accuracy evaluation of oncentra™ tps in hdr brachytherapy of nasopharynx cancer using egsnrc monte carlo code

نویسندگان

k hadad shiraz university

m zohrevand shiraz university

r faghihi shiraz university

a sedighi pashaki mahdieh m.r.i center, hamedan

چکیده

background: hdr brachytherapy is one of the commonest methods of nasopharyngeal cancer treatment. in this method, depending on how advanced one tumor is, 2 to 6 gy dose as intracavitary brachytherapy is prescribed. due to high dose rate and tumor location, accuracy evaluation of treatment planning system (tps) is particularly important. common methods used in tps dosimetry are based on computations in a homogeneous phantom. heterogeneous phantoms, especially patient-specific voxel phantoms can increase dosimetric accuracy. materials and methods: in this study, using ct images taken from a patient and ctcreate-which is a part of the dosxyznrc computational code, patient-specific phantom was made. dose distribution was plotted by dosxyznrc and compared with tps one. also, by extracting the voxels absorbed dose in treatment volume, dose-volume histograms (dvh) was plotted and compared with oncentra™ tps dvhs. results: the results from calculations were compared with data from oncentra™ treatment planning system and it was observed that tps calculation predicts lower dose in areas near the source, and higher dose in areas far from the source relative to mc code. absorbed dose values in the voxels also showed that tps reports d90 value is 40% higher than the monte carlo method. conclusion: today, most treatment planning systems use tg-43 protocol. this protocol may results in errors such as neglecting tissue heterogeneity, scattered radiation as well as applicator attenuation. due to these errors, aapm emphasized departing from tg-43 protocol and approaching new brachytherapy protocol tg-186 in which patient-specific phantom is used and heterogeneities are affected in dosimetry.

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Accuracy Evaluation of Oncentraâ„¢ TPS in HDR Brachytherapy of Nasopharynx Cancer Using EGSnrc Monte Carlo Code

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عنوان ژورنال:
journal of biomedical physics and engineering

جلد ۵، شماره ۱ Mar، صفحات ۰-۰

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