Monte Carlo Simulation of the Treatment of Uveal Melanoma Using Measured Heterogeneous 106 Ru Plaques

Zugehörige Organisation
NCTeam, Strahlenklinik, Universitätsklinikum Essen, Essen, Germany
Zaragoza, Francisco J.;
GND
116532668X
Zugehörige Organisation
Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
Eichmann, Marion;
LSF
12822
Zugehörige Organisation
NCTeam, Strahlenklinik, Universitätsklinikum Essen, Essen, Germany
Flühs, Dirk;
GND
141457325
Zugehörige Organisation
Klinik für Strahlentherapie und Radioonkologie, Universitätsklinikum Jena, Jena, Germany
Wittig, Andrea;
GND
1221222031
ORCID
0000-0002-5027-5913
LSF
16023
Zugehörige Organisation
NCTeam, Strahlenklinik, Universitätsklinikum Essen, Essen, Germany
Sauerwein, Wolfgang;
GND
1031801286
ORCID
0000-0003-3385-9623
LSF
51089
Zugehörige Organisation
West German Proton Therapy Centre Essen (WPE), Essen, Germany
Brualla, Lorenzo

Background/Aims: Ruthenium plaques are used for the treatment of ocular tumors. The aim of this work is the comparison between simulated absorbed dose distributions tallied in an anthropomorphic phantom, obtained from ideal homogeneous plaques, and real eye plaques in which the actual heterogeneous distribution of 106Ru was measured. The placement of the plaques with respect to the tumor location was taken into consideration to optimize the effectiveness of the treatment.

Methods: The generic CCA and CCB, and the specific CCA1364 and CCB1256 106Ru eye plaques were modeled with the Monte Carlo code PENELOPE. To compare the suitability of each treatment for an anterior, equatorial and posterior tumor location, cumulative dose-volume histograms for the tumors and structures at risk were calculated.

Results: Eccentric placements of the plaques, taking into account the inhomogeneities of the emitter map, can substantially reduce the dose delivered to structures at risk while maintaining the prescribed dose at the tumor apex.

Conclusions: The emitter map distribution of the plaque and the computerized tomography of the patient used in a Monte Carlo simulation allow an accurate determination of the plaque position with respect to the tumor with the potential to reduce the dose to sensitive structures.

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© 2018 S. Karger AG, Basel

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