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

doi:10.5220/0005693502770281

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

Catholic University of the Sacred Heart

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (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 language	English
Title of host publication	Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Place of Publication	Portugal
Publisher	Science and Technology Publications
Pages	277-281
Number of pages	5
ISBN (Electronic)	9789897581700
DOIs	https://doi.org/10.5220/0005693502770281
Publication status	Published - 2016
Event	9th International Joint Conference on Biomedical Engineering Systems and Technologies - Rome, Italy Duration: 21 Feb 2016 → 23 Feb 2016 Conference number: 9 http://www.biostec.org/?y=2016 (Link to Conference Details)

Conference

Conference	9th International Joint Conference on Biomedical Engineering Systems and Technologies
Abbreviated title	BIOSTEC 2016
Country/Territory	Italy
City	Rome
Period	21/02/16 → 23/02/16
Internet address	http://www.biostec.org/?y=2016 (Link to Conference Details)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.5220/0005693502770281Licence: Unspecified

http://eprints.hud.ac.uk/id/eprint/26698/Licence: Unspecified

Cite this

Dinapoli, N., Alitto, A. R., 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 (pp. 277-281). Science and Technology Publications. https://doi.org/10.5220/0005693502770281

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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",

year = "2016",

doi = "10.5220/0005693502770281",

language = "English",

pages = "277--281",

booktitle = "Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies",

publisher = "Science and Technology Publications",

address = "Portugal",

note = "9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 ; Conference date: 21-02-2016 Through 23-02-2016",

url = "http://www.biostec.org/?y=2016",

}

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 et al.
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 proceeding › Conference contribution › peer-review

TY - GEN

T1 - RadioBio data

T2 - 9th International Joint Conference on Biomedical Engineering Systems and Technologies

AU - Dinapoli, Nicola

AU - Alitto, Anna Rita

AU - Vallati, Mauro

AU - Autorino, Rosa

AU - Gatta, Roberto

AU - Boldrini, Luca

AU - Damiani, Andrea

AU - Mantini, Giovanna

AU - Valentini, Vincenzo

N1 - Conference code: 9

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Dose Volume Histograms

KW - Radiobiology

KW - Radiotherapy

KW - TCP

KW - NTCP

KW - Vdose

KW - Dvolume

U2 - 10.5220/0005693502770281

DO - 10.5220/0005693502770281

M3 - Conference contribution

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BT - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

PB - Science and Technology Publications

CY - Portugal

Y2 - 21 February 2016 through 23 February 2016

ER -

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 doi: 10.5220/0005693502770281

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

Abstract

Conference

UN SDGs

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