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

International Journal of Scientific Research in Science and Technology Pub Date : 2024-07-13 DOI:10.32628/ijsrst24114105

Francisco Casesnoves

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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.

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利用床边帕累托多目标模型数据集进行肺癌和前列腺肿瘤超分割治疗计划的放疗三维等剂量区图形优化

最近的一篇论文[102]解释了肺癌和其他肿瘤类型（如前列腺癌）中由三维等剂量线划定的三维成像处理等剂量区[Casesnoves, 2022]。应用的放疗模型是经典的 BED one 算法。在为任何个性化治疗选择最佳剂量给药/计划时，基于生物模型的现代治疗计划优化可以通过使用等剂量区/线获得客观改进。2024年5月7日，[Casesnoves]，改进的编程和工程软件被开发用于数值超分割三维TPO肺癌和前列腺癌成像处理数据库。详细介绍了数学算法。详细介绍了三维成像-等碘区帕累托多目标优化编程获得的一系列图形结果。随后简要介绍了在放射治疗医学物理学中的应用。此外，还回顾了之前使用 3DInverse 和 3DGraphical Optimization 进行的癌症研究。

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International Journal of Scientific Research in Science and Technology

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