Evidence map›Paper›PMID 35903666›Full record

ArticleFrontiers in cardiovascular medicine2022

3D Ultrasound Measurements Are Highly Sensitive to Monitor Formation and Progression of Abdominal Aortic Aneurysms in Mouse Models.

Nahla Ibrahim, Sonja Bleichert, Johannes Klopf, Gabriel Kurzreiter, Viktoria Knöbl, Hubert Hayden, Albert Busch, Alexander Stiglbauer-Tscholakoff, Wolf Eilenberg, Christoph Neumayer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

12 authors at 4 institutions in 3 countries.

Nahla IbrahimDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Sonja BleichertDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Johannes KlopfDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Gabriel KurzreiterDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Viktoria KnöblDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Hubert HaydenDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Albert BuschDepartment for Visceral, Thoracic and Vascular Surgery, Technical University of Dresden, University Hospital Carl-Gustav Carus, Dresden, Germany.
Alexander Stiglbauer-TscholakoffDivision of Cardiovascular and Interventional Radiology, Division of Molecular and Gender Imaging, Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Wolf EilenbergDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Christoph NeumayerDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Marc A BaileySchool of Medicine, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Christine BrostjanDivision of Vascular Surgery, Department of General Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Medical University of Vienna · ATVienna General Hospital · ATLeeds General Infirmary · GBUniversity Hospital Carl Gustav Carus · DE

Funding

Austrian Science Fund FWF DOC 59
6 · The paper itself

Abstract

Background: Available mouse models for abdominal aortic aneurysms (AAAs) differ substantially in the applied triggers, associated pathomechanisms and rate of vessel expansion. While maximum aortic diameter (determined after aneurysm excision or by 2D ultrasound) is commonly applied to document aneurysm development, we evaluated the sensitivity and reproducibility of 3D ultrasound to monitor aneurysm growth in four distinct mouse models of AAA. Methods: The models included angiotensin-II infusion in ApoE deficient mice, topical elastase application on aortas in C57BL/6J mice (with or without oral administration of β-aminoproprionitrile) and intraluminal elastase perfusion in C57BL/6J mice. AAA development was monitored using semi-automated 3D ultrasound for aortic volume calculation over 12 mm length and assessment of maximum aortic diameter. Results: While the models differed substantially in the time course of aneurysm development, 3D ultrasound measurements (volume and diameter) proved highly reproducible with concordance correlation coefficients > 0.93 and variations below 9% between two independent observers. Except for the elastase perfusion model where aorta expansion was lowest and best detected by diameter increase, all other models showed high sensitivity of absolute volume and diameter measurements in monitoring AAA formation and progression by 3D ultrasound. When compared to standard 2D ultrasound, the 3D derived parameters generally reached the highest effect size. Conclusion: This study has yielded novel information on the robustness and limitations of semi-automated 3D ultrasound analysis and provided the first direct comparison of aortic volume increase over time in four widely applied mouse models of AAA. While 3D ultrasound generally proved highly sensitive in detecting early AAA formation, the 3D based volume analysis was found inferior to maximum diameter assessment in the elastase perfusion model where the extent of inflicted local injury is determined by individual anatomical features.

Indexed as

3D ultrasoundabdominal aortic aneurysmaortic volumecardiovascular imagingmaximum aortic diametermurine models

Identifiers

PMID35903666
PMCPMC9314770
OpenAlexW4285041193

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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.