Unbound MEDLINE

Monte Carlo simulation-based approach to model the size distribution of metastatic tumors.

Abstract

The size distribution of metastatic tumors and its time evolution are traditionally described by integrodifferential equations and stochastic models. Here we develop a simple Monte Carlo approach in which each event of metastasis is treated as a chance event through random-number generation. We demonstrate the accuracy of this approach on a specific growth and metastasis model by showing that it quantitatively reproduces the size distribution and the total number of tumors as a function of time. The approach also yields statistical distribution of patient-to-patient variations, and has the flexibility to incorporate many real-life complexities.

Authors

Maiti E

Source

Physical review. E, Statistical, nonlinear, and soft matter physics 85:1 Pt 1 2012 Jan pg 012901

MeSH

Cell Proliferation
Cell Size
Computer Simulation
Humans
Models, Biological
Models, Statistical
Monte Carlo Method
Neoplasm Invasiveness
Neoplasm Metastasis
Nonlinear Dynamics

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22400608