University of Miami Miller School of Medicine.
J Appl Clin Med Phys. 2016 May 8;17(3):304-312. doi: 10.1120/jacmp.v17i3.6089.
Advances in magnetic resonance imaging (MRI) sequences allow physicians to define the dominant intraprostatic lesion (IPL) in prostate radiation therapy treat-ments allowing for dose escalation and potentially increased tumor control. This work quantifies the margin required around the MRI-defined IPL accounting for both prostate motion and deformation. Ten patients treated with a simultaneous integrated intraprostatic boost (SIIB) were retrospectively selected and replanned with incremental 1 mm margins from 0-5 mm around the IPL to determine if there were any significant differences in dosimetric parameters. Sensitivity analysis was then performed accounting for random and systematic uncertainties in both prostate motion and deformation to ensure adequate dose was delivered to the IPL. Prostate deformation was assessed using daily CBCT imaging and implanted fiducial markers. The average IPL volume without margin was 2.3% of the PTV volume and increased to 11.8% with a 5 mm margin. Despite these changes in vol-ume, the only statistically significant dosimetric difference was found for the PTV maximum dose, which increased with increasing margin. The sensitivity analysis demonstrated that a 3.0 mm margin ensures > 95% IPL coverage accounting for both motion and deformation. We found that a margin of 3.0 mm around the MRI defined IPL is sufficient to account for random and systematic errors in IPL posi-tion for the majority of cases.
磁共振成像(MRI)序列的进步使医生能够在前列腺放射治疗中定义主要的前列腺内病变(IPL),从而实现剂量升级并有可能提高肿瘤控制率。这项工作量化了 MRI 定义的 IPL 周围所需的边缘,同时考虑了前列腺运动和变形。回顾性选择了 10 名接受同步整合前列腺内增强(SIIB)治疗的患者,并在 IPL 周围从 0-5mm 以 1mm 为增量进行重新计划,以确定在剂量学参数上是否存在任何显著差异。然后进行了灵敏度分析,同时考虑了前列腺运动和变形的随机和系统不确定性,以确保 IPL 获得足够的剂量。使用每日锥形束 CT 成像和植入的基准标记来评估前列腺变形。无边缘的 IPL 平均体积为 PTV 体积的 2.3%,增加到 5mm 边缘时为 11.8%。尽管体积发生了这些变化,但唯一具有统计学意义的剂量学差异是 PTV 最大剂量,随着边缘的增加而增加。灵敏度分析表明,3.0mm 边缘可确保 >95%的 IPL 覆盖率,同时考虑到运动和变形的影响。我们发现,对于大多数病例,MRI 定义的 IPL 周围 3.0mm 的边缘足以考虑 IPL 位置的随机和系统误差。