In a clinical linear accelerator (linac), the practical performance of the X-ray beam profile, in conjunction with its specific beamline configuration, is crucial to ensuring consistent lateral profiles of photon beams. Considering this aspect, photon beam data are analyzed in this study both quantitatively and qualitatively using a Varian True Beam Linear Accelerator with and without a flattening filter. The dosimetric properties of 6 and 10 MV photon beams are examined, focusing on comparing beam energies and associated data with the flattening filter (FF) and flattening filter free (FFF). Key dosimetric parameters, including percentage depth dose, beam flatness, symmetry, quality index, comparative output factor, and penumbra, are calculated. The resultant dosimetric evaluations are applied to a brain tumor treatment, along with an analysis of their impact on surrounding healthy organs, using an AI-assisted Monte Carlo simulation model. Effects of beam characteristics on brain tumors, such as dose distribution, radiation absorbance, and treatment efficacy, are assessed through comparative approach with actual patient data.
Khan et al. (Thu,) studied this question.
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