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基于红外标记的万向直线加速器混合动态肿瘤跟踪放疗中的分次内跟踪精度。

Intrafractional tracking accuracy in infrared marker-based hybrid dynamic tumour-tracking irradiation with a gimballed linac.

作者信息

Mukumoto Nobutaka, Nakamura Mitsuhiro, Yamada Masahiro, Takahashi Kunio, Tanabe Hiroaki, Yano Shinsuke, Miyabe Yuki, Ueki Nami, Kaneko Shuji, Matsuo Yukinori, Mizowaki Takashi, Sawada Akira, Kokubo Masaki, Hiraoka Masahiro

机构信息

Department of Radiation Oncology and Image-applied Therapy, Kyoto University Graduate School of Medicine, Japan.

Department of Radiation Oncology and Image-applied Therapy, Kyoto University Graduate School of Medicine, Japan.

出版信息

Radiother Oncol. 2014 May;111(2):301-5. doi: 10.1016/j.radonc.2014.02.018. Epub 2014 Apr 17.

DOI:10.1016/j.radonc.2014.02.018
PMID:24746563
Abstract

PURPOSE

To verify the intrafractional tracking accuracy in infrared (IR) marker-based hybrid dynamic tumour tracking irradiation ("IR Tracking") with the Vero4DRT.

MATERIALS AND METHODS

The gimballed X-ray head tracks a moving target by predicting its future position from displacements of IR markers in real-time. Ten lung cancer patients who underwent IR Tracking were enrolled. The 95th percentiles of intrafractional mechanical (iEM(95)), prediction (iEP(95)), and overall targeting errors (iET(95)) were calculated from orthogonal fluoroscopy images acquired during tracking irradiation and from the synchronously acquired log files.

RESULTS

Averaged intrafractional errors were (left-right, cranio-caudal [CC], anterior-posterior [AP])=(0.1mm, 0.4mm, 0.1mm) for iEM(95), (1.2mm, 2.7mm, 2.1mm) for iEP(95), and (1.3mm, 2.4mm, 1.4mm) for iET(95). By correcting systematic prediction errors in the previous field, the iEP(95) was reduced significantly, by an average of 0.4mm in the CC (p<0.05) and by 0.3mm in the AP (p<0.01) directions.

CONCLUSIONS

Prediction errors were the primary cause of overall targeting errors, whereas mechanical errors were negligible. Furthermore, improvement of the prediction accuracy could be achieved by correcting systematic prediction errors in the previous field.

摘要

目的

使用Vero4DRT验证基于红外(IR)标记的混合动态肿瘤跟踪照射(“IR跟踪”)中的分次内跟踪准确性。

材料与方法

万向节X射线头通过实时根据IR标记的位移预测移动目标的未来位置来跟踪移动目标。招募了10名接受IR跟踪的肺癌患者。根据跟踪照射期间采集的正交荧光透视图像和同步采集的日志文件计算分次内机械误差(iEM(95))、预测误差(iEP(95))和总体靶向误差(iET(95))的第95百分位数。

结果

iEM(95)的平均分次内误差为(左右、头脚[CC]、前后[AP])=(0.1毫米、0.4毫米、0.1毫米),iEP(95)为(1.2毫米、2.7毫米、2.1毫米),iET(95)为(1.3毫米、2.4毫米、1.4毫米)。通过校正前一野中的系统预测误差,iEP(95)显著降低,在CC方向平均降低0.4毫米(p<0.05),在AP方向平均降低0.3毫米(p<0.01)。

结论

预测误差是总体靶向误差的主要原因,而机械误差可忽略不计。此外,通过校正前一野中的系统预测误差可提高预测准确性。

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