Skip to main content
. Author manuscript; available in PMC: 2019 Jan 7.
Published in final edited form as: Converg Sci Phys Oncol. 2018 Jan 3;4(1):015001. doi: 10.1088/2057-1739/aa9e6e

Table 1.

Existing model assumptions.

Model type Assumptions/comments
Exponential growth - Cell number increases proportionally to the number of cells present
- Only output is cell number; does not have spatial information
Reaction diffusion (RD) - Tumor growth is affected by 3 parameters: proliferation rate, diffusion coefficient, and carrying capacity
- Only average cell behaviors are considered
- Cannot resolve individual cell trajectories or cell-cell interactions
Reaction diffusion convection (RDC) - Directed, non-random movement (e.g. chemotaxis) is also considered
- Cannot resolve individual cell trajectories or interactions
Agent based (AB)/individual-cell based lattice - For computational efficiency, cell movements and/or division events are confined to a lattice of specified size
- Interactions below the spatial scale of the lattice cannot be modeled
- Migration is often modeled as cells ‘jumping’ from one lattice location to the next, or otherwise cell movement only occurs after a proliferation event when the new cell occupies a free lattice location
Agent based (AB)/individual-cell based - Individual cells (‘agents’) and their interactions are modeled
- Computationally very expensive
Hybrid AB and RD - Combines the computational speed of RD with the stochasticity of AB models to show relevant activity at the cell and tissue levels