Evidence map›Paper›PMID 33758315›Full record

ArticleScientific reports2021

On the impact of vessel wall stiffness on quantitative flow dynamics in a synthetic model of the thoracic aorta.

Judith Zimmermann, Michael Loecher, Fikunwa O Kolawole, Kathrin Bäumler, Kyle Gifford, Seraina A Dual, Marc Levenston, Alison L Marsden, Daniel B Ennis

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. Development and Characteristics of a Dual-Layered Vascular Phantom.Cardiovascular engineering and technology · 2026
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  5. Review
  6. 3D-printed in vitro models of Stanford type B aortic dissection: A scoping review.Journal of vascular surgery cases and innovative techniques · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Development of idealized human aortic models forFrontiers in cardiovascular medicine · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

9 authors at 2 institutions in 1 country.

Judith ZimmermannDepartment of Radiology, Stanford University, Stanford, CA, USA. juzim@stanford.edu.
Michael LoecherDepartment of Radiology, Stanford University, Stanford, CA, USA.
Fikunwa O KolawoleDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Kathrin BäumlerDepartment of Radiology, Stanford University, Stanford, CA, USA.
Kyle GiffordDepartment of Radiology, Stanford University, Stanford, CA, USA.
Seraina A DualDepartment of Radiology, Stanford University, Stanford, CA, USA.
Marc LevenstonDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Alison L MarsdenDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Daniel B EnnisDepartment of Radiology, Stanford University, Stanford, CA, USA.
Stanford University · USCardiovascular Institute of the South · US

Funding

A New Framework for Understanding the Mechanisms of Diastolic DysfunctionR01HL131823 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2017 to 2020
$2.3M
NIH HHS R01 HL131823
6 · The paper itself

Abstract

Aortic wall stiffening is a predictive marker for morbidity in hypertensive patients. Arterial pulse wave velocity (PWV) correlates with the level of stiffness and can be derived using non-invasive 4D-flow magnetic resonance imaging (MRI). The objectives of this study were twofold: to develop subject-specific thoracic aorta models embedded into an MRI-compatible flow circuit operating under controlled physiological conditions; and to evaluate how a range of aortic wall stiffness impacts 4D-flow-based quantification of hemodynamics, particularly PWV. Three aorta models were 3D-printed using a novel photopolymer material at two compliant and one nearly rigid stiffnesses and characterized via tensile testing. Luminal pressure and 4D-flow MRI data were acquired for each model and cross-sectional net flow, peak velocities, and PWV were measured. In addition, the confounding effect of temporal resolution on all metrics was evaluated. Stiffer models resulted in increased systolic pressures (112, 116, and 133 mmHg), variations in velocity patterns, and increased peak velocities, peak flow rate, and PWV (5.8-7.3 m/s). Lower temporal resolution (20 ms down to 62.5 ms per image frame) impacted estimates of peak velocity and PWV (7.31 down to 4.77 m/s). Using compliant aorta models is essential to produce realistic flow dynamics and conditions that recapitulated in vivo hemodynamics.

Indexed as

Aorta, ThoracicHemodynamicsModels, CardiovascularRegional Blood FlowVascular StiffnessAlgorithmsBlood Flow VelocityHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedPressureTensile Strength

Identifiers

PMID33758315
PMCPMC7988183
OpenAlexW3119600776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.