Radiotherapy 3D Isodosezones Graphical Optimization for Hyperfractionated Treatment Planning in Lung and Prostate Tumors with Bed Pareto-Multiobjective Model Dataset

Francisco Casesnoves

International Journal of Scientific Research in Science and Technology, 2024, vol. 11, issue 4, 89-103

Abstract: In a recent contributions, [102], 3D imaging-processing Isodosezones [ Casesnoves, 2022 ], delimited by 3D Isodoselines were explained in lung cancer and other tumor types, such a sprostate. The radiotherapy model applied was the classical BED one algorithm. Modern biological-model-based Treatment Planning Optimization can get objective improvements by using Isodosezones/lines when selecting the optimal dose delivery/schedule for any personalized treatment. Improved programming, [ Casesnoves, May 7th, 2024 ], and engineered software was developed for numerical hyperfractionated 3D TPO lung and prostate cancer imaging-processing database. Mathematical algorithms are detailed. A series of graphics results obtained with the 3D Imaging-Isodosezones Pareto-Multiobjective Optimization programming is shown and detailed. Applications in radiotherapy medical physics are subsequently briefed. An illustrative review of previous cancer studies with 3DInverse and 3DGraphical Optimization is included.

Keywords: Biological Effective Dose Models; Pareto-Multiobjective Optimization; Radiation Therapy Optimization; Radiation Therapy Optimization Nonlinear Optimization; Radiotherapy Treatment Planning Optimization; Artificial Intelligence; Genetic Algorithms (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v11:y2024:i4:id:261

DOI: 10.32628/IJSRST24114105

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