Evidence map›Paper›PMID 33229142›Full record

ArticleJournal of the mechanical behavior of biomedical materials2021

Reconstructing vascular homeostasis by growth-based prestretch and optimal fiber deposition.

Jiacheng Wu, Christoph M Augustin, Shawn C Shadden

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
    Article
  4. Article
  5. 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

3 authors.

Jiacheng WuDepartment of Mechanical Engineering, University of California, Berkeley, USA.
Christoph M AugustinDepartment of Mechanical Engineering, University of California, Berkeley, USA; Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria.
Shawn C ShaddenDepartment of Mechanical Engineering, University of California, Berkeley, USA. Electronic address: shadden@berkeley.edu.

Funding

Austrian Science Fund FWF I 4652
6 · The paper itself

Abstract

Computational modeling of cardiovascular biomechanics should generally start from a homeostatic state. This is particularly relevant for image-based modeling, where the reference configuration is the loaded in vivo state obtained from imaging. This state includes residual stress of the vascular constituents, as well as anisotropy from the spatially varying orientation of collagen and smooth muscle fibers. Estimation of the residual stress and fiber orientation fields is a formidable challenge in realistic applications. To help address this challenge, we herein develop a growth based Algorithm to recover a residual stress distribution in vascular domains such that the stress state in the loaded configuration is equal to a prescribed homeostatic stress distribution at physiologic pressure. A stress-driven fiber deposition process is included in the framework, which defines the distribution of the fiber alignments in the vascular homeostatic state based on a minimization procedure. Numerical simulations are conducted to test this two-stage homeostasis generation algorithm in both idealized and non-idealized geometries, yielding results that agree favorably with prior numerical and experimental data.

Indexed as

Cardiovascular SystemCollagenAnisotropyBiomechanical PhenomenaComputer SimulationHomeostasisStress, MechanicalCollagenConstrained mixtureImage-based modelingResidual stressVascular tissue mechanics

Identifiers

PMID33229142
PMCPMC7612608

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Registered trials

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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.