Evidence map›Paper›PMID 30413984›Full record

ArticleBiomechanics and modeling in mechanobiology2019

On the computation of in vivo transmural mean stress of patient-specific aortic wall.

Minliang Liu, Liang Liang, Haofei Liu, Ming Zhang, Caitlin Martin, Wei Sun

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  6. Article
  7. An image-based approach for the estimation of arterial local stiffnessFrontiers in bioengineering and biotechnology · 2023
    Article
  8. Article
  9. Article
  10. Estimation ofComputer methods in applied mechanics and engineering · 2019
    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

6 authors.

Minliang LiuTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Technology Enterprise Park, Room 206, 387 Technology Circle, Atlanta, GA, 30313-2412, USA.
Liang LiangTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Technology Enterprise Park, Room 206, 387 Technology Circle, Atlanta, GA, 30313-2412, USA.
Haofei LiuDepartment of Mechanics, Tianjin University, 92 Weijin Road, Tianjin, 300072, China.
Ming ZhangDepartment of Mechanics, Tianjin University, 92 Weijin Road, Tianjin, 300072, China.
Caitlin MartinTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Technology Enterprise Park, Room 206, 387 Technology Circle, Atlanta, GA, 30313-2412, USA.
Wei SunTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Technology Enterprise Park, Room 206, 387 Technology Circle, Atlanta, GA, 30313-2412, USA. wei.sun@bme.gatech.edu.

Funding

Probabilistic Modeling of Stenotic Aortic Valve InterventionR01HL104080 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI SUN, WEI · 2011 to 2015
$1.9M
A novel computing framework to automatically process cardiac valve image data and predict treatment outcomesR01HL142036 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GLEASON, RUDOLPH L · 2018 to 2021
$1.5M
Biomechanical study on aortic-mitral coupling in transcatheter aortic valve replacementR21HL127570 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI SUN, WEI · 2016 to 2017
$441k
National Heart, Lung, and Blood Institute HL104080National Heart, Lung, and Blood Institute HL127570NHLBI NIH HHS R01 HL104080NHLBI NIH HHS R01 HL142036NHLBI NIH HHS R21 HL127570
6 · The paper itself

Abstract

It is well known that residual deformations/stresses alter the mechanical behavior of arteries, e.g., the pressure-diameter curves. In an effort to enable personalized analysis of the aortic wall stress, approaches have been developed to incorporate experimentally derived residual deformations into in vivo loaded geometries in finite element simulations using thick-walled models. Solid elements are typically used to account for "bending-like" residual deformations. Yet, the difficulty in obtaining patient-specific residual deformations and material properties has become one of the biggest challenges of these thick-walled models. In thin-walled models, fortunately, static determinacy offers an appealing prospect that allows for the calculation of the thin-walled membrane stress without patient-specific material properties. The membrane stress can be computed using forward analysis by enforcing an extremely stiff material property as penalty treatment, which is referred to as the forward penalty approach. However, thin-walled membrane elements, which have zero bending stiffness, are incompatible with the residual deformations, and therefore, it is often stated as a limitation of thin-walled models. In this paper, by comparing the predicted stresses from thin-walled models and thick-walled models, we demonstrate that the transmural mean stress is approximately the same for the two models and can be readily obtained from in vivo clinical images without knowing the patient-specific material properties and residual deformations. Computation of patient-specific mean stress can be greatly simplified by using the forward penalty approach, which may be clinically valuable.

Indexed as

Models, CardiovascularStress, MechanicalAortaFinite Element AnalysisHumansProbabilityForward penalty approachMembrane stressResidual stressTransmural mean stress

Identifiers

PMID30413984
PMCPMC6420364

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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.