A feedback constraint optimization method for intensity-modulated radiation therapy of nasopharyngeal carcinoma

Autor: Benxing Gu, Qinchuan Wang, Xiaonan Sun, Qinxuan Zhou, Dongliang Jiang, Yongwu Li, Guo-Zhi Shi
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Oncology Letters
ISSN: 1792-1082
1792-1074
Popis: Intensity-modulated radiation therapy (IMRT) is able to achieve good target conformance with a limited dose to organs at risk (OARs); however, IMRT increases the irradiation volume and monitor units (MUs) required. The present study aimed to evaluate the use of an IMRT plan with fewer segments and MUs, while maintaining quality in the treatment of nasopharyngeal carcinoma. In the present study, two types of IMRT plan were therefore compared: The direct machine parameter optimization (DMPO)-RT method and the feedback constraint DMPO-RT (fc_DMPO-RT) method, which utilizes compensative feedback constraint in DMPO-RT and maintains optimization. Plans for 23 patients were developed with identical dose prescriptions. Each plan involved synchronous delivery to various targets, with identical OAR constraints, by means of 7 coplanar fields. The average dose, maximum dose, dose-volume histograms of targets and the OAR, MUs of the plan, the number of segments, delivery time and accuracy were subsequently compared. The fc_DMPO-RT exhibited superior dose distribution in terms of the average, maximum and minimum doses to the gross tumor volume compared with that of DMPO-RT (t=62.7, 20.5 and 22.0, respectively; P
Databáze: OpenAIRE