Dose painting by means of Monte Carlo treatment planning at the voxel level

被引：8
作者：
Jimenez-Ortega, E. [1 ,2 ]
Ureba, A. [2 ,3 ]
Vargas, A. [1 ]
Baeza, J. A. [4 ]
Wals-Zurita, A. [5 ]
Garcia-Gomez, J. [6 ]
Barbeiro, A. R. [1 ,2 ]
Leal, A. [1 ,2 ]
机构：
[1] Univ Seville, Dept Fisiol Med & Biofis, Seville, Spain
[2] IBIS, Inst Biomed Sevilla, Seville, Spain
[3] Stockholm Univ, Karolinska Inst, Med Radiat Phys, Stockholm, Sweden
[4] Maastricht Univ, Med Ctr, Dept Radiat Oncol, Maastricht, Netherlands
[5] Hosp Univ Virgen Macarena, Serv Radioterapia, Seville, Spain
[6] Hosp Univ Virgen Macarena, Serv Med Nucl, Seville, Spain
来源：
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | 2017年 / 42卷
关键词：
Dose painting by numbers; Dose painting by contour; Linear programming optimization; Monte Carlo dose calculation; GEOMETRIC UNCERTAINTIES; NUMBERS; OPTIMIZATION; ROBUST; RADIOTHERAPY; FEASIBILITY; SENSITIVITY; CANCER; SYSTEM; TUMORS;
D O I：
10.1016/j.ejmp.2017.04.005
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Purpose: To develop a new optimization algorithm to carry out true dose painting by numbers (DPBN) planning based on full Monte Carlo (MC) calculation. Methods: Four configurations with different clustering of the voxel values from PET data were proposed. An optimization method at the voxel level under Lineal Programming (LP) formulation was used for an inverse planning and implemented in CARMEN, an in-house Monte Carlo treatment planning system. Results: Beamlet solutions fulfilled the objectives and did not show significant differences between the different configurations. More differences were observed between the segment solutions. The plan for the dose prescription map without clustering was the better solution. Conclusions: LP optimization at voxel level without dose-volume restrictions can carry out true DPBN planning with the MC accuracy. (C) 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：339 / 344
页数：6
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