Modeling the propagation of tumor fronts with shortest path and diffusion models-implications for the definition of the clinical target volume

Phys Med Biol. 2022 Jul 25;67(15):10.1088/1361-6560/ac8043. doi: 10.1088/1361-6560/ac8043.

Abstract

Objective.The overarching objective is to make the definition of the clinical target volume (CTV) in radiation oncology less subjective and more scientifically based. The specific objective of this study is to investigate similarities and differences between two methods that model tumor spread beyond the visible gross tumor volume (GTV): (1) the shortest path model, which is the standard method of adding a geometric GTV-CTV margin, and (2) the reaction-diffusion model.Approach.These two models to capture the invisible tumor 'fire front' are defined and compared in mathematical terms. The models are applied to example cases that represent tumor spread in non-uniform and anisotropic media with anatomical barriers.Main results.The two seemingly disparate models bring forth traveling waves that can be associated with the front of tumor growth outward from the GTV. The shape of the fronts is similar for both models. Differences are seen in cases where the diffusive flow is reduced due to anatomical barriers, and in complex spatially non-uniform cases. The diffusion model generally leads to smoother fronts. The smoothness can be controlled with a parameter defined by the ratio of the diffusion coefficient and the proliferation rate.Significance.Defining the CTV has been described as the weakest link of the radiotherapy chain. There are many similarities in the mathematical description and the behavior of the common geometric GTV-CTV expansion method, and the definition of the CTV tumor front via the reaction-diffusion model. Its mechanistic basis and the controllable smoothness make the diffusion model an attractive alternative to the standard GTV-CTV margin model.

Keywords: anisotropy; clinical target volume; fast marching method; glioblastoma multiforme; reaction-diffusion model.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Humans
  • Neoplasms* / diagnostic imaging
  • Neoplasms* / radiotherapy
  • Radiation Oncology*
  • Radiotherapy Planning, Computer-Assisted / methods
  • Tumor Burden