Evidence map›Paper›PMID 40727347›Full record

ArticleQuantitative imaging in medicine and surgery2025

Assessing differences in growth and shape between symptomatic and asymptomatic abdominal aortic aneurysms.

Drew J Braet, Timothy J Baker, Jonathan L Eliason, C Alberto Figueroa, Nicholas S Burris

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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

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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

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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.

  1. Article
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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

5 authors.

Drew J BraetSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0003-2954-6085
Timothy J BakerDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Jonathan L EliasonSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
C Alberto FigueroaSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Nicholas S BurrisDepartment of Radiology, University of Wisconsin, Madison, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the risk of abdominal aortic aneurysm (AAA) rupture typically rises with increasing maximum aortic diameter (Dmax), this metric alone does not reflect the full morphological complexity of AAAs and is inadequate for accurately predicting rupture risk. In this study, we aimed to explore differences in growth and shape between asymptomatic AAA (aAAA) and symptomatic AAA (sAAA). Methods: Patients with infra-renal AAA and ≥2 CTA from 2010-2023 were identified. PRAEVAorta (Nurea, Bordeaux, France) was used to obtain segmentations of the aorta and its branches. Each segmentation was manually reviewed for accuracy using 3D Slicer. Patient demographics, Dmax, AAA flow lumen (AFL), and intraluminal thrombus (ILT) volume were obtained and compared between aAAA and sAAA. A subgroup of aAAA were matched with sAAA on sex and baseline Dmax (12 matched pairs) for comparison of shape, curvature, and 3D-growth. Statistical shape modeling (SSM) derived mean shapes for aAAA and sAAA were compared. Shape [quantified using distance to centerline (DC) in cm], curvature, and 3D-growth (defined as the difference in shape over time) were compared over eight aortic segments. Results: Fifty-five patients with AAA (12 sAAA) were included (47.3% female). Patients with sAAA were younger than those with aAAA [66.0 (60.9, 70.1) Conclusions: sAAA had larger increase in AAA volume and AFL volume over time when compared to aAAA (despite no difference in diameter, volume, or change in diameter). Despite no quantifiable differences in shape or curvature between aAAA and sAAA, sAAA had larger 3D-growth in the left lateral aneurysm neck compared to aAAA. Volumetric changes, shape, and 3D-growth may be better predictors of AAA rupture risk. However, larger scale studies are warranted to confirm these preliminary findings and explore the mechanisms underlying these differences.

Indexed as

aneurysmal enlargementAortic aneurysmaortic diseases

Identifiers

PMID40727347
PMCPMC12290770

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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.