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Related Concept Videos

Methods for Studying Drug Absorption: In vitro01:16

Methods for Studying Drug Absorption: In vitro

In vitro experiments are crucial for understanding the transport and absorption of drugs through biological materials. These studies employ varied methods such as the diffusion cell method, the everted sac technique, and the everted ring technique.
The diffusion cell method uses a two-compartment cell, including a donor compartment with the drug solution, which simulates the environment where the drug is applied, and a receptor compartment with a buffer solution, which simulates the environment...

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A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment
10:23

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Published on: December 1, 2023

Simulating drug penetration during hyperthermic intraperitoneal chemotherapy.

Daan R Löke1, Roxan F C P A Helderman1,2, Nicolaas A P Franken1,2

  • 1Department of Radiation Oncology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Drug Delivery
|January 11, 2021
PubMed
Summary

Hyperthermic intraperitoneal chemotherapy (HIPEC) can be improved by optimizing drug delivery. Computational models show temperature and flow velocity are key to treating tumors effectively and reducing recurrence risk.

Keywords:
Hyperthermic intrapertioneal chemotherapy (HIPEC)cancer biologycomputational fluid dynamics (CFD)computational modelingdrug dynamicsinterstitial fluidpressure (IFP)treatment planning software

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Area of Science:

  • Oncology
  • Biomedical Engineering
  • Computational Fluid Dynamics

Background:

  • Hyperthermic intraperitoneal chemotherapy (HIPEC) treats microscopic disease post-surgery.
  • Current HIPEC methods can create uneven drug distribution (heterogeneities) in the abdomen.
  • These heterogeneities may lead to undertreated areas and increase cancer recurrence risk.

Purpose of the Study:

  • To investigate the extent of heterogeneities during HIPEC treatments.
  • To assess the impact of these heterogeneities on HIPEC efficacy.
  • To identify key parameters influencing drug distribution and treatment effectiveness.

Main Methods:

  • Developed a 3D computational fluid dynamics (CFD) model simulating peritoneal conditions with embedded tumor nodules.
  • Assessed parameters like tumor size, shape, fluid velocity, temperature, and chemotherapy dose.
  • Used cisplatin IC50 values from clonogenic assays on RKO colorectal cell lines for model validation.

Main Results:

  • Larger tumor nodules were found to be more challenging to treat effectively.
  • Temperature and flow velocity significantly impact drug distribution and penetration depth.
  • Optimal cisplatin delivery occurred at moderate flow velocities (0.01-1 m/s); higher temperatures and doses increased penetration.

Conclusions:

  • Computational modeling is crucial for understanding and optimizing HIPEC drug delivery.
  • Controlling temperature and flow velocity is essential for maximizing HIPEC effectiveness.
  • Future work aims to develop patient-specific software for planning and improving HIPEC treatments.