2023
DOI: 10.1016/j.radonc.2023.109525
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3D printed 2D range modulators preserve radiation quality on a microdosimetric scale in proton and carbon ion beams

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Cited by 3 publications
(3 citation statements)
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“…Still, a few PT applications for 3D-printed (anthropomorphic) phantoms have been presented, and some have reported a mismatch of CTpredicted SPR for the materials used [15,20]. Furthermore, recent publications have shown good results concerning 3D printing applications for particle beam modulation [31][32][33][34][35].…”
Section: Discussionmentioning
confidence: 99%
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“…Still, a few PT applications for 3D-printed (anthropomorphic) phantoms have been presented, and some have reported a mismatch of CTpredicted SPR for the materials used [15,20]. Furthermore, recent publications have shown good results concerning 3D printing applications for particle beam modulation [31][32][33][34][35].…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the constant shape of the lateral beam profiles, this is good evidence that the 3D prints do not deteriorate beam quality. Recent findings by Barna et al further showed that 3D-printed structures even preserved radiation quality on a microdosimetric scale [31]. Overall, the SLA prints were not considered tissue surrogates because of their high SPR and poor prediction accuracy but can be recommended for, for example, patient-specific boluses using a bulk override to avoid reported FDM-printing inaccuracy and heterogeneity [36].…”
Section: Discussionmentioning
confidence: 99%
“…The weights of individual beamlets were then optimised using a MATLAB script to achieve the required STV profiles (<0.5% uniformity in the SOBP region) (Romano et al 2019). We assume this is representative of the dose distributions from the commercial TPSs as the local spectrum will be close enough (Barna et al 2023). Corrections calculated analytically included k z, cal which is the correction factor for the reference distance from the beam and k ripple which corrects for the degree of ripple in the flat region of the SOBP where measurements were made.…”
Section: Monte Carlo and Analytical Derived Correctionsmentioning
confidence: 99%