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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.01878 |
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| _version_ | 1866912443744124928 |
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| author | Teles, Pedro Dias, Catarina Belo, João H. Sousa, Célia Boaventura, Paula Bravo, Isabel Santos, João Rylander, Marissa |
| author_facet | Teles, Pedro Dias, Catarina Belo, João H. Sousa, Célia Boaventura, Paula Bravo, Isabel Santos, João Rylander, Marissa |
| contents | Precise radiation delivery is critical for effective radiotherapy, and gold nanoparticles (AuNPs) have emerged as promising tools to enhance local dose deposition while sparing the surrounding healthy tissue. In this study, the PENELOPE Monte Carlo code was used to investigate the dosimetry of AuNPs under different conditions and models. The Dose Enhancement Ratio (DER) was studied in water and breast tissue with spherical shapes and in agreement with previously published results. To further analyse the physical interactions of the particles around the AuNP, a Phase Space File (PSF) in a volume around the AuNPs was created. This showed that larger AuNPs lead to increased doses, as expected, yielding DER values exceeding 100 times. Finally, results reveal that in the volume surrounding the AuNP, 80% of emitted electrons originate from photoelectric absorption, leading to Auger electron emission cascades which were analysed in detail. It was also possible to establish a direct relation between number of secondaries and the particle volumes. The Local Effect Model (LEM) was used to determine survival curves in AuNPs of different sizes at different gold concentrations. The last part of this work consisted in analysing a distribution of AuNPs within a flattened cell typical of clonogenic assays where a log-normal distribution of dose was observed. This led to the development of a new, mechanistic, Local Effect Model which, if further validated, can have further applications in-vitro and in-silico. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_01878 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Monte Carlo Simulation and Dosimetric Analysis of Gold Nanoparticles (AuNPs) in Breast Tissue Teles, Pedro Dias, Catarina Belo, João H. Sousa, Célia Boaventura, Paula Bravo, Isabel Santos, João Rylander, Marissa Medical Physics Data Analysis, Statistics and Probability Precise radiation delivery is critical for effective radiotherapy, and gold nanoparticles (AuNPs) have emerged as promising tools to enhance local dose deposition while sparing the surrounding healthy tissue. In this study, the PENELOPE Monte Carlo code was used to investigate the dosimetry of AuNPs under different conditions and models. The Dose Enhancement Ratio (DER) was studied in water and breast tissue with spherical shapes and in agreement with previously published results. To further analyse the physical interactions of the particles around the AuNP, a Phase Space File (PSF) in a volume around the AuNPs was created. This showed that larger AuNPs lead to increased doses, as expected, yielding DER values exceeding 100 times. Finally, results reveal that in the volume surrounding the AuNP, 80% of emitted electrons originate from photoelectric absorption, leading to Auger electron emission cascades which were analysed in detail. It was also possible to establish a direct relation between number of secondaries and the particle volumes. The Local Effect Model (LEM) was used to determine survival curves in AuNPs of different sizes at different gold concentrations. The last part of this work consisted in analysing a distribution of AuNPs within a flattened cell typical of clonogenic assays where a log-normal distribution of dose was observed. This led to the development of a new, mechanistic, Local Effect Model which, if further validated, can have further applications in-vitro and in-silico. |
| title | Monte Carlo Simulation and Dosimetric Analysis of Gold Nanoparticles (AuNPs) in Breast Tissue |
| topic | Medical Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2506.01878 |