ArticlePhysics and imaging in radiation oncology2024
Monte Carlo simulated correction factors for high dose rate brachytherapy postal dosimetry audit methodology.
Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Experimental and computational dosimetry in an integrated workflow for remote audits in Ir-192 interstitial brachytherapy: Development and pilot implementation.Journal of applied clinical medical physics · 2026Article
- Accuracy of manufacturer integrated quality control for helical radiotherapy.Physics and imaging in radiation oncology · 2025Article
- Breakthroughs in modern brachytherapy are transforming cancer care.Physics and imaging in radiation oncology · 2025Article
- Development and international multicentre pilot testing of a postal dosimetry audit methodology for high dose rate brachytherapy.Physics and imaging in radiation oncology · 2024Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background and Purpose: Full-scatter conditions in water are impractical for postal dosimetry audits in brachytherapy. This work presents a method to obtain correction factors that account for deviations from full-scatter water-equivalent conditions for a small plastic phantom. Material and Methods: A 16 × 8 × 3 cm phantom (PMMA) with a radiophotoluminescent dosimeter (RPLD) at the centre and two catheters on either side was simulated using Monte Carlo (MC) to calculate correction factors accounting for the lack of scatter, non-water equivalence of the RPLD and phantom, source model and backscatter for HDR Results: The correction factors for non-water equivalence, lack of full scatter, and the use of PMMA were 1.062 ± 0.013, 1.059 ± 0.008 and 0.993 ± 0.009 for Conclusions: Correction factors were obtained through the MC simulations for conditions deviating from TG-43, including the amount of back scatter, and the optimum audit set up. Additionally, the influence of different source models on the correction factors was negligible and demonstrates their generic applicability.
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