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Journal . 2024
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RADIOTHERAPY 3D ISODOSEZONES GRAPHICAL OPTIMIZATION FOR HYPERFRACTIONATED TREATMENT PLANNING DOSIMETRY IN LUNG AND HEAD-NECK TUMORS WITH BIOLOGICAL EFFECTIVE DOSE MODEL

Authors: Francisco Casesnoves;

RADIOTHERAPY 3D ISODOSEZONES GRAPHICAL OPTIMIZATION FOR HYPERFRACTIONATED TREATMENT PLANNING DOSIMETRY IN LUNG AND HEAD-NECK TUMORS WITH BIOLOGICAL EFFECTIVE DOSE MODEL

Abstract

In recent lung and prostate cancer-radiotherapy contributions, [101-5], 3D imaging-processing Isodosezones [ Casesnoves, 2022 ], delimited by 3D Isodoselines were explained in lung cancer and other tumor types, such as prostate or lung. 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, from [ Casesnoves, May 7th, 2024 ], and engineered software is perfectioned-developed for numerical hyperfractionated 3D TPO lung and head-neck cancer imaging-processing with upgraded previous database. Mathematical algorithms are explained-detailed. Developed programming patters and arrays are briefed. A series of imaging-processing graphics results obtained with the 3D Isodosezones Pareto-Multiobjective Optimization programming database are shown and explained in detailed. Applications in radiotherapy-oncology medical physics are subsequently briefed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research