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Monte Carlo characterization of materials for prosthetic implants and dosimetric validation of Pinnacle(3) TPS

Palleri, Francesca, Baruffald, Fabio, Angelini, Anna Lisa, Ferri, Andrea and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2008. Monte Carlo characterization of materials for prosthetic implants and dosimetric validation of Pinnacle(3) TPS. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 266 (23) , pp. 5001-5006. 10.1016/j.nimb.2008.08.013

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Abstract

In external beam radiotherapy the calculation of dose distribution for patients with hip prostheses is critical. Metallic implants not only degrade the image quality but also perturb the dose distribution. Conventional treatment planning systems do not accurately account for high-Z prosthetic implants heterogeneities, especially at interfaces. The materials studied in this work have been chosen on the basis of a statistical investigation on the hip prostheses implanted in 70 medical centres. The first aim of this study is a systematic characterization of materials used for hip prostheses, and it has been provided by BEAMnrc Monte Carlo code. The second aim is to evaluate the capabilities of a specific treatment planning system, Pinnacle3, when dealing with dose calculations in presence of metals, also close to the regions of high-Z gradients. In both cases it has been carried out an accurate comparison versus experimental measurements for two clinical photon beam energies (6 MV and 18 MV) and for two experimental sets-up: metallic cylinders inserted in a water phantom and in a specifically built PMMA slab. Our results show an agreement within 2% between experiments and MC simulations. TPS calculations agree with experiments within 3%.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: Q Science > QC Physics
R Medicine > R Medicine (General)
Uncontrolled Keywords: Hip prosthesis; Dose calculation; Treatment planning system; BEAMnrc Monte Carlo code
Publisher: Elsevier
Last Modified: 28 Oct 2022 08:54
URI: https://orca.cardiff.ac.uk/id/eprint/72567

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