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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Intrafractional tracking accuracy in infrared marker-based hybrid dynamic tumour-tracking irradiation with a gimballed linac
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Intrafractional tracking accuracy in infrared marker-based hybrid dynamic tumour-tracking irradiation with a gimballed linac

机译:万向节直线加速器的基于红外标记的混合动态肿瘤跟踪照射中的分数内跟踪精度

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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 (iEM95), prediction (iEP95), and overall targeting errors (iET95) 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]) = (0.1 mm, 0.4 mm, 0.1 mm) for iEM95, (1.2 mm, 2.7 mm, 2.1 mm) for iEP95, and (1.3 mm, 2.4 mm, 1.4 mm) for iET95. By correcting systematic prediction errors in the previous field, the iEP95 was reduced significantly, by an average of 0.4 mm in the CC (p < 0.05) and by 0.3 mm 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.
机译:目的通过Vero4DRT验证基于红外(IR)标记的混合动态肿瘤跟踪照射(“ IR跟踪”)中的分数内跟踪精度。材料和方法球形X射线头通过实时根据IR标记的位移预测移动目标,从而跟踪移动目标。招募了十名接受IR追踪的肺癌患者。根据在跟踪照射过程中获取的正交荧光透视图像以及同步获取的日志文件,计算出分数内机械(iEM95),预测(iEP95)和总体靶向误差(iET95)的第95个百分点。结果iEM95的平均分数内误差为(左右,颅尾[CC],前后[AP])=(0.1 mm,0.4 mm,0.1 mm),iEP95的平均分数误差为(1.2 mm,2.7 mm,2.1 mm)和iET95的(1.3 mm,2.4 mm,1.4 mm)。通过纠正先前领域中的系统预测误差,iEP95显着降低,CC方向平均降低0.4 mm(p <0.05),AP方向平均降低0.3 mm(p <0.01)。结论预测误差是造成总体目标误差的主要原因,而机械误差则可以忽略不计。此外,可以通过校正先前领域中的系统预测误差来实现预测精度的提高。

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