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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Place of PublicationPortugal
PublisherScience and Technology Publications
Pages277-281
Number of pages5
ISBN (Electronic)9789897581700
DOIs
Publication statusPublished - 2016
Event9th International Joint Conference on Biomedical Engineering Systems and Technologies - Rome, Italy
Duration: 21 Feb 201623 Feb 2016
Conference number: 9
http://www.biostec.org/?y=2016 (Link to Conference Details)

Conference

Conference9th International Joint Conference on Biomedical Engineering Systems and Technologies
Abbreviated titleBIOSTEC 2016
CountryItaly
CityRome
Period21/02/1623/02/16
Internet address

Fingerprint

Radiotherapy
Tumors
Tissue
Dosimetry
Software packages
Toxicity
Statistical methods
Feedback
Planning

Cite this

Dinapoli, N., Alitto, A. R., Vallati, M., Autorino, R., Gatta, R., Boldrini, L., ... 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 (pp. 277-281). Portugal: Science and Technology Publications. https://doi.org/10.5220/0005693502770281
Dinapoli, Nicola ; Alitto, Anna Rita ; Vallati, Mauro ; Autorino, Rosa ; Gatta, Roberto ; Boldrini, Luca ; Damiani, Andrea ; Mantini, Giovanna ; Valentini, Vincenzo. / RadioBio data : A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy. Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies. Portugal : Science and Technology Publications, 2016. pp. 277-281
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title = "RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy",
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.",
keywords = "Dose Volume Histograms, Radiobiology, Radiotherapy, TCP, NTCP, Vdose, Dvolume",
author = "Nicola Dinapoli and Alitto, {Anna Rita} and Mauro Vallati and Rosa Autorino and Roberto Gatta and Luca Boldrini and Andrea Damiani and Giovanna Mantini and Vincenzo Valentini",
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Dinapoli, N, Alitto, AR, Vallati, M, Autorino, R, Gatta, R, Boldrini, L, Damiani, A, Mantini, G & 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. Science and Technology Publications, Portugal, pp. 277-281, 9th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, 21/02/16. https://doi.org/10.5220/0005693502770281

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; Mantini, Giovanna; Valentini, Vincenzo.

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies. Portugal : Science and Technology Publications, 2016. p. 277-281.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Dinapoli N, Alitto AR, Vallati M, Autorino R, Gatta R, Boldrini L et al. 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. Portugal: Science and Technology Publications. 2016. p. 277-281 https://doi.org/10.5220/0005693502770281