Evidence map›Paper›PMID 31903266›Full record

ArticleJournal of thoracic disease2019

Multimodality cardiac computed tomography angiography and magnetic resonance with clinical-grade scanners provide robust assessment of cardiac morphology and function in rabbits.

Gitsios Gitsioudis, Maximilian Nunninger, Anna Missiou, Peter Wolf, Hugo A Katus, Grigorios Korosoglou

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2019. 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
0.3field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Gitsios GitsioudisDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Maximilian NunningerDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Anna MissiouDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Peter WolfDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Hugo A KatusDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Grigorios KorosoglouDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
German Centre for Cardiovascular Research · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-invasive computer tomography (CT)- and magnetic resonance (MR)-based cardiac imaging still remains challenging in rodents. To investigate the robustness of non-invasive multimodality cardiac imaging in rabbits using clinical-grade CT and MR scanners.

methodsA total of 16 rabbits (2.7-4.0 kg) serially underwent cardiac-gated imaging using a clinical-grade 256-row CT and a 1.5 Tesla MR-scanner at baseline and at 4-month follow-up (16±1 weeks). Image analysis included image quality (5-grade scale), left ventricular (LV) volumes, LV stroke volume, LV diameters, LV wall thickness and ejection fraction (LVEF).

resultsCardiac MR (CMR) and CT angiography (CTA) provide images with an overall good image quality (excellent or good quality: CMR 82%

conclusionsMultimodality non-invasive assessment of cardiac function and aortic hemodynamics is feasible and robust in rabbits using clinical-grade and MR and CT scanners. These imaging modalities could improve serial cardiac assessment for disease monitoring in preclinical settings.

Indexed as

cardiac-gated computer tomography angiography (cardiac-gated CTA)Cardiac magnetic resonance (CMR)rabbitsvelocity-encoded phase contrast magnetic resonance imaging (velocity-encoded phase contrast MRI)

Identifiers

PMID31903266
PMCPMC6940212
OpenAlexW2989705003

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.