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RadioBio data: a Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy

Dinapoli, Nicola, Alitto, Anna Rita, Vallati, Mauro, Autorino, Rosa, Gatta, Roberto, Boldrini, Luca, Damiani, Andrea, Martini, Giovanna and Valentini, Vincenzo (2016) RadioBio data: a Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy. In: Proceedings of the 9th International Conference on Health Informatics. SCITEpress. (In Press)

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Abstract

In this work a system for analysing radiotherapy treatment planning dose-volume data is proposed. The work starts from the definition of a framework inside a statistical scripting environment (R) used for creating a software package. The analysis of dose-volume data in radiotherapy of malignant tumours is mandatory for evaluating the prescribed treatment and for feedback analysis of outcome, both in the direction of tumour control and in detection of parameters for estimating and predicting toxicity outcome. The statistical analysis of large amount of clinical data can be slowed by the lack of practice in statistical tools needed, by clinicians, to perform such kind of analysis. This is the reason that lead our working group in the creation of such a tool.
Finally an example of clinical application of our software is given for the analysis of the outcome of patients undergoing to radiotherapy for prostate cancer.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Mauro Vallati
Date Deposited: 14 Dec 2015 14:01
Last Modified: 14 Dec 2015 14:08
URI: http://eprints.hud.ac.uk/id/eprint/26698

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