Radiotherapy Hyperfractionated 3DIsodosezones Planning Optimization Method forLung Tumors withBED Pareto-Multiobjective Model

Abstract

3D Isodoselines and Isodosezones were presented in previous publication. Isodosezones were put out and applied on prostate tumors. In this further improvement, 3D Isodosezones are got with programming innovation with new software-engineering programming for lung cancer. BED model for radiotherapy hypofractionated treatment planning optimization is used. Interior Optimization (IO) for lung tumor BED model hyperfractionated Treatment Planning Optimization (TPO) application is further demonstrated. The implemented data was got with additional-dual constrained evolutionary algorithm for BED-LQ model (Biological Effective Dose) in this cancer type. Results for TPO with 3D IO-Graphical Optimization show a number of surfactal IO 3D Isodoselines/zones with proven accuracy-feasibility of the novelty of the technique. Programming software for surfactal-isodoselines/zones methods solutions show a series of 3D IO graphs for TPO. Applications for lung tumors radiotherapy and stereotactic radiosurgery treatments are briefed.