Zhou Jun, Yang Xiaofeng, Chang Chih-Wei, Tian Sibo, Wang Tonghe, Lin Liyong, Wang Yinan, Janopaul-Naylor James Robert, Patel Pretesh, Demoor John D, Bohannon Duncan, Stanforth Alex, Eaton Bree, McDonald Mark W, Liu Tian, Patel Sagar Anil
Department of Radiation Oncology, Emory University, Atlanta, Georgia.
Department of Medical Physics, Georgia Institute of Technology, Atlanta, Georgia.
Adv Radiat Oncol. 2021 Oct 4;7(1):100826. doi: 10.1016/j.adro.2021.100826. eCollection 2022 Jan-Feb.
While intensity modulated proton therapy can deliver simultaneous integrated boost (SIB) to the dominant intraprostatic lesion (DIL) with high precision, it is sensitive to anatomic changes. We investigated the dosimetric effects from these changes based on pretreatment cone-beam computed tomographic (CBCT) images and identified the most important factors using a multilayer perceptron neural network (MLPNN).
DILs were contoured based on coregistered multiparametric magnetic resonance images for 25 previously treated prostate cancer patients. SIB plans were created with (1) prostate clinical target volume - V70 Gy = 98%; (2) DIL - V98 Gy > 95%; and (3) all organs at risk (OARs)"?> within clinical constraints. SIB plans were applied to daily CBCT-based deformed planning computed tomography (CT)"?>. DIL - V98 Gy, bladder/rectum maximum dose (Dmax) and volume changes, femur shifts, and the distance from DIL to organs at riskOARs"?> in both planning computed tomogramsCT"?> and CBCT were calculated. Wilcoxon signed-ranks tests were used to compare the changes. MLPNNs were used to model the change in ΔDIL - V98 Gy > 10% and bladder/rectum Dmax > 80 Gy, and the relative importance factors for the model were provided. The performances of the models were evaluated with receiver operating characteristic curves.
Comparing initial plan to the average from evaluation plans, respectively, DIL - V98 Gy was 89.3% ± 19.9% versus 86.2% ± 21.3% ( = .151); bladder Dmax 71.9 ± 0.6 Gy versus 74.5 ± 2.9 Gy ( < .001); and rectum Dmax 70.1 ± 2.4 Gy versus 74.9 ± 9.1Gy ( = .007). Bladder and rectal volumes were 99.6% ± 39.5% and 112.8% ± 27.2%, respectively, of their initial volume. The femur shift was 3.16 ± 2.52 mm. In the modeling of ΔDIL V98 Gy > 10%, DIL to rectum distance changes, DIL to bladder distance changes, and rectum volume changes ratio are the 3 most important factors. The areas under the receiver operating characteristic curves were 0.89, 1.00, and 0.99 for the modeling of ΔDIL - V98 Gy > 10%, and bladder and rectum Dmax > 80 Gy, respectively.
Dosimetric changes in DIL SIB with intensity modulated proton therapy can be modeled and classified based on anatomic changes on pretreatment images by an MLPNN.
虽然调强质子治疗能够高精度地对前列腺内主要病灶(DIL)进行同步整合加量(SIB),但其对解剖结构变化较为敏感。我们基于治疗前锥形束计算机断层扫描(CBCT)图像研究了这些变化产生的剂量学影响,并使用多层感知器神经网络(MLPNN)确定了最重要的因素。
根据25例既往接受治疗的前列腺癌患者的配准多参数磁共振图像勾勒出DIL。创建SIB计划时满足以下条件:(1)前列腺临床靶体积-V70 Gy = 98%;(2)DIL - V98 Gy > 95%;(3)所有危及器官(OARs)在临床限制范围内。将SIB计划应用于基于每日CBCT的变形计划计算机断层扫描(CT)。计算在计划计算机断层扫描(CT)和CBCT中DIL - V98 Gy、膀胱/直肠最大剂量(Dmax)和体积变化、股骨移位以及DIL与危及器官(OARs)之间的距离。采用Wilcoxon符号秩检验比较变化情况。使用MLPNN对ΔDIL - V98 Gy > 10%和膀胱/直肠Dmax > 80 Gy的变化进行建模,并提供该模型的相对重要因素。通过接受者操作特征曲线评估模型的性能。
将初始计划与评估计划的平均值分别进行比较,DIL - V98 Gy分别为89.3% ± 19.9%和86.2% ± 21.3%(P = 0.151);膀胱Dmax分别为71.9 ± 0.6 Gy和74.5 ± 2.9 Gy(P < 0.001);直肠Dmax分别为70.1 ± 2.4 Gy和74.9 ± 9.1 Gy(P = 0.007)。膀胱和直肠体积分别为初始体积的99.6% ± 39.5%和112.8% ± 27.2%。股骨移位为3.16 ± 2.52 mm。在ΔDIL V98 Gy > 10%的建模中,DIL与直肠距离变化、DIL与膀胱距离变化以及直肠体积变化率是3个最重要的因素。对于ΔDIL - V98 Gy > 10%以及膀胱和直肠Dmax > 80 Gy的建模,接受者操作特征曲线下面积分别为0.89、1.00和0.99。
调强质子治疗的DIL SIB剂量学变化可通过MLPNN基于治疗前图像的解剖结构变化进行建模和分类。