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OAR predicted dose distribution and gEUD based treatment planning optimization for IMRT / 中华放射医学与防护杂志
Chinese Journal of Radiological Medicine and Protection ; (12): 422-427, 2019.
Artículo en Chino | WPRIM | ID: wpr-754984
ABSTRACT
Objective To propose a treatment planning optimization algorithm which can make full use of OAR dose distribution prediction meanwhile improving the output planning quality as much as possible.Methods We had reformulated an FMO function under the guidance of dose distribution prediction and also integrated equivalent uniform dose (gEUD) based on the consideration of prediction uncertainty,for providing optimal solution.Performance of the method was evaluated by comparing the optimized IMRT plan quality of 8 cervical cancers in the term of DVH curves,dose distribution and dosimetric endpoints with the original ones.Results The proposed method had a feasible,fast solution.Compared with original plan,its output plan had better plan quality in better dose homogeneity,less hot spot and further dose sparing for OARs.V30,V45 of rectum was decreased by (6.60±3.53)% and (17.03±7.44)%,respectively,with the statistically significant difference (t=-4.954,-6.055,P<0.05).V30,V45 of bladder was decreased by (14.74 ± 5.61) % and (14.99 ± 4.53) %,respectively,with the statistically significant difference (t=-6.945,-8.759,P<0.05).Conclusions We have successfully developed a predicted dose distribution and equivalent uniform dose-based planning optimization method,which is able to make good use of 3D dose prediction and ensure the output plan quality for intensity modulated radiation therapy.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Guía de Práctica Clínica / Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Radiological Medicine and Protection Año: 2019 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Guía de Práctica Clínica / Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Radiological Medicine and Protection Año: 2019 Tipo del documento: Artículo