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Related Concept Videos

Applications of Integration to Find Blood Flow01:27

Applications of Integration to Find Blood Flow

Blood flow through a cylindrical blood vessel can be mathematically described using the principles of laminar flow, a regime in which fluid moves smoothly in parallel layers. In this model, the velocity of the blood is not uniform across the cross-section of the vessel; rather, it varies with the radial distance from the center. The maximum velocity occurs along the central axis, decreasing progressively toward the vessel walls, where it reaches zero due to viscous drag.Approximating Blood...

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Computational Fluid Dynamics Simulations to Inform Cancer Therapeutics.

Emilie Roncali1,2, Amirtahà Taebi3

  • 1Department of Biomedical Engineering, University of California, Davis, California, USA.

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Computational fluid dynamics (CFD) models blood flow for cancer therapies like transarterial embolization. CFD helps optimize drug delivery and radiation dose, paving the way for personalized cancer treatment.

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Area of Science:

  • Biomedical Engineering
  • Computational Science
  • Oncology

Background:

  • Effective drug and radiation delivery via bloodstream is crucial for cancer therapies.
  • Understanding particle transport in blood and tissue is essential for treatment optimization.
  • Computational fluid dynamics (CFD) simulates blood flow and drug transport under realistic conditions.

Purpose of the Study:

  • To review applications of CFD in cancer therapy.
  • To explore CFD's role in transarterial embolization, tumor perfusion, and organ-on-a-chip systems.
  • To identify challenges and opportunities for integrating CFD in cancer treatment.

Main Methods:

  • Review of existing literature on CFD applications in cancer therapy.
  • Analysis of CFD's utility in predicting microsphere transport and dose distribution for radioembolization.
  • Examination of CFD's role in modeling tumor perfusion and vascular dynamics in organ-on-a-chip systems.

Main Results:

  • CFD aids in predicting microsphere transport and dose distribution in radioembolization, helping to spare vital organs.
  • CFD modeling enhances understanding of tumor perfusion and drug dispersion in vascular systems.
  • CFD is valuable for simulating biological processes in organ-on-a-chip models.

Conclusions:

  • CFD is a versatile tool for optimizing cancer therapies by simulating blood flow and drug transport.
  • Challenges include data requirements, computational cost, and multiscale modeling.
  • Integrating CFD with imaging and AI offers future potential for personalized cancer treatment.