Evidence map›Paper›PMID 32655195›Full record

ArticleComputer methods in applied mechanics and engineering2020

Fast, Rate-Independent, Finite Element Implementation of a 3D Constrained Mixture Model of Soft Tissue Growth and Remodeling.

Marcos Latorre, Jay D Humphrey

Abstract read
In one paragraph

Article in Computer methods in applied mechanics and engineering, 2020. 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
–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

17 citing papers in PubMed.

  1. Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
    Article
  7. A Fluid-Solid-Growth Solver for Cardiovascular Modeling.Computer methods in applied mechanics and engineering · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  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

2 authors.

Marcos LatorreDepartment of Biomedical Engineering Yale University, New Haven, CT, USA.
Jay D HumphreyDepartment of Biomedical Engineering Yale University, New Haven, CT, USA.

Funding

TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern AneurysmsP01HL134605 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RIFKIN, DANIEL B · 2018 to 2022
$12.1M
Multimodality imaging-driven multifidelity modeling of aortic dissectionU01HL142518 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2018 to 2022
$2.8M
Computational Model Driven Design of Tissue Engineered Vascular GraftsR01HL128602 · NHLBI · YALE UNIVERSITY · PI BREUER, CHRISTOPHER KANE, HUMPHREY, JAY D. · 2015 to 2018
$2.2M
NHLBI NIH HHS P01 HL134605NHLBI NIH HHS R01 HL128602NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Constrained mixture models of soft tissue growth and remodeling can simulate many evolving conditions in health as well as in disease and its treatment, but they can be computationally expensive. In this paper, we derive a new fast, robust finite element implementation based on a concept of mechanobiological equilibrium that yields fully resolved solutions and allows computation of quasi-equilibrated evolutions when imposed perturbations are slow relative to the adaptive process. We demonstrate quadratic convergence and verify the model via comparisons with semi-analytical solutions for arterial mechanics. We further examine the enlargement of aortic aneurysms for which we identify new mechanobiological insights into factors that affect the nearby non-aneurysmal segment as it responds to the changing mechanics within the diseased segment. Because this new 3D approach can be implemented within many existing finite element solvers, constrained mixture models of growth and remodeling can now be used more widely.

Indexed as

arteryconstrained mixturegrowthmechanobiologyremodeling

Identifiers

PMID32655195
PMCPMC7351114

What OpenQuestion holds

Textmetadata
LicenceTDM
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.