Comparison and optimization of modern radiotherapy techniques

Doctoral Dissertation uoadl:1305856 534 Read counter

Unit:
Τομέας Βασικών Επιστημών
Library of the School of Health Sciences
Deposit date:
2015-07-21
Year:
2015
Author:
Ανδρέου Μαρία
Dissertation committee:
Γεωργίου Ευάγγελος, Καραϊσκος Παντελής, Παπαγιάννης Παναγιώτης
Original Title:
Βελτιστοποίηση και αξιολόγηση σύγχρονων εφαρμογών ακτινοθεραπείας
Languages:
Greek
Translated title:
Comparison and optimization of modern radiotherapy techniques
Summary:
Firstly, in this study two different planning approaches were compared used in
two different treatment planning systems for Volumetric Modulated Arc Therapy
(VMAT) treatments. Ten prostate patients were studied retrospectively.
Different plans were created for every patient using the anatomy-based approach
used in ERGO++, as well as the fluence-based planning approach incorporated in
Monaco TPS.
Secondly, in this study two different optimization approaches used for IMRT and
VMAT treatment were compared for two cancer types: prostate and head-and-neck
cancer. Ten prostate and ten head-and-neck patients were studied respectively.
Results of the different plans were compared using the two-sided Wilcoxon
matched-pair signed rank test with a threshold of p =0.05 for statistical
significance.
Overall, high quality plans in terms of target coverage and critical organ
protection were provided by the two approaches.
The anatomy-based approach used in ERGO++ can provide plans with increased
delivery efficiency in terms of number of MUs and delivery time . On the other
hand advantages of the fluence-based approach used in Monaco TPS include
increased conformity, better target dose homogeneity and higher dose gradient
(lower dose to normal non-target-tissue) due to the higher degree of modulation
of the fluence-based approach used.
As for biological optimization can generate superior plans in terms of OARS
sparing using either IMRT or VMAT technique.
Keywords:
IMRT, VMAT, Prostate cancer, head and neck cancer, Biological cost functions
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
65
Number of pages:
164
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