Evidence map›Paper›PMID 31614845›Full record

ReviewMaterials (Basel, Switzerland)2019

Utilization of Finite Element Analysis for Articular Cartilage Tissue Engineering.

Chaudhry R Hassan, Yi-Xian Qin, David E Komatsu, Sardar M Z Uddin

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 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
  2. Review
  3. Review
  4. Article
  5. Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics.IEEE open journal of engineering in medicine and biology · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

4 authors.

Chaudhry R HassanDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. Chaudhry.Hassan@stonybrook.edu.
Yi-Xian QinDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. Yi-Xian.Qin@stonybrook.edu.
David E KomatsuDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY 11794, USA. david.komatsu@stonybrookmedicine.edu.
Sardar M Z UddinDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY 11794, USA. sardar.uddin@stonybrookmedicine.edu.

Funding

Foundation for the National Institutes of Health R01AR052379 & R01AR61821, YXQ
6 · The paper itself

Abstract

Scaffold design plays an essential role in tissue engineering of articular cartilage by providing the appropriate mechanical and biological environment for chondrocytes to proliferate and function. Optimization of scaffold design to generate tissue-engineered cartilage has traditionally been conducted using in-vitro and in-vivo models. Recent advances in computational analysis allow us to significantly decrease the time and cost of scaffold optimization using finite element analysis (FEA). FEA is an in-silico analysis technique that allows for scaffold design optimization by predicting mechanical responses of cells and scaffolds under applied loads. Finite element analyses can potentially mimic the morphology of cartilage using mesh elements (tetrahedral, hexahedral), material properties (elastic, hyperelastic, poroelastic, composite), physiological loads by applying loading conditions (static, dynamic), and constitutive stress-strain equations (linear, porous-elastic, biphasic). Furthermore, FEA can be applied to the study of the effects of dynamic loading, material properties cell differentiation, cell activity, scaffold structure optimization, and interstitial fluid flow, in isolated or combined multi-scale models. This review covers recent studies and trends in the use of FEA for cartilage tissue engineering and scaffold design.

Indexed as

articular cartilagefinite element analysisscaffold designtissue engineering

Identifiers

PMID31614845
PMCPMC6829543

What OpenQuestion holds

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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.