Name
Title | ||
|---|---|---|
Predicting The Influence of Microvascular Structure On Tumour Response to Radiotherapy. |
Abstract | ||
|---|---|---|
Objective: The purpose of this study is to investigate how theoretical predictions of tumor response to radiotherapy (RT) depend on the morphology and spatial representation of the microvascular network. Methods: A hybrid multiscale model, which couples a cellular automaton model of tumor growth with a model for oxygen transport from blood vessels, is used to predict the viable fraction of cells f... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2016.2606563 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Tumors,Biological system modeling,Predictive models,Three-dimensional displays,Cells (biology),Two dimensional displays | Biomedical engineering,Response model,Cellular automaton,Computer science,Microvessel,Tumor hypoxia,Radiation therapy,Spatial representation,Microvascular Network,Oxygen enhancement ratio | Journal |
Volume | Issue | ISSN |
64 | 3 | 0018-9294 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| james a grogan | 1 | 2 | 1.46 |
| Bostjan Markelc | 2 | 3 | 1.40 |
| Anthony Connor | 3 | 1 | 1.04 |
| Ruth J. Muschel | 4 | 3 | 1.74 |
| Joe Pitt-Francis | 5 | 121 | 13.88 |
| Philip K. Maini | 6 | 238 | 36.37 |
| Helen M. Byrne | 7 | 81 | 14.74 |