Evidence map›Paper›PMID 30929523›Full record

ArticleDrug delivery2019

A 3D CFD model of the interstitial fluid pressure and drug distribution in heterogeneous tumor nodules during intraperitoneal chemotherapy.

Margo Steuperaert, Charlotte Debbaut, Charlotte Carlier, Olivier De Wever, Benedicte Descamps, Christian Vanhove, Wim Ceelen, Patrick Segers

Open access · goldAbstract read
In one paragraph

Article in Drug delivery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 50 citations in OpenAlex.

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  10. Hydraulic conductivity of human cancer tissue: A hybrid study.Bioengineering & translational medicine · 2024
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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

8 authors at 1 institution in 1 country.

Margo Steuperaerta Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems , Ghent University , Ghent , Belgium.
Charlotte Debbauta Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0003-1962-238X
Charlotte Carlierb Departement of GI Surgery and Cancer Research Institute Ghent (CRIG) , Ghent University , Ghent , Belgium.
Olivier De Weverc Department of Human Structure and Repair , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0002-5453-760X
Benedicte Descampsd Infinity (iMinds-IBiTech-MEDISIP), Department of Electronics and Information Systems , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0001-8879-1772
Christian Vanhoved Infinity (iMinds-IBiTech-MEDISIP), Department of Electronics and Information Systems , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0002-3988-5980
Wim Ceelenb Departement of GI Surgery and Cancer Research Institute Ghent (CRIG) , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0001-7692-4419
Patrick Segersa Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems , Ghent University , Ghent , Belgium.ORCID http://orcid.org/0000-0003-3870-3409
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although intraperitoneal chemotherapy (IPC) has evolved into an established treatment modality for patients with peritoneal metastasis (PM), drug penetration into tumor nodules remains limited. Drug transport during IPC is a complex process that depends on a large number of different parameters (e.g. drug, dose, tumor size, tumor pressure, tumor vascularization). Mathematical modeling allows for a better understanding of the processes that underlie drug transport and the relative importance of the parameters influencing it. In this work, we expanded our previously developed 3D Computational Fluid Dynamics (CFD) model of the drug mass transport in idealized tumor nodules during IP chemotherapy to include realistic tumor geometries and spatially varying vascular properties. DCE-MRI imaging made it possible to distinguish between tumorous tissues, healthy surrounding tissues and necrotic zones based on differences in the vascular properties. We found that the resulting interstitial pressure profiles within tumors were highly dependent on the irregular geometries and different zones. The tumor-specific cisplatin penetration depths ranged from 0.32 mm to 0.50 mm. In this work, we found that the positive relationship between tumor size and IFP does not longer hold in the presence of zones with different vascular properties, while we did observe a positive relationship between the percentage of viable tumor tissue and the maximal IFP. Our findings highlight the importance of incorporating both the irregular tumor geometries and different vascular zones in CFD models of IPC.

Indexed as

HydrodynamicsModels, TheoreticalAnimalsAntineoplastic AgentsBiological TransportCell Line, TumorCisplatinFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMiceMice, NudeNeovascularization, PathologicPeritoneal NeoplasmsTissue DistributionAntineoplastic AgentsCisplatincomputational fluid dynamicsDCE-MRIDrug transportinterstitial fluid pressureintraperitoneal chemotherapy

Identifiers

PMID30929523
PMCPMC6450529
OpenAlexW2927180526

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.