3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 412-415)
АУТОР(И) / AUTHOR(S): Filip Andrić, Milena Živković, Tatjana Miladinović, Aleksandar Miladinović, Dragana Krstić, Ana Krstić, Katarina Janković, Katarina Krasić, Marija Živković Radojević, Neda Milosavljević, Grujić Miloš
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DOI: 10.46793/ICCBIKG25.412A
САЖЕТАК / ABSTRACT:
Achieving optimal dose distribution is essential in prostate radiotherapy, particularly with hypofractionated regimens. In this study, we present an AI-assisted dose optimisation framework, FOTELP-VOX-GA, integrating Monte Carlo simulation with a Genetic Algorithm. Comparing to a patient-specific VMAT (Volumetric Modulated Arc Therapy) plan, the method yielded dose estimates for the iliac bones, showing lower mean doses (1977.51 cGy) than those calculated by the Eclipse TPS (2092.1 cGy and 2085.3 cGy). The genetic optimization process achieved clinically acceptable deviations (2–10%) from prescribed doses to the tumor and surrounding tissues. These findings highlight the value of FOTELP-VOX-GA in supporting safe and personalized radiotherapy planning.
КЉУЧНЕ РЕЧИ / KEYWORDS:
Radiotherapy optimization, Prostate cancer, FOTELP-VOX-GA
ПРОЈЕКАТ / ACKNOWLEDGEMENT:
This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia through the Agreements No. 451-03-137/2025- 03/200122 and No. 451-03-136/2025-03/200122.
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