Tumor Motion Prediction and Tracking in Adaptive Radiotherapy

Ivan Buzurovic, T. Podder, Ke Huang, Yan Yu
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引用次数: 24

Abstract

Respiratory and cardiac motions induce displacement and deformation of the tumor-volume in various internal organs. To accommodate this undesired movement and other errors, physicians incorporate a large margin around the tumor to delineate Planning Target Volume (PTV), so that the Clinical Target Volume (CTV) receives the prescribed radiation dose under any scenario. Consequently, a large volume of healthy tissue is irradiated and sometimes it is difficult to spare critical organs adjacent to the tumor. In this study we have proposed a novel approach to 4D Active Tracking and Dynamic Delivery (ATDD) together with tumor motion prediction. Proposed algorithm can predict tumor position and the robotic system can continuously track the tumor during radiation dose delivery, so that a precise dose is given to a moving target while reducing dose to nearby critical organs for improved patient treatment outcome. The efficacy of the proposed method has been investigated by extensive computer simulation. The results have been presented in this article.
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适应性放疗中肿瘤运动预测与跟踪
呼吸和心脏运动可引起体内各器官肿瘤体积的移位和变形。为了适应这种不希望的移动和其他错误,医生在肿瘤周围加入一个大的边界来划定计划靶体积(PTV),以便临床靶体积(CTV)在任何情况下都能接受规定的辐射剂量。因此,大量的健康组织被照射,有时很难保留肿瘤附近的关键器官。在这项研究中,我们提出了一种新的4D主动跟踪和动态递送(ATDD)方法以及肿瘤运动预测。该算法可以预测肿瘤的位置,机器人系统可以在辐射剂量传递过程中持续跟踪肿瘤,从而在对运动目标进行精确剂量的同时减少对附近关键器官的剂量,从而提高患者的治疗效果。通过大量的计算机仿真研究了该方法的有效性。本文给出了研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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