Evidence map›Paper›PMID 40964080›Full record

ArticleArXiv2025

Cardiac mechanics modeling: recent developments and current challenges.

Aaron L Brown, Ju Liu, Daniel B Ennis, Alison L Marsden

Abstract readPreprint

In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Aaron L BrownDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.

Ju LiuDepartment of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.

Daniel B EnnisStanford Cardiovascular Institute, Stanford, CA, USA.

Alison L MarsdenDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.

Funding

Shear Stress and Light-Sheets to Study Cardiac TrabeculationR01HL129727 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2015 to 2024

$3.5M

A multi-physics simulator for pediatric cardiac surgical planningR01HL173845 · NHLBI · STANFORD UNIVERSITY · PI Daniel B Ennis, MICHAEL MA · 2024 to 2026

$2.3M

Integrating Volumetric Light-Field with Computational Fluid Dynamics to Study Myocardial Trabeculation and FunctionR01HL159970 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2021 to 2024

$2.0M

NHLBI NIH HHS R01 HL129727NHLBI NIH HHS R01 HL159970NHLBI NIH HHS R01 HL173845

6 · The paper itself

Abstract

Patient-specific computational models of the heart are powerful tools for cardiovascular research and medicine, with demonstrated applications in treatment planning, device evaluation, and surgical decision-making. Yet constructing such models is inherently difficult, reflecting the extraordinary complexity of the heart itself. Numerous considerations are required, including reconstructing the anatomy from medical images, representing myocardial mesostructure, capturing material behavior, defining model geometry and boundary conditions, coupling multiple physics, and selecting numerical methods. Many of these choices involve a tradeoff between physiological fidelity and modeling complexity. In this review, we summarize recent advances and unresolved questions in each of these areas, with particular emphasis on cardiac tissue mechanics. We argue that clarifying which complexities are essential, and which can be safely simplified, will be key to enabling clinical translation of these models.

Indexed as

Cardiac digital twinCardiac mechanicsComputational cardiologyMultiphysics modelingPatient-specific modeling

Identifiers

PMID40964080

PMCPMC12440063

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.