2017
DOI: 10.15406/ijrrt.2017.04.00089
|View full text |Cite
|
Sign up to set email alerts
|

The Statistical Models Project (SMp) in Optimization of Radiotherapy Treatments

Abstract: Introduction: The RT optimization process is based on iterative evaluations, where you find the best treatment aimed to obtain the major TCP without violating preestablished complications for the normal tissues. The optimization can be done varying the values of the imparted dose, number of the fractions or inter-fraction times, which is the method used by the radiobiological (RB) software; or varying the DVHs how is used by the biologically based TPS (BBTPSs) in their IMRT planning inverse modules. The statis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…The determinations of BRE will allow being used in the general expressions of the SMp TCP/NTCP models as independent variables instead dose variables, and in the computational-biological simulators that calculate TCP/NTCP without employing formulas of these radiobiological indices, but by using the own probabilistic definitions of these based on BRE criteria. These formalisms will allow developing simulations for n fractions with better results than those obtained in [18,19] where K and SL were used for only one fraction; as well as together the regional damage distribution for optimizations of the treatment planning how is described [20].…”
Section: The Biological Radiation Effectmentioning
confidence: 99%
“…The determinations of BRE will allow being used in the general expressions of the SMp TCP/NTCP models as independent variables instead dose variables, and in the computational-biological simulators that calculate TCP/NTCP without employing formulas of these radiobiological indices, but by using the own probabilistic definitions of these based on BRE criteria. These formalisms will allow developing simulations for n fractions with better results than those obtained in [18,19] where K and SL were used for only one fraction; as well as together the regional damage distribution for optimizations of the treatment planning how is described [20].…”
Section: The Biological Radiation Effectmentioning
confidence: 99%