Challenges for the Implementation of Primary Standard Dosimetry in Proton Minibeam Radiation Therapy

Cancers (Basel). 2024 Nov 29;16(23):4013. doi: 10.3390/cancers16234013.

Abstract

Background/Objectives: Spatial fractionation of proton fields as sub-millimeter beamlets to treat cancer has shown better sparing of healthy tissue whilst maintaining the same tumor control. It is critical to ensure primary standard dosimetry is accurate and ready to support the modality's clinical implementation. Methods: This work provided a proof-of-concept, using the National Physical Laboratory's Primary Standard Proton Calorimeter (PSPC) to measure average absorbed dose-to-water in a pMBRT field. A 100 MeV mono-energetic field and a 2 cm wide SOBP were produced with a spot-scanned proton beam incident on a collimator comprising 15 slits of 400 µm width, each 5 cm long and separated by a center-to-center distance of 4 mm. Results: The results showed the uncertainty on the absorbed dose-to-water in the mono-energetic beam was dominated by contributions of 1.4% and 1.1% (k = 1) for the NPL PSPC and PTW Roos chambers, respectively, originating from the achievable positioning accuracy of the devices. In comparison, the uncertainty due to positioning in the SOBP for both the NPL PSPC and PTW Roos chambers were 0.4%. Conclusions: These results highlight that it may be more accurate and reliable to perform reference dosimetry measuring the Dose-Area Product or in an SOBP for spatially fractionated fields.

Keywords: SFRT; calorimetry; dosimetry; minibeams; pMBRT; proton.

Grants and funding

This research was partially funded by the UK Government’s Department for Science, Innovation, and Technology, a key contributor to the UK National Measurement System. Project 18HLT04 UHDpulse received funding from the EMPIR programme, co-financed by the Participating States and the European Union’s Horizon 2020 research and innovation programme. Additionally, this project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 817908) for Y. Prezado. This work has been carried out using the INSPIRE Research Infrastructures and is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730983. Some simulations for this work were carried out using the access to the HPC resources of TGCC under allocation 2021-A0100312447 made by GENCI.