Advanced Radiotherapy 3d Isodosezones Optimization for Hyperfractionated Treatment Planning Optimization in Lung Tumors with Repair-Tissue Factors Mathematical Review

In recent contributions, [102], precise 3D imaging-processing Isodosezones [Casesnoves, 2022], delimited by 3D Isodoselines were developed/explained in lung, head and neck, and prostate cancer. The radiotherapy model applied was the classical/initial BED one algorithm. Modern biological-model-based Treatment Planning Optimization can get objective improvements by using high-precision Isodosezones/lines when selecting the optimal dose delivery/schedule for any personalized treatment. This paper demonstrates improved imaging-processing programming techniques, [Casesnoves, May 7th, 2024], and engineered software which is developed for numerical hyperfractionated 3D TPO lung cancer treatment planning optimization database. Mathematical algorithms are detailed. Results show a series of graphics results obtained with the 3D Imaging-Isodosezones Pareto-Multiobjective Optimization programming is shown and detailed. Significances are complemented with a concise introductory/comparative section to explain/discuss the recent formulation/equations for tissue-repair factors in BED basic equation is initiated. Applications in radiotherapy medical physics are subsequently briefed.

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Publication Details

Journal
International Journal of Advanced Multidisciplinary Research and Studies
Published
2024-11-29
DOI
https://doi.org/10.62225/2583049x.2024.4.6.3474
Citations
1
Primary Topic
Chemical Reactions and Isotopes
Type
article
Field-Weighted Citation Impact
0.21
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article

Advanced Radiotherapy 3d Isodosezones Optimization for Hyperfractionated Treatment Planning Optimization in Lung Tumors with Repair-Tissue Factors Mathematical Review

Francisco Casesnoves
1 citations
International Journal of Advanced Multidisciplinary Research and Studies
Chemical Reactions and Isotopes
0.21
article

Advanced Radiotherapy 3d Isodosezones Optimization for Hyperfractionated Treatment Planning Optimization in Lung Tumors with Repair-Tissue Factors Mathematical Review

Francisco Casesnoves
article en
1 citations

Abstract

In recent contributions, [102], precise 3D imaging-processing Isodosezones [Casesnoves, 2022], delimited by 3D Isodoselines were developed/explained in lung, head and neck, and prostate cancer. The radiotherapy model applied was the classical/initial BED one algorithm. Modern biological-model-based Treatment Planning Optimization can get objective improvements by using high-precision Isodosezones/lines when selecting the optimal dose delivery/schedule for any personalized treatment. This paper demonstrates improved imaging-processing programming techniques, [Casesnoves, May 7th, 2024], and engineered software which is developed for numerical hyperfractionated 3D TPO lung cancer treatment planning optimization database. Mathematical algorithms are detailed. Results show a series of graphics results obtained with the 3D Imaging-Isodosezones Pareto-Multiobjective Optimization programming is shown and detailed. Significances are complemented with a concise introductory/comparative section to explain/discuss the recent formulation/equations for tissue-repair factors in BED basic equation is initiated. Applications in radiotherapy medical physics are subsequently briefed.

International Journal of Advanced Multidisciplinary Research and StudiesVol. 4(6)
Good health and well-being
Openalex Percentile: Top 48%
Chemical Reactions and Isotopes
0.21
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Advanced Radiotherapy 3d Isodosezones Optimization for Hyperfractionated Treatment Planning Optimization in Lung Tumors with Repair-Tissue Factors Mathematical Review — Francisco Casesnoves · International Journal of Advanced Multidisciplinary Research and Studies (2024) | TGRS Research Map | TGRS