Evidence map›Paper›PMID 28879577›Full record

ArticleBiomechanics and modeling in mechanobiology2018

Models and tissue mimics for brain shift simulations.

Antonio E Forte, Stefano Galvan, Daniele Dini

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. A MinireviewFrontiers in bioengineering and biotechnology · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. 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

3 authors.

Antonio E ForteDepartment of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK. antonio.forte10@imperial.ac.uk.
Stefano GalvanDepartment of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
Daniele DiniDepartment of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.

Funding

Engineering and Physical Sciences Research Council EP/K503733/1Engineering and Physical Sciences Research Council EP/N025954/Seventh Framework Programme (BE) FP7-ICT-2009-6-270460Taiho Kogyo Tribology Research Foundation 13B04
6 · The paper itself

Abstract

Capturing the deformation of human brain during neurosurgical operations is an extremely important task to improve the accuracy or surgical procedure and minimize permanent damage in patients. This study focuses on the development of an accurate numerical model for the prediction of brain shift during surgical procedures and employs a tissue mimic recently developed to capture the complexity of the human tissue. The phantom, made of a composite hydrogel, was designed to reproduce the dynamic mechanical behaviour of the brain tissue in a range of strain rates suitable for surgical procedures. The use of a well-controlled, accessible and MRI compatible alternative to real brain tissue allows us to rule out spurious effects due to patient geometry and tissue properties variability, CSF amount uncertainties, and head orientation. The performance of different constitutive descriptions is evaluated using a brain-skull mimic, which enables 3D deformation measurements by means of MRI scans. Our combined experimental and numerical investigation demonstrates the importance of using accurate constitutive laws when approaching the modelling of this complex organic tissue and supports the proposal of a hybrid poro-hyper-viscoelastic material formulation for the simulation of brain shift.

Indexed as

Computer SimulationBrainHumansHydrogel, Polyethylene Glycol DimethacrylateMagnetic Resonance ImagingModels, BiologicalPhantoms, ImagingHydrogel, Polyethylene Glycol DimethacrylateBiomechanicsBrain phantomBrain tissueFE modellingImage-guided surgerySoft tissue

Identifiers

PMID28879577
PMCPMC5807478

What OpenQuestion holds

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LicenceCC BY
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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.