Fractal geometry-governed oxygen diffusion: Tumors vs. Normal Tissues
Neda Valizadeh, Robabeh Rahimi, Ramin Abolfath

TL;DR
This study introduces a fractal geometry-based diffusion model to explain how structural heterogeneity affects oxygen transport in tissues, with implications for understanding tumor versus normal tissue responses under high-dose irradiation.
Contribution
The paper develops an analytical generalized diffusion-reaction model on fractal substrates that captures anomalous transport and heterogeneity effects in biological tissues.
Findings
Increased tissue complexity suppresses long-range transport and enhances localization.
Fractional dynamics induce subdiffusive behavior and non-Gaussian concentration profiles.
Geometric and fractional effects can lead to distinct regimes of tissue transport behavior.
Abstract
{\bf Purpose}: To develop a geometry-governed diffusion framework that explains differential tissue response under FLASH ultra-high dose rate (UHDR) irradiation by explicitly accounting for structural heterogeneity and anomalous transport in biological tissues. {\bf Methods}: We formulate a generalized diffusion--reaction model on fractal substrates to describe molecular transport in heterogeneous media. Tissue architecture is characterized by a fractal (Hausdorff) dimension \(D\), while scale-dependent transport inefficiency and memory effects are captured by a fractional parameter \(\theta\). Analytical solutions for radially symmetric geometries are derived and compared with classical normal (Euclidean) diffusion and a Gaussian reference model under identical physical conditions. Transport behavior is quantified through transient probability distributions and steady-state spatial…
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