Compensability index for compensation radiotherapy after treatment interruptions
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BORIS DOI
Publisher DOI
PubMed ID
23216952
Description
Background
The goal of our work was to develop a simple method to evaluate a compensation treatment after unplanned treatment interruptions with respect to their tumour- and normal tissue effect.
Methods
We developed a software tool in java programming language based on existing recommendations to compensate for treatment interruptions. In order to express and visualize the deviations from the originally planned tumour and normal tissue effects we defined the compensability index.
Results
The compensability index represents an evaluation of the suitability of compensatory radiotherapy in a single number based on the number of days used for compensation and the preference of preserving the originally planned tumour effect or not exceeding the originally planned normal tissue effect. An automated tool provides a method for quick evaluation of compensation treatments.
Conclusions
The compensability index calculation may serve as a decision support system based on existing and established recommendations.
The goal of our work was to develop a simple method to evaluate a compensation treatment after unplanned treatment interruptions with respect to their tumour- and normal tissue effect.
Methods
We developed a software tool in java programming language based on existing recommendations to compensate for treatment interruptions. In order to express and visualize the deviations from the originally planned tumour and normal tissue effects we defined the compensability index.
Results
The compensability index represents an evaluation of the suitability of compensatory radiotherapy in a single number based on the number of days used for compensation and the preference of preserving the originally planned tumour effect or not exceeding the originally planned normal tissue effect. An automated tool provides a method for quick evaluation of compensation treatments.
Conclusions
The compensability index calculation may serve as a decision support system based on existing and established recommendations.
Date of Publication
2012
Publication Type
Article
Language(s)
en
Contributor(s)
Putora, Paul Martin | |
Schmuecking, Michael | |
Plasswilm, Ludwig |
Additional Credits
Series
Radiation oncology
Publisher
BioMed Central
ISSN
1748-717X
Access(Rights)
open.access