Evidence map›Paper›PMID 38716316›Full record

ArticleCardiovascular diagnosis and therapy2024

Thrombus discrimination with electron density: potential implications for non-contrast computed tomography imaging.

Gaston A Rodriguez-Granillo, Juan Cirio, Celina Morales, Jorge Safady, Lucia Fontana, Martin Fernandez, Pablo Diluca, Pedro Lylyk

Abstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Observational
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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

8 authors.

Gaston A Rodriguez-GranilloDepartment of Cardiovascular Imaging, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-0820-2611
Juan CirioStroke Unit, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.
Celina MoralesDepartament of Pathology, Faculty of Medicine, Instituto de Fisiopatología Cardiovascular, Universidad de Buenos Aires, Buenos Aires, Argentina.
Jorge SafadyStroke Unit, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.
Lucia FontanaDepartment of Cardiovascular Imaging, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.
Martin FernandezDepartment of Cardiovascular Imaging, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.
Pablo DilucaDepartment of Radiology, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.
Pedro LylykStroke Unit, Instituto Medico ENERI, Clinica La Sagrada Familia, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential clinical usefulness of electron density (ED) imaging, that can be directly estimated using dual-layer spectral computed tomography (CT), has been poorly investigated. We explored whether ED imaging might improve thrombus identification compared to conventional imaging in vitro. We evaluated mechanical thrombectomy material obtained from patients with acute ischemic stroke (AIS) treated in a tertiary level stroke center and immediately fixed in 10% neutral buffered formalin and stored in polystyrene test tubes. The test tubes were immersed in a bucket of water for evaluation by spectral CT, along with scattered control tubes. All images were obtained using a dual-layer detector CT scanner. Each tube was assessed using multiparametric side-by-side view of conventional CT (120 kVp), low monoenergetic imaging (40 keV), and ED images. Fifty-eight polystyrene tubes were analyzed, comprising 52 tubes with thrombectomy material of at least 1 mm

Indexed as

computed tomography (CT)Dual energyspectralthrombustissue characterization

Identifiers

PMID38716316
PMCPMC11071000

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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.