External beam radiotherapy cone beam computed tomography-based dose calculation

被引:0
作者
Barateau, Anais [1 ,2 ]
Celeste, Marc [3 ]
Lafond, Caroline [1 ,2 ,3 ]
Henry, Olivier [3 ]
Couespel, Solene [3 ]
Simon, Antoine [1 ,2 ]
Acosta, Oscar [1 ,2 ]
de Crevoisier, Renaud [1 ,2 ,3 ]
Perichon, Nicolas [3 ]
机构
[1] INSERM, U1099, Campus Beaulieu,263 Ave Gen Leclerc, F-35000 Rennes, France
[2] Univ Rennes 1, LTSI, Campus Beaulieu,263 Ave Gen Leclerc,CS 74205, F-35042 Rennes, France
[3] Ctr Eugene Marquis, Dept Radiotherapie, Rue Bataille Flandres Dunkerque,CS 44229, F-35042 Rennes, France
来源
CANCER RADIOTHERAPIE | 2018年 / 22卷 / 01期
关键词
D O I
10.1016/j.canrad.2017.12.001
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
In external beam radiotherapy, the dose planning is currently based on computed tomography (CT) images. A relation between Hounsfield numbers and electron densities (or mass densities) is necessary for dose calculation taking heterogeneities into account. In image-guided radiotherapy process, the cone beam CT is classically used for tissue visualization and registration. Cone beam CT for dose calculation is also attractive in dose reporting/monitoring perspectives and particularly in a context of dose-guided adaptive radiotherapy. The accuracy of cone beam CT-based dose calculation is limited by image characteristics such as quality, Hounsfield numbers consistency and restrictive sizes of volume acquisition. The analysis of the literature identifies three kinds of strategies for cone beam CT-based dose calculation: establishment of Hounsfield numbers versus densities curves, density override to regions of interest, and deformable registration between CT and cone beam CT images. Literature results show that discrepancies between the reference CT-based dose calculation and the cone beam CT-based dose calculation are often lower than 3%, regardless of the method. However, they can also reach 10% with unsuitable method. Even if the accuracy of the cone beam CT-based dose calculation is independent of the method, some strategies are promising but need improvements in the automating process for a routine implementation. (C) 2017 Societe francaise de radiotherapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:105 / 105
页数:1
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