%0 Thesis
%A Hild, Sebastian
%T Adaptive Treatment of prostate carcinoma in scanned ion beam therapy [cumulative PhD]
%I Friedrich-Alexander-Universität Erlangen-Nürnberg
%V Dr.
%M GSI-2016-00157
%P -
%D 2015
%Z The Thesis is presented as a cumulative work of two publications (see linked works). https://repository.gsi.de/record/96010 and https://repository.gsi.de/record/184394 .
%Z Friedrich-Alexander-Universität Erlangen-Nürnberg, Diss., 2015
%X Radiation therapy for prostate carcinoma (PCa) is challenged in part by large target dislocations between single fractions (interfraction motion). To prevent geometrical target misses, in clinical practice the volume to be irradiated is enlarged by so called safety margins of typically 5 to 12 mm, in some cases even up to 15 mm, in any direction. The extension causes an unnecessary dose delivered to healthy tissue and radiation sensitive organs like the bladder and the rectum. Toxicity in these organs restricts the maximum target dose which has been found to improve tumor control if increased. In this work, adaptive radiation therapy (ART) strategies have been analyzed for their possible application in prostate cancer therapy. For this purpose, scanned ion beam therapy, which is known to feature a highly conformal dose delivery, was combined with two ART strategies: image guided target definition and daily plan re-optimization. As a proof of concept, the treatment planning software for particles TRiP, developed at GSI Helmholtz Center for Heavy Ion Research (GSI) in Darmstadt, Germany, has been optimized for calculation speed. A reduction of computation time from 4 hours to 6 min for a two-field prostate plan demonstrated the plausibility of daily plan re-optimization. In addition a treatment simulation study on a dataset containing 60 computed tomography scans (CTs) of ten prostate cancer patients has been designed comparing the performance of image guided target definition and daily plan re-optimization with conventional one plan radiotherapy. In the presented dataset 20
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%U https://repository.gsi.de/record/184427