Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data

Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data

Tumor-associated vasculature is responsible for the delivery of nutrients, removal of waste, and allowing growth beyond 2–3 mm<sup>3</sup>. Additionally, the vascular network, which is changing in both space and time, fundamentally influences tumor response to both systemic and radiation...

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Bibliographic Details
Main Authors: David A. Hormuth, Caleb M. Phillips, Chengyue Wu, Ernesto A. B. F. Lima, Guillermo Lorenzo, Prashant K. Jha, Angela M. Jarrett, J. Tinsley Oden, Thomas E. Yankeelov
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
computational oncology
magnetic resonance imaging
perfusion
partial differential equations
confocal microscopy
systems biology
Online Access:https://www.mdpi.com/2072-6694/13/12/3008

Internet

https://www.mdpi.com/2072-6694/13/12/3008

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