Evidence map›Paper›PMID 40978763›Full record

ReviewEuropean heart journal. Imaging methods and practice2025

Aorta unveiled: the crucial role of imaging in diagnosing and managing aortic disease-a review.

Jean-Baptiste Ricco, Aurélien Hostalrich, Xavier Chaufour

Abstract readReview
In one paragraph

Review in European heart journal. Imaging methods and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Jean-Baptiste RiccoDepartment of Vascular Surgery, University Hospital of Rangueil, 1 avenue Jean Poulhes, Cedex 09 Toulouse 31059, France.ORCID https://orcid.org/0000-0003-1912-900X
Aurélien HostalrichDepartment of Vascular Surgery, University Hospital of Rangueil, 1 avenue Jean Poulhes, Cedex 09 Toulouse 31059, France.
Xavier ChaufourDepartment of Vascular Surgery, University Hospital of Rangueil, 1 avenue Jean Poulhes, Cedex 09 Toulouse 31059, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic diseases, including aneurysmal and occlusive pathologies of the thoracic and abdominal aorta, represent a significant source of cardiovascular morbidity and mortality. This narrative review explores the role of modern and emerging imaging modalities in the management of aortic disease and highlights the pivotal roles of computed tomography angiography (CTA), magnetic resonance imaging (MRI), and contrast-enhanced ultrasound (CEUS). CTA remains the cornerstone for evaluating aneurysms, dissections, and traumatic injuries, offering high spatial resolution, rapid acquisition, and detailed anatomical assessment. MRI, particularly with advanced sequences such as 4D flow, provides comprehensive multiparametric evaluation without radiation exposure, making it ideal for younger patients and those requiring repeat imaging. Positron emission tomography (PET), especially when integrated with CTA or MRI, enables metabolic characterization of inflammation and infection in aortic walls. Ultrasound, particularly CEUS, remains indispensable in abdominal aortic aneurysm (AAA) screening and post-endovascular aortic aneurysm repair (EVAR) surveillance, especially in patients with renal impairment. Emerging technologies, including hybrid imaging, radiomics, and artificial intelligence (AI) are reshaping the landscape of aortic diagnostics. These innovations enhance detection of subtle imaging features, automate measurements, and may enable prediction of disease progression or complications.

Indexed as

aortic imagingartificial intelligencecomputed tomography angiographycontrast-enhanced ultrasonographyhybrid imagingmagnetic resonance imaging

Identifiers

PMID40978763
PMCPMC12448707

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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.