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eNAL++:一种用于使用机器人治疗床时旋转设置误差的新型有效离线校正协议。

eNAL++: a new and effective off-line correction protocol for rotational setup errors when using a robotic couch.

作者信息

Martens Daan, Luesink Mark, Huizenga Henk, Pasma Kasper L

机构信息

Radboud University Medical Centre.

出版信息

J Appl Clin Med Phys. 2015 Nov 8;16(6):177-185. doi: 10.1120/jacmp.v16i6.5583.

Abstract

Cone-beam CTs (CBCTs) installed on a linear accelerator can be used to provide fast and accurate automatic six degrees of freedom (6DoF) vector displacement information of the patient position just prior to radiotherapy. These displacement corrections can be made with 6DoF couches, which are primarily used for patient setup correction during stereotactic treatments. When position corrections are performed daily prior to treatment, the correction is deemed "online". However, the interface between the first generation 6DoF couches and the imaging software is suboptimal. The system requires the user to select manually the patient and type the match result by hand. The introduction of 6DoF setup correction for treatments, other than stereotactic radiotherapy, is hindered by both the high workload associated with the online protocol and the interface issues. For these reasons, we developed software that fully integrates the 6DoF couch with the linear accelerator. To further reduce both the workload and imaging dose, three off-line 6DoF correction protocols were analyzed. While the protocols require significantly less imaging, the analysis assessed their ability to reduce the systematic rotation setup correction. CBCT scans were acquired for 19 patients with intracranial meningioma. The total number of CBCT scans was 856, acquired before and after radiotherapy treatment fractions. The patient positions were corrected online using a 6DoF robotic couch. The effects on the residual rotational setup error for three off-line protocols were simulated. The three protocols used were two known off-line protocols, the no action level (NAL) and the extended no action level (eNAL), and one new off-line protocol (eNAL++). The residual setup errors were compared using the systematic and random components of the total setup error. The reduction of the rotational setup error of these protocols was optimized with respect to the required workload (i.e., number of CBCTs required). Rotational errors up to 3.2° were found after initial patient setup. The eNAL++ protocol achieved a reduction of the systematic rotational setup error similar to that of the online protocol (pitch from 0.8° to 0.3°), while requiring 70% fewer CBCTs. With a 6DoF robotic couch, translation, and rotation patient position corrections can be performed off-line to reduce the systematic setup error, workload, and patient scan dose.

摘要

安装在线性加速器上的锥形束CT(CBCT)可用于在放疗前快速准确地提供患者位置的自动六自由度(6DoF)矢量位移信息。这些位移校正可通过六自由度治疗床进行,该治疗床主要用于立体定向治疗期间的患者摆位校正。当在每日治疗前进行位置校正时,这种校正被视为“在线”校正。然而,第一代六自由度治疗床与成像软件之间的接口并不理想。该系统要求用户手动选择患者并手动输入匹配结果。除立体定向放疗外,六自由度摆位校正用于其他治疗时,受到在线协议相关的高工作量和接口问题的阻碍。出于这些原因,我们开发了将六自由度治疗床与线性加速器完全集成的软件。为了进一步减少工作量和成像剂量,我们分析了三种离线六自由度校正协议。虽然这些协议所需的成像显著减少,但分析评估了它们减少系统旋转摆位校正的能力。对19例颅内脑膜瘤患者进行了CBCT扫描。CBCT扫描总数为856次,在放疗分次治疗前后进行采集。使用六自由度机器人治疗床对患者位置进行在线校正。模拟了三种离线协议对残余旋转摆位误差的影响。使用的三种协议是两种已知的离线协议,即无动作水平(NAL)和扩展无动作水平(eNAL),以及一种新的离线协议(eNAL++)。使用总摆位误差的系统和随机分量比较残余摆位误差。针对所需工作量(即所需CBCT的数量)对这些协议的旋转摆位误差减少进行了优化。初始患者摆位后发现旋转误差高达3.2°。eNAL++协议实现的系统旋转摆位误差减少与在线协议相似(俯仰从0.8°降至0.3°),同时所需的CBCT减少70%。使用六自由度机器人治疗床,可以离线进行平移和旋转患者位置校正,以减少系统摆位误差、工作量和患者扫描剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fea/5690996/7277f9f66ad6/ACM2-16-177-g001.jpg

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