Evidence map›Paper›PMID 36135582›Full record

ReviewJournal of functional biomaterials2022

Image-Based Finite Element Modeling Approach for Characterizing In Vivo Mechanical Properties of Human Arteries.

Liang Wang, Akiko Maehara, Rui Lv, Xiaoya Guo, Jie Zheng, Kisten L Billiar, Gary S Mintz, Dalin Tang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of functional biomaterials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Inverse finite element identification of murine aortic material properties:Computer methods in biomechanics and biomedical engineering · 2025
    Article
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  3. Article
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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

8 authors at 6 institutions in 2 countries.

Liang WangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Akiko MaeharaThe Cardiovascular Research Foundation, Columbia University, New York, NY 10019, USA.
Rui LvSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Xiaoya GuoSchool of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Jie ZhengMallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA.
Kisten L BilliarDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Gary S MintzThe Cardiovascular Research Foundation, Columbia University, New York, NY 10019, USA.
Dalin TangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Southeast University · CNCardiovascular Research Foundation · USColumbia University · USMallinckrodt (United States) · USNanjing University of Posts and Telecommunications · CNWorcester Polytechnic Institute · US

Funding

Fundamental Research Funds for the Central Universities 2242021R41123Jiangsu Province Science and Technology Agency BE2016785National Natural Science Foundation of China 11802060National Natural Science Foundation of China 11972117Natural Science Foundation of Jiangsu Province BK20180352
6 · The paper itself

Abstract

Mechanical properties of the arterial walls could provide meaningful information for the diagnosis, management and treatment of cardiovascular diseases. Classically, various experimental approaches were conducted on dissected arterial tissues to obtain their stress-stretch relationship, which has limited value clinically. Therefore, there is a pressing need to obtain biomechanical behaviors of these vascular tissues in vivo for personalized treatment. This paper reviews the methods to quantify arterial mechanical properties in vivo. Among these methods, we emphasize a novel approach using image-based finite element models to iteratively determine the material properties of the arterial tissues. This approach has been successfully applied to arterial walls in various vascular beds. The mechanical properties obtained from the in vivo approach were compared to those from ex vivo experimental studies to investigate whether any discrepancy in material properties exists for both approaches. Arterial tissue stiffness values from in vivo studies generally were in the same magnitude as those from ex vivo studies, but with lower average values. Some methodological issues, including solution uniqueness and robustness; method validation; and model assumptions and limitations were discussed. Clinical applications of this approach were also addressed to highlight their potential in translation from research tools to cardiovascular disease management.

Indexed as

arterial material propertiesfinite element updating approachin vivomaterial parameters estimation

Identifiers

PMID36135582
PMCPMC9505727
OpenAlexW4295540222

What Socratic 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 Socratic graph.