D'Souza Warren D, Meyer Robert R, Shi Leyuan
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
Phys Med Biol. 2004 Aug 7;49(15):3465-81. doi: 10.1088/0031-9155/49/15/011.
While the process of IMRT planning involves optimization of the dose distribution, the procedure for selecting the beam inputs for this process continues to be largely trial-and-error. We have developed an integer programming (IP) optimization method to optimize beam orientation using mean organ-at-risk (MOD) data from single-beam plans. Two test cases were selected in which one organ-at-risk (OAR) and four OARs were simulated, respectively, along with a PTV. Beam orientation space was discretized in 10 degrees increments. For each beam orientation, a single-beam plan without intensity modulation and without constraints on OAR dose was generated and normalized to yield a mean PTV dose of 2 Gy and the corresponding MOD was calculated. The degree of OAR sparing was related to the average OAR MODs resulting from the beam orientations utilized with improvements of up to 10% at some dose levels. On the other hand, OAR DVHs in the IMRT plans were insensitive to beam numbers (in the 6-9 range) for similar average single-beam MODs. These MOD data were input to an IP optimization process, which then selected specified numbers of beam angles as inputs to a treatment planning system. Our results show that sets of beam angles with lower average single-beam MODs produce IMRT plans with better OAR sparing than manually selected beam angles. To optimize beam orientations, weights were assigned to each OAR following MOD input to the IP which was subsequently solved using the branch-and-cut algorithm. Seven-beam orientations obtained from solving the IP were applied to the test case with four OARs and the resulting plan with a dose prescription of 63 Gy was compared with an equi-spaced beam plan. The IP selected beams produced dose-volume improvements of up to 40% for OARs proximal to the PTV. Further improvement in the DVH can be obtained by increasing the weights assigned to these OARs but at the expense of the remaining OARs.
虽然调强放疗(IMRT)计划的过程涉及剂量分布的优化,但为该过程选择射束输入的程序在很大程度上仍然是反复试验的。我们开发了一种整数规划(IP)优化方法,以利用单射束计划中的平均危及器官(MOD)数据来优化射束方向。选择了两个测试案例,分别模拟了一个危及器官(OAR)和四个OAR,以及一个计划靶体积(PTV)。射束方向空间以10度的增量进行离散化。对于每个射束方向,生成一个没有强度调制且对OAR剂量没有约束的单射束计划,并进行归一化处理,以使PTV平均剂量为2 Gy,并计算相应的MOD。OAR的 sparing程度与所使用射束方向产生的平均OAR MOD相关,在某些剂量水平下提高了10%。另一方面,对于类似的平均单射束MOD,IMRT计划中的OAR剂量体积直方图(DVH)对射束数量(在6 - 9范围内)不敏感。这些MOD数据被输入到IP优化过程中,然后该过程选择指定数量的射束角度作为治疗计划系统的输入。我们的结果表明,与手动选择的射束角度相比,具有较低平均单射束MOD的射束角度集产生的IMRT计划对OAR的 sparing效果更好。为了优化射束方向,在将MOD输入到IP后,为每个OAR分配权重,随后使用分枝定界算法求解该IP。从求解IP中获得的七个射束方向应用于有四个OAR的测试案例,并将剂量处方为63 Gy的所得计划与等间隔射束计划进行比较。IP选择的射束在PTV附近的OAR的剂量体积方面最多可提高40%。通过增加分配给这些OAR 的权重可以进一步改善DVH,但会以其余OAR为代价。