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

Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, Rosa Autorino, Roberto Gatta, Luca Boldrini, Andrea Damiani, Giovanna Mantini, Vincenzo Valentini

2016

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.

Paper Citation

in Harvard Style

Dinapoli N., Alitto A., Vallati M., Autorino R., Gatta R., Boldrini L., Damiani A., Mantini G. and Valentini V. (2016). RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 277-281. DOI: 10.5220/0005693502770281

in Bibtex Style

@conference{healthinf16,
author={Nicola Dinapoli and Anna Rita Alitto and Mauro Vallati and Rosa Autorino and Roberto Gatta and Luca Boldrini and Andrea Damiani and Giovanna Mantini and Vincenzo Valentini},
title={RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={277-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005693502770281},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy
SN - 978-989-758-170-0
AU - Dinapoli N.
AU - Alitto A.
AU - Vallati M.
AU - Autorino R.
AU - Gatta R.
AU - Boldrini L.
AU - Damiani A.
AU - Mantini G.
AU - Valentini V.
PY - 2016
SP - 277
EP - 281
DO - 10.5220/0005693502770281