DocumentCode :
1741327
Title :
Including setup uncertainty in Monte Carlo dose calculation for IMRT
Author :
Pawlicki, Todd ; Jiang, Steve B. ; Li, Jinsheng ; Deng, Jun ; Ma, C.-M.
Author_Institution :
Sch. of Med., Stanford Univ., CA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
112
Abstract :
Radiotherapy treatments are planned to deliver a therapeutic dose of radiation to the target while limiting the concomitant dose to normal tissues. But, the targeted area and normal tissues are not stationary within the planned dose distribution due to patient positioning uncertainty prior to each deny fraction. The success of radiation therapy may be compromised by these effects. Inter-fraction setup uncertainty can never be completely eliminated, only reduced through immobilisation techniques. The objective of this work is to include setup uncertainty into clinical Monte Carlo dose calculation for intensity-modulated radiotherapy (IMRT). The specific aims of this project are to incorporate a model of setup uncertainty into clinical Monte Carlo IMRT dose calculations and to compare those results to Monte Carlo dose calculations without the effects of setup uncertainty considered. The authors have included the setup uncertainty during the “run-time” of simulation by perturbing the incident particles before they enter the patient. The authors´ initial results indicate that in IMRT dose distributions, critical structure dose is usually increased even when the target coverage is similar for a plan that includes setup uncertainty and one that does not. Furthermore, setup uncertainty may actually increase dose homogeneity within the target. Two clinical cases are presented to illustrate the authors´ conclusions
Keywords :
Monte Carlo methods; dosimetry; radiation therapy; Monte Carlo dose calculation; clinical calculations; clinical cases; critical structure dose; dose homogeneity increase; immobilisation techniques; incident particles perturbation; intensity-modulated radiotherapy; normal tissues; radiotherapy dosimetry; setup uncertainty; Biomedical applications of radiation; Degradation; Intensity modulation; Kernel; Linear particle accelerator; Monte Carlo methods; Particle scattering; Tongue; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900682
Filename :
900682
Link To Document :
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