Metallic implants in radiotherapy patients alter dose distributions due to their high density and unique composition, potentially compromising treatment precision. This study evaluates the effects of three metallic materials, Co-Cr-Mo alloy, titanium alloy, and stainless steel, on dose distribution across four radiotherapy modalities: 6 MV photons, 15 MeV electrons, 170 MeV protons, and very-high-energy electrons (100 and 150 MeV). Monte Carlo simulations in the TOol for PArticle Simulations Monte Carlo (TOPAS MC) generated percentage depth dose curves and dose profiles, with dosage data standardized to a reference point and uncertainties addressed via error propagation. Results revealed that the Co-Cr-Mo alloy produced the most significant alterations. For instance, at 100 MeV Very High Electron Energy (VHEE), the dose at a 15 cm depth was 34.57% lower than in water; 6 MV photons showed a 15.16% reduction, and the proton Bragg peak shifted 9.5 cm closer to the source. These pronounced changes along the central beam axis affected dose distributions anterior and posterior to the metal. A prostate cancer simulation further demonstrated considerable dose reduction with deeply embedded metallic implants. The findings underscore the critical impact of implant properties on radiotherapy dose distributions, emphasizing the need to integrate these factors into clinical protocols to improve dosimetric accuracy and treatment safety.

The purpose of the study was to design, develop, and implement an e-oncology: a technical solution based on self-management supportive treatment using a mobile communication device utilizing NFC technology. The goal was to optimize the process of treating oncology patients and make it more efficient. The idea of the designed system was to create a complex multifunctional mobile application that would help in their treatment and subsequently make the work of the medical staff easier. Direct attention was paid to the design and implementation of the NFC module itself, including the development and debugging of the mobile application, which was created for devices with the Android operating system. The developed system was successfully tested at a clinical- and radiation-oncology workplace for 60 days before implementation. In total, two oncology clinics and 100 patients were included in the testing process. Based on the relevant feedback, it can be concluded that the proposed system significantly shortened the waiting times for patients in the process of their oncology treatment and brought significant benefits in terms of more efficient use of the time of doctors, nurses, and especially patients.