Relative stopping powers (RSP) for proton therapy are estimated using single-energy CT (SECT), calibrated with standardised tissues of the adult male. It is assumed that those tissues are representative of tissues of all age and sex. Female, male and paediatric tissues differ from one another in density and composition. In this study, we use tabulated paediatric tissues and computational phantoms to investigate the impact of this assumption on paediatric proton therapy.The potential of dual-energy CT (DECT) to improve the accuracy of these calculations is explored.
Methods:We study 51 human body tissues, categorised into male/female for the age groups newborn, 1-, 5-, 10-, 15-year old and adult, with given compositions and densities. CT numbers are simulated and RSPs are estimated using SECT and DECT methods. Estimated tissue RSPs from each method are compared to theoretical RSP. The dose and range errors of each approach is evaluated on 3 computational phantoms (Ewing's sarcoma, salivary sarcoma, glioma) derived from paediatric proton therapy patients.Results: With SECT, soft tissues have mean estimation errors and standard deviation up to (1.96 ± 4.18)% observed in newborns, compared to (0.20 ± 1.15)% in adult males. Mean estimation errors for bones are up to (-3.35 ± 4.76)% in paediatrics as opposed to (0.10 ± 0.66)% in adult males. With DECT, mean errors reduce to (0.17 ± 0.13)% and (0.23 ± 0.22)% in newborns (soft tissues/bones). With SECT, dose errors in a Ewing's sarcoma phantom are exceeding 5 Gy (10% of prescribed dose) at the distal end of the treatment field, with volumes of dose errors >5 Gy of V diff>5 = 4630.7 mm 3 . Similar observations are made in the head and neck phantoms, with overdoses
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