Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
[EN] Radiation Therapy Planning Systems (RTPS) presently operating in hospitals comprise algorithms founded on deterministic simplifications that do not correctly take into account electron lateral transport in the regions where there are variations in density, and as a consequence, erroneous dose e...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/172298 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/172298 |
| Access Level: | acceso abierto |
| Palabra clave: | Radiotherapy treatment planning Prostate cancer treatment MCNP6 Monte Carlo Brachytherapy 125I seeds 177Lu-PSMA INGENIERIA NUCLEAR 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación |
| Sumario: | [EN] Radiation Therapy Planning Systems (RTPS) presently operating in hospitals comprise algorithms founded on deterministic simplifications that do not correctly take into account electron lateral transport in the regions where there are variations in density, and as a consequence, erroneous dose estimations could be generated. According to this, the possibility of using the Monte Carlo (MC) method in radiation planning systems is proposed in this work, since this technique could affect positively on the patient treatment. The proposed methodology provides 3D dose results that are more accurate and considers the inhomogeneities density variations. This paper presents a MC simulation of two different prostate cancer treatments using the latest version of MCNP, v.6.1.1; brachytherapy with I-125 seeds and radiolabeled Lu-177-PSMA. To that, a 3D model of the anatomy of a real anonymized patient is created from the segmentation of Computed Tomography (CT) images. Treatments over this 3D model is simulated and the dose given to the prostate and each surrounding organ is obtained for both treatments. Results have been verified with doses calculated by deterministic planning system used in hospital in the case of brachytherapy treatment, demonstrating the efficiency of MC method in the development of radiation cancer treatments, not only because of the results accuracy but also concerning the clinical affordable computing times |
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