Evidence map›Paper›PMID 33836475›Full record

ArticleJournal of the mechanical behavior of biomedical materials2021

Inverse modeling framework for characterizing patient-specific microstructural changes in the pulmonary arteries.

Reza Pourmodheji, Zhenxiang Jiang, Christopher Tossas-Betancourt, C Alberto Figueroa, Seungik Baek, Lik-Chuan Lee

Open access · greenAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Uncertainty quantification in subject-specific estimation of local vessel mechanical properties.International journal for numerical methods in biomedical engineering · 2021
    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 at 2 institutions in 1 country.

Reza PourmodhejiDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: pourmodh@egr.msu.edu.
Zhenxiang JiangDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Christopher Tossas-BetancourtDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
C Alberto FigueroaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Seungik BaekDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Lik-Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Michigan State University · USUniversity of Michigan · US

Funding

Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary HypertensionU01HL135842 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAEK, SEUNGIK, DORFMAN, ADAM LEE · 2017 to 2020
$2.3M
NHLBI NIH HHS U01 HL135842
6 · The paper itself

Abstract

Microstructural changes in the pulmonary arteries associated with pulmonary arterial hypertension (PAH) is not well understood and characterized in humans. To address this issue, we developed and applied a patient-specific inverse finite element (FE) modeling framework to characterize mechanical and structural changes of the micro-constituents in the proximal pulmonary arteries using in-vivo pressure measurements and magnetic resonance images. The framework was applied using data acquired from a pediatric PAH patient and a heart transplant patient with normal pulmonary arterial pressure, which serves as control. Parameters of a constrained mixture model that are associated with the structure and mechanical properties of elastin, collagen fibers and smooth muscle cells were optimized to fit the patient-specific pressure-diameter responses of the main pulmonary artery. Based on the optimized parameters, individual stress and linearized stiffness resultants of the three tissue constituents, as well as their aggregated values, were estimated in the pulmonary artery. Aggregated stress resultant and stiffness are, respectively, 4.6 and 3.4 times higher in the PAH patient than the control subject. Stress and stiffness resultants of each tissue constituent are also higher in the PAH patient. Specifically, the mean stress resultant is highest in elastin (PAH: 69.96, control: 14.42 kPa-mm), followed by those in smooth muscle cell (PAH: 13.95, control: 4.016 kPa-mm) and collagen fibers (PAH: 13.19, control: 2.908 kPa-mm) in both the PAH patient and the control subject. This result implies that elastin may be the key load-bearing constituent in the pulmonary arteries of the PAH patient and the control subject.

Indexed as

ElastinPulmonary ArteryChildHumansLungMyocytes, Smooth MuscleElastinInverse finite elementPulmonary arterial hypertensionPulmonary vascular stiffnessVascular remodeling

Identifiers

PMID33836475
PMCPMC9164503
OpenAlexW3149365092

What Socratic 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 Socratic graph.