Abstract
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  277281 
Number of pages  5 
ISBN (Electronic)  9789897581700 
DOIs  
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  Italy 
City  Rome 
Period  21/02/16 → 23/02/16 
Internet address 

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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; Mantini, Giovanna; Valentini, Vincenzo.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies. Portugal : Science and Technology Publications, 2016. p. 277281.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY  GEN
T1  RadioBio data
T2  A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy
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
PY  2016
Y1  2016
N2  In this work a system for analysing radiotherapy treatment planning dosevolume 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 dosevolume 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 dosevolume 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 dosevolume 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
SP  277
EP  281
BT  Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
PB  Science and Technology Publications
CY  Portugal
ER 