2017
DOI: 10.1016/j.ejmp.2017.03.013
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Quantification of the uncertainties of a biological model and their impact on variable RBE proton treatment plan optimization

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Cited by 29 publications
(39 citation statements)
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“…Due to the uncertainties in RBE, treatment plan optimization based on RBE models is currently not feasible with clinically acceptable accuracy [57, 83]. RBE variations are thus only taken into account intuitively (for instance by avoiding certain beam angles), but not quantitatively, during the planning process.…”
Section: Biological Optimizationmentioning
confidence: 99%
“…Due to the uncertainties in RBE, treatment plan optimization based on RBE models is currently not feasible with clinically acceptable accuracy [57, 83]. RBE variations are thus only taken into account intuitively (for instance by avoiding certain beam angles), but not quantitatively, during the planning process.…”
Section: Biological Optimizationmentioning
confidence: 99%
“…The dose-averaged LET was extracted from the LET-Actor in GATE/Geant4 using the default scoring routine and the LET to water option, 49 which uses "method C" form Cortes-Giraldo and Carabe and is, hence, independent of step limiting events. 50…”
Section: C3 Let Quenching Correctionmentioning
confidence: 99%
“…The scarcity of the current evidence might come, as Dr. DeLuca hinted in his opening statement, from avoiding the detrimental impact of the end‐of‐range high LET through careful beam arrangements, thus, from indirectly accounting for the variability in the RBE. Nevertheless, instead of avoiding the issue under the false assumption that IMPT inherently eliminates all high‐LET components, biological optimization strategies, including LET optimization and variable RBE considerations, could mitigate RBE effects and maximize the potential of proton therapy, while prospectively collecting clinical data …”
Section: Against the Proposition: Paul M Deluca Jr Phdmentioning
confidence: 99%