Evidence map›Paper›PMID 39728904›Full record

ArticleTomography (Ann Arbor, Mich.)2024

A Novel Method for the Generation of Realistic Lung Nodules Visualized Under X-Ray Imaging.

Ahmet Peker, Ayushi Sinha, Robert M King, Jeffrey Minnaard, William van der Sterren, Torre Bydlon, Alexander A Bankier, Matthew J Gounis

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahmet PekerDepartment of Radiology, University of Massachusetts Medical Center, Worcester, MA 01655, USA.ORCID 0000-0002-4913-6860
Ayushi SinhaPhilips Research North America, Cambridge, MA 02141, USA.ORCID 0000-0001-8606-6585
Robert M KingDepartment of Radiology, University of Massachusetts Medical Center, Worcester, MA 01655, USA.
Jeffrey MinnaardPhilips Image Guided Therapy Systems, 5684 PC Best, The Netherlands.
William van der SterrenPhilips Image Guided Therapy Systems, 5684 PC Best, The Netherlands.ORCID 0000-0002-7403-9376
Torre BydlonPhilips Research North America, Cambridge, MA 02141, USA.
Alexander A BankierDepartment of Radiology, University of Massachusetts Medical Center, Worcester, MA 01655, USA.
Matthew J GounisDepartment of Radiology, University of Massachusetts Medical Center, Worcester, MA 01655, USA.ORCID 0000-0002-8034-2785

Funding

Philips (United States) PJ-011665
6 · The paper itself

Abstract

objectiveImage-guided diagnosis and treatment of lung lesions is an active area of research. With the growing number of solutions proposed, there is also a growing need to establish a standard for the evaluation of these solutions. Thus, realistic phantom and preclinical environments must be established. Realistic study environments must include implanted lung nodules that are morphologically similar to real lung lesions under X-ray imaging.

methodsVarious materials were injected into a phantom swine lung to evaluate the similarity to real lung lesions in size, location, density, and grayscale intensities in X-ray imaging. A combination of n-butyl cyanoacrylate (n-BCA) and ethiodized oil displayed radiopacity that was most similar to real lung lesions, and various injection techniques were evaluated to ensure easy implantation and to generate features mimicking malignant lesions.

resultsThe techniques used generated implanted nodules with properties mimicking solid nodules with features including pleural extensions and spiculations, which are typically present in malignant lesions. Using only n-BCA, implanted nodules mimicking ground glass opacity were also generated. These results are condensed into a set of recommendations that prescribe the materials and techniques that should be used to reproduce these nodules.

conclusionsGenerated recommendations on the use of n-BCA and ethiodized oil can help establish a standard for the evaluation of new image-guided solutions and refinement of algorithms in phantom and animal studies with realistic nodules.

Indexed as

Lung NeoplasmsPhantoms, ImagingAnimalsContrast MediaEnbucrilateEthiodized OilLungSwineTomography, X-Ray ComputedContrast MediaEnbucrilateEthiodized Oilground glass opacitylung cancerpulmonary neoplasmsolid nodulessolitary pulmonary lesionssynthetic lung nodulesX-ray imaging

Identifiers

PMID39728904
PMCPMC11679473

What OpenQuestion holds

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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.