Evidence map›Paper›PMID 28181817›Full record

ArticleDrug delivery2017

Mathematical modeling of intraperitoneal drug delivery: simulation of drug distribution in a single tumor nodule.

Margo Steuperaert, Giuseppe Falvo D'Urso Labate, Charlotte Debbaut, Olivier De Wever, Christian Vanhove, Wim Ceelen, Patrick Segers

Open access · goldAbstract readComparative Study
In one paragraph

Article in Drug delivery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 81 citations in OpenAlex.

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  5. 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

7 authors at 4 institutions in 3 countries.

Margo Steuperaerta Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems, iMinds Medical IT Department, Ghent University , Ghent , Belgium.
Giuseppe Falvo D'Urso Labateb Department of Environmental and Chemical Engineering , University of Calabria , Rende , CS , Italy.
Charlotte Debbauta Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems, iMinds Medical IT Department, Ghent University , Ghent , Belgium.
Olivier De Weverc Department of Radiation Oncology and Experimental Cancer Research.
Christian Vanhoved Infinity (iMinds-IBiTech-MEDISIP), Department of Electronics and Information Systems , and.
Wim Ceelene Department of Surgery, Cancer Research Institute Ghent (CRIG), Ghent University , Ghent , Belgium.
Patrick Segersa Biofluid, Tissue and Solid Mechanics for Medical Applications (bioMMeda), Department of Electronics and Information Systems, iMinds Medical IT Department, Ghent University , Ghent , Belgium.
iMinds · BECancer Research Institute Ghent · BEInfinity (United States) · USUniversity of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intraperitoneal (IP) administration of chemotherapy is an alternative treatment for peritoneal carcinomatosis, allowing for higher intratumor concentrations of the cytotoxic agent compared to intravenous administration. Nevertheless, drug penetration depths are still limited to a few millimeters. It is thus necessary to better understand the limiting factors behind this poor penetration in order to improve IP chemotherapy delivery. By developing a three-dimensional computational fluid dynamics (CFD) model for drug penetration in a tumor nodule, we investigated the impact of a number of key parameters on the drug transport and penetration depth during IP chemotherapy. Overall, smaller tumors showed better penetration than larger ones, which could be attributed to the lower IFP in smaller tumors. Furthermore, the model demonstrated large improvements in penetration depth by subjecting the tumor nodules to vascular normalization therapy, and illustrated the importance of the drug that is used for therapy. Explicitly modeling the necrotic core had a limited effect on the simulated penetration. Similarly, the penetration depth remained virtually constant when the Darcy permeability of the tissue changed. Our findings illustrate that the developed parametrical CFD model is a powerful tool providing more insight in the drug transport and penetration during IP chemotherapy.

Indexed as

Computer SimulationModels, BiologicalAntineoplastic AgentsDiffusionHumansHydrodynamicsInjections, IntraperitonealNecrosisNumerical Analysis, Computer-AssistedPeritoneal NeoplasmsPermeabilityTissue DistributionTumor BurdenAntineoplastic Agentscarcinomatosiscomputational fluid dynamicsDrug transportintraperitoneal chemotherapy

Identifiers

PMID28181817
PMCPMC8240979
OpenAlexW2586409664

What OpenQuestion holds

Textmetadata
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.