Evidence map›Paper›PMID 35224711›Full record

ArticleJournal of mathematical biology2022

Macro-scale models for fluid flow in tumour tissues: impact of microstructure properties.

Cristina Vaghi, Raphaëlle Fanciullino, Sébastien Benzekry, Clair Poignard

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of mathematical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Cristina VaghiTeam MONC, Inria, Institut de Mathématiques de Bordeaux, CNRS, Bordeaux INP, Univ. Bordeaux, Bordeaux, France.
Raphaëlle FanciullinoSMARTc, CRCM Inserm UMR1068, CNRS UMR7258, Aix Marseille University, Marseille, France.
Sébastien BenzekryTeam MONC, Inria, Institut de Mathématiques de Bordeaux, CNRS, Bordeaux INP, Univ. Bordeaux, Bordeaux, France.
Clair PoignardTeam MONC, Inria, Institut de Mathématiques de Bordeaux, CNRS, Bordeaux INP, Univ. Bordeaux, Bordeaux, France. clair.poignard@inria.fr.ORCID 0000-0002-7555-3828
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamics underlying fluid transport in tumour tissues is of fundamental importance to assess processes of drug delivery. Here, we analyse the impact of the tumour microscopic properties on the macroscopic dynamics of vascular and interstitial fluid flow. More precisely, we investigate the impact of the capillary wall permeability and the hydraulic conductivity of the interstitium on the macroscopic model arising from formal asymptotic 2-scale techniques. The homogenization technique allows us to derive two macroscale tissue models of fluid flow that take into account the microscopic structure of the vessels and the interstitial tissue. Different regimes were derived according to the magnitude of the vessel wall permeability and the interstitial hydraulic conductivity. Importantly, we provide an analysis of the properties of the models and show the link between them. Numerical simulations were eventually performed to test the models and to investigate the impact of the microstructure on the fluid transport. Future applications of our models include their calibration with real imaging data to investigate the impact of the tumour microenvironment on drug delivery.

Indexed as

Models, BiologicalNeoplasmsBiological TransportExtracellular FluidHumansTumor MicroenvironmentFluid flow in tumoursInterstitial fluid pressureTumour microscopic structureTwo-scale homogenisation

Identifiers

PMID35224711
OpenAlexW4220775942

What OpenQuestion holds

Textmetadata
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.