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Monte Carlo intercomparison of TG-43 dosimetric parameters for clinical192Ir and125I brachytherapy sources

Journal
Physics in medicine and biology (Q1)
Published
15 September 2026
Study design
Unclassified
Evidence level
Level 5, Expert Opinion (CEBM 5)
Authors
Lucas Fabrício de Araújo, Asif Amin, Adriano Sabino, Telma Fonseca
PMID
42743978
DOI
10.1088/1361-6560/aea7f6

Why clinicians should know about it

  • Picked for Medical Physics (top studies of the week, 20 September 2026): Monte Carlo intercomparison of TG‑43 parameters for 192Ir and 125I

Abstract

Accurate dose calculation is essential in brachytherapy and frequently relies on Monte Carlo (MC) simulations for the determination of TG-43 dosimetric parameters. This study presents a comprehensive intercomparison of three general-purpose MC codes, MCNP6.2, TOPAS 3.9, and PHITS 3.341, for the evaluation of the geometry function, radial dose function, and anisotropy function of the microSelectron-HDR v2192Ir source and the Theragenics-AgX100125I seed. The simulations employed the complete photon emission spectra recommended by ICRP 107 and the datasets were rigorously benchmarked against established consensus literature, and a fifth-order polynomial fitting was applied to the radial dose function data. The results demonstrated excellent overall agreement among the three MC codes and the reference datasets. The polynomial fitting accurately reproduced the radial dose distributions, with deviations remaining predominantly below the recommended 2 % limit within clinically relevant radial intervals. Nevertheless, larger discrepancies were observed for the low-energy125I source at extended distances, emphasizing the greater sensitivity of low-energy photon transport and attenuation effects compared with the more stable behavior observed for the192Ir source. Overall, this study validates the accuracy and reliability of the investigated MC codes for high-precision brachytherapy dosimetry, establishing a robust computational baseline for future applications in patient-specific treatment planning and radiosensitization studies.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.