Evidence map›Paper›PMID 39430055›Full record

ArticleComputer methods in applied mechanics and engineering2024

FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.

Martin R Pfaller, Marcos Latorre, Erica L Schwarz, Fannie M Gerosa, Jason M Szafron, Jay D Humphrey, Alison L Marsden

Abstract read
In one paragraph

Article in Computer methods in applied mechanics and engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Review
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

7 authors.

Martin R PfallerDepartment of Pediatrics - Cardiology, Stanford Univeristy, Stanford, CA 94305, USA.
Marcos LatorreCenter for Research and Innovation in Bioengineering, Universitat Politècnica de València, València, Spain.
Erica L SchwarzDepartment of Bioengineering, Stanford Univeristy, Stanford, CA 94305, USA.
Fannie M GerosaDepartment of Pediatrics - Cardiology, Stanford Univeristy, Stanford, CA 94305, USA.
Jason M SzafronDepartment of Pediatrics - Cardiology, Stanford Univeristy, Stanford, CA 94305, USA.
Jay D HumphreyDepartment of Biomedical Engineering, Yale Univeristy, New Haven, CT 06511, USA.
Alison L MarsdenDepartment of Pediatrics - Cardiology, Stanford Univeristy, Stanford, CA 94305, USA.

Funding

Improving Tissue Engineered Vascular Graft Performance via Computational ModelingR01HL139796 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI BREUER, CHRISTOPHER KANE, HUMPHREY, JAY D. · 2018 to 2025
$6.4M
Computational model-driven design to mitigate vein graft failure after coronary artery bypassR01HL159954 · NHLBI · STANFORD UNIVERSITY · PI HUMPHREY, JAY D., MARSDEN, ALISON L · 2022 to 2025
$2.7M
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionR00HL161313 · NHLBI · YALE UNIVERSITY · PI Martin R Pfaller · 2024 to 2026
$747k
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionK99HL161313 · NHLBI · STANFORD UNIVERSITY · PI PFALLER, MARTIN R · 2022 to 2023
$324k
NHLBI NIH HHS K99 HL161313NHLBI NIH HHS R00 HL161313NHLBI NIH HHS R01 HL139796NHLBI NIH HHS R01 HL159954
6 · The paper itself

Abstract

Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equilibrated growth and remodeling (G&R). Such models can capture evolving geometry, composition, and material properties in health and disease and following clinical interventions. In traditional G&R models, this feedback is modeled through highly simplified fluid solutions, neglecting local variations in blood pressure and wall shear stress (WSS). FSGe overcomes these inherent limitations by strongly coupling the 3D Navier-Stokes equations for blood flow with a 3D equilibrated constrained mixture model (CMMe) for vascular tissue G&R. CMMe allows one to predict long-term evolved mechanobiological equilibria from an original homeostatic state at a computational cost equivalent to that of a standard hyperelastic material model. In illustrative computational examples, we focus on the development of a stable aortic aneurysm in a mouse model to highlight key differences in growth patterns between FSGe and solid-only G&R models. We show that FSGe is especially important in blood vessels with asymmetric stimuli. Simulation results reveal greater local variation in fluid-derived WSS than in intramural stress (IMS). Thus, differences between FSGe and G&R models became more pronounced with the growing influence of WSS relative to pressure. Future applications in highly localized disease processes, such as for lesion formation in atherosclerosis, can now include spatial and temporal variations of WSS.

Identifiers

PMID39430055
PMCPMC11484312

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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.