Computational modeling of perfusion in dense solid tumors

TL;DR

This paper presents a computational model to analyze blood perfusion in dense solid tumors, aiming to improve clinical diagnosis and personalized treatment strategies by understanding blood flow dynamics.

Contribution

It introduces a novel systematic computational framework for modeling blood perfusion in solid tumors, focusing on physical factors affecting blood penetration.

Findings

Identifies key physical factors influencing blood flow in tumors

Provides a basis for developing objective diagnostic tools

Supports personalized treatment planning

Abstract

Tracking and characterizing the blood uptake process within solid pancreatic tumors and the subsequent spatio-temporal distribution of red blood cells are critical to the clinical diagnosis of the cancer. This systematic computational study of physical factors, affecting the percolation and penetration of blood into a solid tumor, can assist in the development of a new objective clinical diagnosis approach and a framework for personalized targeted drugs.