Evidence map›Paper›PMID 35638726›Full record

ArticleComputer methods in biomechanics and biomedical engineering2023

A position- and time-dependent pressure profile to model viscoelastic mechanical behavior of the brain tissue due to tumor growth.

Fatemeh Abdolkarimzadeh, Mohammad Reza Ashory, Ahmad Ghasemi-Ghalebahman, Alireza Karimi

Abstract read
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In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2023. 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.

Fatemeh AbdolkarimzadehFaculty of Mechanical Engineering, Semnan University, Semnan, Iran.
Mohammad Reza AshoryFaculty of Mechanical Engineering, Semnan University, Semnan, Iran.
Ahmad Ghasemi-GhalebahmanFaculty of Mechanical Engineering, Semnan University, Semnan, Iran.ORCID 0000-0003-1824-1294
Alireza KarimiDepartment of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

Visual Phenotyping CoreP30EY003039 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Paul Douglas Gamlin · 1985 to 2026
$16.9M
NEI NIH HHS P30 EY003039
6 · The paper itself

Abstract

This study proposed a computational framework to calculate the resultant position- and time-dependent pressure profile on the brain tissue due to tumor growth. A finite element (FE) patch of the brain tissue was constructed and an inverse dynamic FE-optimization algorithm was used to calculate its viscoelastic mechanical properties under compressive uniaxial loading. Two patient-specific post-tumor resection FE models were input to the FE-optimization algorithm to calculate the optimized 3

Indexed as

BrainNeoplasmsElasticityFinite Element AnalysisHumansStress, MechanicalViscosityBrain tumorinverse finite elementoptimizationpressure boundaryviscoelastic

Identifiers

PMID35638726
PMCPMC9708950

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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.