Abstract
An overview of radiotherapy (RT) induced normal tissue complication probability (NTCP) models is presented. NTCP models based on empirical and mechanistic approaches that describe a specific radiation induced late effect proposed over time for conventional RT are reviewed with particular emphasis on their basic assumptions and related mathematical translation and their weak and strong points.
| Original language | English |
|---|---|
| Article number | 2796186 |
| Journal | Computational and Mathematical Methods in Medicine |
| Volume | 2016 |
| DOIs | |
| Publication status | Published - 2016 |
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ASJC Scopus subject areas
- Medicine(all)
- Modelling and Simulation
- Immunology and Microbiology(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Applied Mathematics
Cite this
Modeling Radiotherapy Induced Normal Tissue Complications : An Overview beyond Phenomenological Models. / D'Andrea, Marco; Benassi, Marcello; Strigari, Lidia.
In: Computational and Mathematical Methods in Medicine, Vol. 2016, 2796186, 2016.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Modeling Radiotherapy Induced Normal Tissue Complications
T2 - An Overview beyond Phenomenological Models
AU - D'Andrea, Marco
AU - Benassi, Marcello
AU - Strigari, Lidia
PY - 2016
Y1 - 2016
N2 - An overview of radiotherapy (RT) induced normal tissue complication probability (NTCP) models is presented. NTCP models based on empirical and mechanistic approaches that describe a specific radiation induced late effect proposed over time for conventional RT are reviewed with particular emphasis on their basic assumptions and related mathematical translation and their weak and strong points.
AB - An overview of radiotherapy (RT) induced normal tissue complication probability (NTCP) models is presented. NTCP models based on empirical and mechanistic approaches that describe a specific radiation induced late effect proposed over time for conventional RT are reviewed with particular emphasis on their basic assumptions and related mathematical translation and their weak and strong points.
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UR - http://www.scopus.com/inward/citedby.url?scp=85006175166&partnerID=8YFLogxK
U2 - 10.1155/2016/2796186
DO - 10.1155/2016/2796186
M3 - Review article
VL - 2016
JO - Computational and Mathematical Methods in Medicine
JF - Computational and Mathematical Methods in Medicine
SN - 1748-670X
M1 - 2796186
ER -