Radiotherapy 3D Isodosezones Graphical Optimization for Hyperfractionated Treatment Planning in Lung and Prostate Tumors with Bed Pareto-Multiobjective Model Dataset-Reference-Cited by-同舟云学术

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

Published:2024-07-13 Issue:4 Volume:11 Page:89-103
ISSN:2395-602X
Container-title:International Journal of Scientific Research in Science and Technology
language:
Short-container-title:Int J Sci Res Sci & Technol

Author:

Francisco Casesnoves

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.

Publisher

Technoscience Academy

Reference104 articles.

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