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Evaluation of CyberKnife® Fiducial Tracking Limitations to Assist Targeting Accuracy: A Phantom Study with Fiducial Displacement

机译:评估Cyber​​Knife®基准跟踪限制以辅助瞄准精度:基准位移的幻像研究

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摘要

Introduction The underlying assumptions of the CyberKnife® (Accuray, Sunnyvale, CA, US) fiducial tracking system are: i) fiducial positions are accurately detected; ii) inter-fiducial geometry remains consistent (rigid); iii) inter-fiducial geometric array changes are detected and either accommodated with corrections or treatment is interrupted. However: i) soft-tissue targets are deformable & fiducial migration is possible; ii) the accuracy of the tracking system has not previously been examined with fiducial displacement; iii) treatment interruptions may occur due to inter-fiducial geometric changes, but there is little information available to assist subsequent troubleshooting. The purpose of this study was to emulate a clinical target defined with a two, three, or four-fiducial array where one fiducial is displaced to mimic a target deformation or fiducial migration scenario. The objectives: evaluate the fiducial positioning accuracy, array interpretation, & corresponding corrections of the CyberKnife system, with the aim of assisting troubleshooting following fiducial displacement.MethodsA novel solid-water phantom was constructed with three fixed fiducials (F1,F2,F3) & one moveable fiducial (F4), arranged as if placed to track an imaginary clinical target. Using either two fiducials (F1,F4), different combinations of three fiducials (F1,F2,F4; F1,F3,F4; F2,F3,F4) or four fiducials (F1,F2,F3,F4), repeat experiments were conducted where F4 was displaced inferiorly at 2-mm intervals from 0-16 mm. Data were acquired at each position of F4, including rigid body errors (RBE), fiducial x, y, & z coordinate displacements, six degrees of freedom (DOF) corrections, & robot center-of-mass (COM) translation corrections.ResultsMaximum positioning difference (mean±SD) between the reference and live x, y, & z coordinates for the three fixed fiducials was 0.08±0.30 mm, confirming good accuracy for fixed fiducial registration. For two fiducials (F1,F4), F4 registration was accurate to 14-mm displacement and the F4 x-axis coordinate change was 2.0±0.12 mm with each 2 mm inferior displacement validating the phantom for tracking evaluation. RBE was >5 mm (system threshold) at 6-14 mm F4 displacement: however, F1 was misidentified as the RBE main contributor. Further, F1/F4 false-lock occurred at 16 mm F4 displacement with corresponding RBE <3 mm & COM corrections >13 mm. For combinations of three fiducials, F4 registration was accurate to 10-mm displacement. RBE was >5 mm at 6-16 mm F4 displacement: however, F4 false-lock occurred at 12-16 mm with RBE 5-6 mm. For four fiducials, F4 registration was accurate to 4 mm displacement: however, F4 false-lock occurred at 6-16 mm displacement with concerning RBE <2 & <5 at 6 & 8-mm F4 displacement, respectively. False-locks were easily identified in the phantom but frequently uncorrectable.ConclusionsResults indicate fiducial positioning accuracy and system output following fiducial displacement depends on the number of fiducials correlated, displacement distance, and clinical thresholds applied. Displacements ≤4 mm were accurately located, but some displacements 6-16 mm were misrepresented, either by erroneous main contributor (two-fiducial array only) or by false-locks and misleading RBE, which underestimated displacement. Operator vigilance and implementation of our practical guidelines based on the study findings may help reduce targeting error and assist troubleshooting in clinical situations.
机译:简介Cyber​​Knife®(Accuray,Sunnyvale,CA,US)基准跟踪系统的基本假设是:i)基准位置得到准确检测; ii)基准之间的几何形状保持一致(刚性); iii)检测到基准之间的几何阵列变化,并进行校正或中断治疗。但是:i)软组织靶标是可变形的,可以进行基准迁移; ii)跟踪系统的精度以前未通过基准位移进行过检查; iii)由于基准点之间的几何变化可能会导致治疗中断,但是几乎没有可用的信息来帮助后续的故障排除。这项研究的目的是模拟由两个,三个或四个基准阵列定义的临床目标,其中一个基准被置换以模仿目标变形或基准迁移场景。目的:评估Cyber​​Knife系统的基准定位精度,阵列解释和相应的校正,以协助在基准位移后进行故障排除。方法用三个固定的基准(F1,F2,F3)构造一个新颖的固态水模。一个可移动的基准(F4),其排列方式类似于跟踪虚构的临床目标。使用两个基准点(F1,F4),三个基准点(F1,F2,F4,F1,F3,F4,F2,F3,F4)或四个基准点(F1,F2,F3,F4)的不同组合,进行重复实验进行F4在0-16毫米之间以2毫米的间隔向下移位的情况。在F4的每个位置都获取了数据,包括刚体误差(RBE),基准x,y和z坐标位移,六个自由度(DOF)校正以及机器人质量中心(COM)平移校正。三个固定基准的参考坐标与实时x,y和z坐标之间的位置差(平均值±SD)为0.08±0.30 mm,这确认了固定基准对位的良好准确性。对于两个基准点(F1,F4),F4配准精确到14毫米位移,并且F4 x轴坐标变化为2.0±0.12毫米,每2毫米以下的位移验证了体模进行跟踪评估。在6-14 mm F4位移下,RBE> 5 mm(系统阈值):但是,F1被误认为是RBE的主要贡献者。此外,F1 / F4错误锁定发生在16 mm F4位移处,相应的RBE <3 mm,COM校正值> 13 mm。对于三个基准的组合,F4定位精确到10毫米位移。在6-16毫米F4位移下RBE> 5毫米:但是,在6-16毫米RBE为5-6毫米时发生F4错误锁定。对于四个基准点,F4定位精确到4 mm位移:但是,在6-16 mm位移下发生F4假锁定,分别在6和8mm F4位移下的RBE <2&<5。假锁很容易在幻像中识别出来,但经常无法纠正。结论结果表明,基准定位精度和基准位移后的系统输出取决于相关基准的数量,位移距离和所应用的临床阈值。准确定位了≤4mm的位移,但通过错误的主要贡献者(仅限于两个基准阵列)或由于误锁和误导性RBE(误认为位移低)而误报了一些6-16 mm的位移。操作员保持警惕并根据研究结果实施我们的实用指南,可帮助减少定位错误并在临床情况下帮助解决问题。

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