In beta dosimetry, the absorbed dose rate changes rapidly with the depth in a given medium. Its knowledge is essential for the full characterisation of the beta reference fields and the evaluation of the response of beta detectors. This work presents a general formalism for the precise determination of beta depth-dose curves by means of ionisation chamber measurements. An extrapolation chamber is not required. The formalism is appropriate for the determination of the full range depth-dose curve of up to 10 mm depth and more, when all electrons are stopped. Particular care was taken for the determination of the correction factors for the ISO 6980 reference fields, which are the most common beta reference fields. The formalism is proved experimentally: The depth-dose curves of all beta sources available at the Physikalisch-Technische Bundesanstalt (PTB) were determined and compared with the curves published in ISO 6980, yielding an excellent agreement. The presented formalism reflects the state-of-the-art of depth-dose measurements at the PTB.
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http://dx.doi.org/10.1093/rpd/ncr479 | DOI Listing |
Phys Med Biol
January 2025
Department of Radiation Oncology, The University of Kansas Medical Center, Department of Radiation Oncology, University of Kansas Medical Center, USA, Kansas City, Kansas, 66160-8500, UNITED STATES.
Proton minibeam radiation therapy (pMBRT) dose profile is characterized by highly heterogeneous dose in the plane perpendicular to the beam direction and rapidly changing depth dose profiles. Typically, dose measurements are benchmarked against in-house Monte Carlo simulation tools. It is essential to have a treatment planning system (TPS) that can accurately predict pMBRT doses in tissue and be available via commercial platform for preclinical and clinical use.
View Article and Find Full Text PDFMed Dosim
January 2025
Department of Radiation Oncology, University of Rochester Medical Center, Rochester, NY.
Purpose: In radiotherapy treatment planning systems, modelling of superficial dose may be aided by a body contour that is, by default, placed at the outermost air-tissue interface. Here we investigate the accuracy of superficial dose calculated using either the default body contour (DBC) or an extended body contour (EBC) compared to radiochromic film measurements made on a slab phantom and an anthropomorphic phantom.
Methods: Depth dose curves in the superficial region of the slab phantom were measured using stacked radiochromic films and irradiated using static beams delivered from varying incident angles.
Int J Radiat Oncol Biol Phys
December 2024
Cancer and Blood Diseases Institute, Cincinnati Children's Hospital; Department of Radiation Oncology, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
Purpose: To retrospectively validate the dose and dose rates delivered in FAST-01 clinical trial fields via submillimeter spatial and <0.25 ms temporal resolution scintillation imaging.
Methods And Materials: An ultrafast intensified CMOS camera (4.
J Appl Clin Med Phys
December 2024
Department of Radiation Oncology, New York University Langone Medical Center, New York, New York, USA.
Purpose: To commission a beam model in ClearCalc (Radformation Inc.) for use as a secondary dose calculation algorithm and to implement its use into an adaptive workflow for an MR-linear accelerator.
Methods: A beam model was developed using commissioning data for an Elekta Unity MR-linear accelerator and entered into ClearCalc.
Phys Imaging Radiat Oncol
October 2024
Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London SM2 5PT, United Kingdom.
Background And Purpose: Radiotherapy using Very High Energy Electrons (VHEE) has the potential to reduce dose to organs at risk compared to photons. This article therefore reviews treatment planning for VHEE, to clarify the potential benefit of the modality.
Materials And Methods: Articles on VHEE were identified and those which focused on treatment planning were manually selected, particularly those which contained results on patient datasets.
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