Evidence map›Paper›PMID 42500547›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2026

Ultrasound strain mapping of the non-aneurysmal abdominal aorta for detecting age-related aortic stiffening.

Karin Dahlström, Ulver Spangsberg Rouw, Julie Krogh Pedersen, Laurence Rouet, Marta Irene Bracco, Jonas Peter Eiberg, COACH Research Collaborative1

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Article in International journal of cardiology. Cardiovascular risk and prevention, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Karin DahlströmDepartment of Vascular Surgery, The Heart Center, Copenhagen University Hospital - Rigshospitalet, Denmark.
Ulver Spangsberg RouwDepartment of Vascular Surgery, The Heart Center, Copenhagen University Hospital - Rigshospitalet, Denmark.
Julie Krogh PedersenDepartment of Vascular Surgery, The Heart Center, Copenhagen University Hospital - Rigshospitalet, Denmark.
Laurence RouetPhilips Health Technology Innovation, Paris, France.
Marta Irene BraccoPhilips Health Technology Innovation, Paris, France.
Jonas Peter EibergDepartment of Vascular Surgery, The Heart Center, Copenhagen University Hospital - Rigshospitalet, Denmark.
COACH Research Collaborative1

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortic stiffness is a proxy for cardiovascular risk, but the methods are technically demanding. Ultrasound-based assessment of aortic wall strain patterns is established in abdominal aortic aneurysms but has never been described in the non-aneurysmal aorta. This study aimed to describe a workflow for ultrasound-derived strain mapping of the non-aneurysmal abdominal aorta and assess technical applicability, acquisition reproducibility, and age-related strain patterns. Methods: In this cross-sectional proof-of-concept study, healthy volunteers underwent ultrasound scanning of their non-aneurysmal abdominal aortas with standard equipment. Three independent operators scanned each participant. The ultrasound acquisitions were saved as short videos, or cine-loops, and were analysed off-line with prototype software to extract mean strain, strain heterogeneity, and circumferential strain patterns. Acquisition reproducibility was assessed with extended Bland-Altman statistics, and associations with age group and sex were analysed using regression models and functional data analysis. Results: Fifty-seven volunteers were included, generating 171 cineloops; all were suitable for strain analysis. Mean strain decreased with age from 8.70% in participants aged <30 years to 3.90% in those aged >50 years (P < .001), and strain heterogeneity was associated with age (P = .01). Mean strain and heterogeneity were not associated with sex. Inter-operator limits of agreement were ±1.5 mm for diameter, ±1.64 percentage points for mean strain, and ±0.18 for heterogeneity index. Conclusion: Ultrasound-derived strain mapping of the non-aneurysmal abdominal aorta is applicable and shows acceptable acquisition reproducibility. The method describes age-related differences in aortic strain, supporting validation as a future tool for assessing aortic stiffness and cardiovascular risk.

Indexed as

Abdominal aortaAortic stiffnessAortic strainAtherosclerosisCardiovascular riskUltrasound

Identifiers

PMID42500547
PMCPMC13396744

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