Evidence map›Paper›PMID 41422919›Full record

ArticleAnnals of vascular surgery2026

Three-Dimensional Assessment of Renal Artery Aneurysm Growth Using Vascular Deformation Mapping.

Drew J Braet, Beckett Peterson, Luciano Delbono, Chris Johnson-Harwitz, Peter K Henke, Dawn M Coleman, C Alberto Figueroa, James C Stanley, Nicholas S Burris

Abstract read
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Article in Annals of vascular surgery, 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

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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Drew J BraetSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI. Electronic address: djbraet@med.umich.edu.
Beckett PetersonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI.
Luciano DelbonoSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI.
Chris Johnson-HarwitzDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Peter K HenkeSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI.
Dawn M ColemanSection of Vascular Surgery, Department of Surgery, Duke University, Durham, NC.
C Alberto FigueroaSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI.
James C StanleySection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI.
Nicholas S BurrisDepartment of Radiology, University of Wisconsin, Madison, WI.

Funding

Vascular Deformation Mapping (VDM) for Automated, 3D Assessment of Thoracic Aortic AneurysmR44HL145953 · NHLBI · IMBIO, LLC · PI BURRIS, NICHOLAS SCOTT, HATT, CHARLES R · 2019 to 2022
$1.5M
NHLBI NIH HHS R44 HL145953
6 · The paper itself

Abstract

backgroundRisk factors for renal artery aneurysm (RAA) growth are poorly understood. Vascular deformation mapping (VDM) is known to accurately depict 3-dimensional (3D) growth patterns of aortic aneurysms. This study investigates the feasibility of VDM to accurately define 3D growth of RAAs and the relationship of RAA diameter alone to 3D growth.

methodsFifty-five RAAs having ≥2 computed tomography angiograms with ≤2.5 mm slice thickness, ≥2 months apart, were studied. RAAs were segmented and their volumes (including calcium, thrombus, lumen, and total) were determined. Change in RAA diameter (ΔDiameter) and volume (ΔVolume) over time were calculated. VDM was used to quantify 3D growth. ΔVolume and mean 3D growth were compared between RAAs having stable diameters and those with increased diameters (≥0.1 cm ΔDiameter) and the relationship between ΔDiameter, ΔVolume, and 3D growth was examined.

resultsTwenty-five of the 55 RAAs studied had successful VDM analyses. The affected patients' mean age was 60.1 ± 8.7 years and 56% were female. One RAA was symptomatic, with no ruptures. The overall ΔDiameter was 0.86 ± 1.25 mm/year (mean CT interval of 43.1 months). Nine (36.0%) RAAs exhibited diameter increases, and when compared to the 16 stable RAAs, there were no differences in ΔVolume or 3D growth. There was no correlation of ΔDiameter with 3D growth or ΔVolume (r < 0.4, P > 0.05). RAA 3D growth strongly correlated with ΔTotal Volume (r = 0.653, P < 0.001) and ΔLumen Volume (r = 0.695, P < 0.001).

conclusionVDM is an accurate method for assessing RAA growth, yields additional metrics not provided by diameter alone, and provides a more comprehensive assessment of RAA morphology changes that correlate with ΔVolume.

Indexed as

AneurysmComputed Tomography AngiographyImaging, Three-DimensionalMultidetector Computed TomographyRadiographic Image Interpretation, Computer-AssistedRenal ArteryAgedDisease ProgressionFeasibility StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective Studies

Identifiers

PMID41422919
PMCPMC13504768

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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.