Liu Yunlong, Flynn Ryan T, Kim Yusung, Wu Xiaodong
Department of Electrical and Computer Engineering, University of Iowa, 4016 Seamans Center, Iowa City, Iowa 52242.
Department of Radiation Oncology, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 52242.
Med Phys. 2014 Nov;41(11):111709. doi: 10.1118/1.4897617.
It is important to reduce fluence map complexity in rotating-shield brachytherapy (RSBT) inverse planning to improve delivery efficiency while maintaining plan quality. This study proposes an efficient and effective RSBT dose optimization method which enables to produce smooth fluence maps.
Five cervical cancer patients each with a high-risk clinical-target-volume (HR-CTV) larger than 40 cm(3) were considered as the test cases. The RSBT source was a partially shielded electronic brachytherapy source (Xoft Axxent™). The anchor RSBT plans generated by the asymmetric dose-volume optimization with smoothness control (ADOS) method were compared against those produced by the dose-surface optimization (DSO) method and inverse-planning with simulated annealing (IPSA). Either L1-norm or L2-norm was used to measure the smoothness of a fluence map in the proposed ADOS method as one weighted term of the objective function. Uniform dwell-time scaling was applied to all plans such that HR-CTV D90 was maximized without violating the D2cc tolerances of the rectum, bladder, and sigmoid colon. The quality of the anchor plans was measured with HR-CTV D90 of the anchor plans. Single-shielded RSBT [(S-RSBT), RSBT with single, fix sized delivery window] and dynamic-sheilded RSBT [(D-RSBT), RSBT with dynamically varying sized delivery window] delivery plans generated based on the anchor plans were also measured, with delivery time constraints of 10, 20, and 30 min/fraction (fx).
The average HR-CTV D90 values of the anchor plans achieved by the ADOS, DSO, and IPSA methods were 111.5, 94.2, and 107.4 Gy, respectively, where the weighting parameter β used in ADOS with L2-norm was set to be 100. By using S-RSBT sequencing and 20 min/fx delivery time, the corresponding D90 values were 88.8, 81.9, and 83.4 Gy; while using D-RSBT sequencing with 20 min/fx delivery time, the corresponding D90 values were 91.4, 88.3, and 78.9 Gy, respectively. The average optimization times for ADOS, DSO, and IPSA were, respectively, 77, 4, and 1800 s. By using L1-norm instead of L2-norm in the ADOS method, the optimization time was increased by 20 s, while the D90 was reduced by 6.8 Gy on average. ADOS-L1 was found to be more sensitive to the weighting parameter than ADOS-L2. If β was increased to 10 000, the D90 drop with ADOS-L1 was 38 Gy, while the drop with ADOS-L2 is 13 Gy.
The ADOS method had a reasonable optimization time cost, while achieving comparable RSBT dose plans as the IPSA method, which is of much higher time complexity. Compared to the DSO and IPSA methods, ADOS is able to generate anchor plans which are more suitable for RSBT delivery while preserving the high quality of the original plans. Compared to ADOS-L1, ADOS-L2 is able to achieve better quality of anchor plans more efficiently.
在旋转屏蔽近距离放射治疗(RSBT)逆向计划中降低注量图的复杂性,对于提高治疗效率同时保持计划质量至关重要。本研究提出一种高效且有效的RSBT剂量优化方法,该方法能够生成平滑的注量图。
选取5例高危临床靶体积(HR-CTV)大于40 cm³的宫颈癌患者作为测试病例。RSBT源为部分屏蔽的电子近距离放射治疗源(Xoft Axxent™)。将通过带平滑度控制的非对称剂量体积优化(ADOS)方法生成的锚定RSBT计划与通过剂量表面优化(DSO)方法和模拟退火逆向计划(IPSA)生成的计划进行比较。在提出的ADOS方法中,使用L1范数或L2范数来测量注量图的平滑度,作为目标函数的一个加权项。对所有计划应用均匀驻留时间缩放,以使HR-CTV D90最大化,同时不违反直肠、膀胱和乙状结肠的D2cc耐受剂量。用锚定计划的HR-CTV D90来衡量锚定计划的质量。还测量了基于锚定计划生成的单屏蔽RSBT(S-RSBT,具有单个固定尺寸递送窗口的RSBT)和动态屏蔽RSBT(D-RSBT,具有动态变化尺寸递送窗口的RSBT)递送计划,递送时间限制为每分次10、20和30分钟(fx)。
ADOS、DSO和IPSA方法实现的锚定计划的平均HR-CTV D90值分别为111.5、94.2和107.4 Gy,其中在使用L2范数的ADOS中使用的加权参数β设置为100。通过使用S-RSBT排序和20分钟/fx的递送时间,相应的D90值分别为88.8、81.9和83.4 Gy;而使用20分钟/fx递送时间的D-RSBT排序时,相应的D90值分别为91.4、88.3和78.9 Gy。ADOS、DSO和IPSA平均优化时间分别为77、4和1800秒。在ADOS方法中使用L1范数代替L2范数时,优化时间增加了20秒,而D90平均降低了6.8 Gy。发现ADOS-L1比ADOS-L2对加权参数更敏感。如果β增加到10000,ADOS-L1的D90下降为38 Gy,而ADOS-L2的下降为13 Gy。
ADOS方法具有合理的优化时间成本,同时实现了与IPSA方法相当的RSBT剂量计划,而IPSA方法的时间复杂度要高得多。与DSO和IPSA方法相比,ADOS能够生成更适合RSBT递送的锚定计划,同时保持原始计划的高质量。与ADOS-L1相比,ADOS-L2能够更有效地实现更好质量的锚定计划。