Evidence map›Paper›PMID 32031302›Full record

ArticleInternational journal for numerical methods in biomedical engineering2020

A four-compartment multiscale model of fluid and drug distribution in vascular tumours.

Rebecca J Shipley, Paul W Sweeney, Stephen J Chapman, Tiina Roose

Open access · hybridAbstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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  7. A four-compartment multiscale model of fluid and drug distribution in vascular tumours.International journal for numerical methods in biomedical engineering · 2020
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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

4 authors at 3 institutions in 2 countries.

Rebecca J ShipleyDepartment of Mechanical Engineering, University College London, London, UK.ORCID 0000-0002-2818-6228
Paul W SweeneyDepartment of Mechanical Engineering, University College London, London, UK.ORCID 0000-0003-3385-0696
Stephen J ChapmanOxford Centre for Industrial and Applied Mathematics, Mathematical Institute, Oxford, UK.
Tiina RooseSchool of Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
University College London · GBMathematical Institute of the Slovak Academy of Sciences · SKUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subtle relationship between vascular network structure and mass transport is vital to predict and improve the efficacy of anticancer treatments. Here, mathematical homogenisation is used to derive a new multiscale continuum model of blood and chemotherapy transport in the vasculature and interstitium of a vascular tumour. This framework enables information at a range of vascular hierarchies to be fed into an effective description on the length scale of the tumour. The model behaviour is explored through a demonstrative case study of a simplified representation of a dorsal skinfold chamber, to examine the role of vascular network architecture in influencing fluid and drug perfusion on the length scale of the chamber. A single parameter, P, is identified that relates tumour-scale fluid perfusion to the permeability and density of the capillary bed. By fixing the topological and physiological properties of the arteriole and venule networks, an optimal value for P is identified, which maximises tumour fluid transport and is thus hypothesised to benefit chemotherapy delivery. We calculate the values for P for eight explicit network structures; in each case, vascular intervention by either decreasing the permeability or increasing the density of the capillary network would increase fluid perfusion through the cancerous tissue. Chemotherapeutic strategies are compared and indicate that single injection is consistently more successful compared with constant perfusion, and the model predicts optimal timing of a second dose. These results highlight the potential of computational modelling to elucidate the link between vascular architecture and fluid, drug distribution in tumours.

Indexed as

Models, TheoreticalComputer SimulationDrug TherapyHumansVascular Neoplasmscancerchemotherapyhomogenisationmathematical modellingvasculature

Identifiers

PMID32031302
PMCPMC7187161
OpenAlexW3005058752

What OpenQuestion holds

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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 OpenQuestion graph.