Modelling the throughput capacity of a single-accelerator multitreatment room proton therapy centre.
Affiliation
Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.Issue Date
2012-12
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Objective We describe a model for evaluating the throughput capacity of a single-accelerator multitreatment room proton therapy centre with the aims of (1) providing quantitative estimates of the throughput and waiting times and (2) providing insight into the sensitivity of the system to various physical parameters. Methods A Monte Carlo approach was used to compute various statistics about the modelled centre, including the throughput capacity, fraction times for different groups of patients and beam waiting times. A method of quantifying the saturation level is also demonstrated. Results Benchmarking against the MD Anderson Cancer Center showed good agreement between the modelled (140±4 fractions per day) and reported (133±35 fractions per day) throughputs. A sensitivity analysis of that system studied the impact of beam switch time, the number of treatment rooms, patient set-up times and the potential benefit of having a second accelerator. Finally, scenarios relevant to a potential UK facility were studied, finding that a centre with the same four-room, single-accelerator configuration as the MD Anderson Cancer Center but handling a more complex UK-type caseload would have a throughput reduced by approximately 19%, but still be capable of treating in excess of 100 fractions per 16-h treatment day. Conclusions The model provides a useful tool to aid in understanding the operating dynamics of a proton therapy facility, and for investigating potential scenarios for prospective centres. Advances in knowledge The model helps to identify which technical specifications should be targeted for future improvements.Citation
Modelling the throughput capacity of a single-accelerator multitreatment room proton therapy centre. 2012, 85 (1020):e1263-72 Br J RadiolJournal
British Journal of RadiologyDOI
10.1259/bjr/27428078PubMed ID
23175492Type
ArticleLanguage
enISSN
1748-880Xae974a485f413a2113503eed53cd6c53
10.1259/bjr/27428078
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