Authors:
Nicola Dinapoli
1
;
Anna Rita Alitto
1
;
Mauro Vallati
2
;
Rosa Autorino
1
;
Roberto Gatta
1
;
Luca Boldrini
1
;
Andrea Damiani
1
;
Giovanna Mantini
1
and
Vincenzo Valentini
1
Affiliations:
1
Università Cattolica del Sacro Cuore, Italy
;
2
University of Huddersfield, United Kingdom
Keyword(s):
Dose Volume Histograms, Radiobiology, Radiotherapy, TCP, NTCP, Vdose, Dvolume.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Evaluation and Use of Healthcare IT
;
Health Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
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.