1997
DOI: 10.1016/s0360-3016(96)00540-8
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Calculation of relative biological effectiveness for proton beams using biological weighting functions

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Cited by 73 publications
(63 citation statements)
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“…LET has been demonstrated to increase steeply at the distal end of the SOBP [11, 20, 24]. Consistent with the reports of several previous investigators in regard to the existence of a significant relationship between the RBE and LET [11, 12, 25], the current study also showed a trend towards a positive correlation between the RBE and LET for both cell lines, despite their different sensitivities to the proton beam.…”
Section: Discussionsupporting
confidence: 91%
“…LET has been demonstrated to increase steeply at the distal end of the SOBP [11, 20, 24]. Consistent with the reports of several previous investigators in regard to the existence of a significant relationship between the RBE and LET [11, 12, 25], the current study also showed a trend towards a positive correlation between the RBE and LET for both cell lines, despite their different sensitivities to the proton beam.…”
Section: Discussionsupporting
confidence: 91%
“…Measurements had revealed that RBEm varies from 1.1 to 1.4 in the SOBP and reaches values as high as 2.7 at the distal edge. Those data were in good agreement with the calculations of Paganetti et al (1997) and with radiobiological measurements (Courdi et al, 1994;Bettega et al, 2000). Moreover, measurements performed outside the collimator edge had shown that RBEm increased by 10% (De Nardo et al, 2004a) at 2.5 mm from the collimator edge, which was higher than those calculated by Van Luijk et al (2001).…”
Section: Introductionsupporting
confidence: 88%
“…Although in clinical application of proton beams for radiotherapy the generic RBE of 1.1 continues to be widely used, as recommended by ICRU Report 78, there has been a growing interest among those involved with biophysical modeling, in devising ways to accommodate variation in RBE values in treatment planning (51)(52)(53)(54)(55)(56)(57)(58)(59)(60)(61)(62). Some of those models rely on biological measurements, both in vitro and in vivo, to characterize some of the model parameters.…”
Section: Biophysical Modelingmentioning
confidence: 99%