Evidence map›Paper›PMID 32221324›Full record

ArticleScientific reports2020

Towards noninvasive estimation of tumour pressure by utilising MR elastography and nonlinear biomechanical models: a simulation and phantom study.

Daniel Fovargue, Marco Fiorito, Adela Capilnasiu, David Nordsletten, Jack Lee, Ralph Sinkus

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Mechanical models and measurement methods of solid stress in tumors.Applied microbiology and biotechnology · 2024
    Review
  6. Hydraulic conductivity of human cancer tissue: A hybrid study.Bioengineering & translational medicine · 2024
    Article
  7. Imaging in translational cancer research.Cancer biology & medicine · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
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.

Daniel FovargueSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom. daniel.fovargue@kcl.ac.uk.
Marco FioritoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Adela CapilnasiuSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
David NordslettenSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Jack LeeSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Ralph SinkusSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Funding

Wellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

The solid and fluid pressures of tumours are often elevated relative to surrounding tissue. This increased pressure is known to correlate with decreased treatment efficacy and potentially with tumour aggressiveness and therefore, accurate noninvasive estimates of tumour pressure would be of great value. We present a proof-of-concept method to infer the total tumour pressure, that is the sum of the fluid and solid parts, by examining stiffness in the peritumoural tissue with MR elastography and utilising nonlinear biomechanical models. The pressure from the tumour deforms the surrounding tissue leading to changes in stiffness. Understanding and accounting for these biases in stiffness has the potential to enable estimation of total tumour pressure. Simulations are used to validate the method with varying pressure levels, tumour shape, tumour size, and noise levels. Results show excellent matching in low noise cases and still correlate well with higher noise. Percent error remains near or below 10% for higher pressures in all noise level cases. Reconstructed pressures were also calculated from experiments with a catheter balloon embedded in a plastisol phantom at multiple inflation levels. Here the reconstructed pressures generally match the increases in pressure measured during the experiments. Percent errors between average reconstructed and measured pressures at four inflation states are 17.9%, 52%, 23.2%, and 0.9%. Future work will apply this method to in vivo data, potentially providing an important biomarker for cancer diagnosis and treatment.

Indexed as

Biomechanical PhenomenaComputer SimulationElasticity Imaging TechniquesHumansModels, TheoreticalNeoplasmsPhantoms, ImagingPressure

Identifiers

PMID32221324
PMCPMC7101441

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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.