (ULB), 808 Route de Lennik, 1070, Brussels, Belgium.
Dimitri LeducDepartment of Pneumology, Hôpital Erasme, Université libre de Bruxelles (ULB), 808 Route de Lennik, 1070, Brussels, Belgium.
Pierre Alain GevenoisDepartment of Pneumology, Hôpital Erasme, Université libre de Bruxelles (ULB), 808 Route de Lennik, 1070, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diaphragm is the main inspiratory muscle and separates the thorax and the abdomen. In COPD, the evaluation of the diaphragm shape is clinically important, especially in the case of hyperinflation. However, delineating the diaphragm remains a challenge as it cannot be seen entirely on CT scans. Therefore, the lungs, ribs, sternum, and lumbar vertebrae are used as surrogate landmarks to delineate the diaphragm. We herein describe a CT-based method for evaluating the shape of the diaphragm using 3D Slicer-a free software that allows delineation of the diaphragm landmarks-in ten COPD patients. Using the segmentation performed with 3D Slicer, the diaphragm shape was reconstructed with open-source Free Pascal Compiler. From this graduated model, the length of the muscle fibers, the radius of curvature, and the area of the diaphragm-the main determinants of its function-can be measured. Inter- and intra-user variabilities were evaluated with Bland and Altman plots and linear mixed models. Except for the coronal length (p = 0.049), there were not statistically significant inter- or intra-user differences (p values ranging from 0.326 to 0.910) suggesting that this method is reproducible and repeatable. In conclusion, 3D Slicer can be applied to CT scans for determining the shape of the diaphragm in COPD patients.

Indexed as

DiaphragmImaging, Three-DimensionalPulmonary Disease, Chronic ObstructiveTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSoftware3D SlicerChronic obstructive pulmonary diseaseComputed tomographyDiaphragm

Identifiers

PMID38467956
PMCPMC11300794

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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.