Comput Math Methods Med - A probability approach to the study on uncertainty effects on gamma index evaluations in radiation therapy.

Tópicos

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Resumo

Two datasets of points of known spatial positions and an associated absorbed dose value are often compared for quality assurance purposes in External Beam Radiation Therapy (EBRT). Some problems usually arise regarding the pass fail criterion to accept both datasets as close enough for practical purposes. Instances of this kind of comparisons are fluence or dose checks for intensity modulated radiation therapy, modelling of a treatment unit in a treatment planning system, and so forth. The gamma index is a figure of merit that can be obtained from both datasets; it is widely used, as well as other indices, as part of a comparison procedure. However, it is recognized that false negatives may take place (there are acceptable cases where a certain number of points do not pass the test) due in part to computation and experimental uncertainty. This work utilizes mathematical methods to analyse comparisons, so that uncertainty can be taken into account. Therefore, false rejections due to uncertainty do not take place and there is no need to expand tolerances to take uncertainty into account. The methods provided are based on the rules of uncertainty propagation and help obtain rigorous pass/fail criteria, based on experimental information.

Resumo Limpo

two dataset point known spatial posit associ absorb dose valu often compar qualiti assur purpos extern beam radiat therapi ebrt problem usual aris regard pass fail criterion accept dataset close enough practic purpos instanc kind comparison fluenc dose check intens modul radiat therapi model treatment unit treatment plan system forth gamma index figur merit can obtain dataset wide use well indic part comparison procedur howev recogn fals negat may take place accept case certain number point pass test due part comput experiment uncertainti work util mathemat method analys comparison uncertainti can taken account therefor fals reject due uncertainti take place need expand toler take uncertainti account method provid base rule uncertainti propag help obtain rigor passfail criteria base experiment inform

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