CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy.
CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy.
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DOI：
10.1002/mp.14121
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发表时间：
2020-06
期刊：
影响因子：
3.8
通讯作者：
Yang X
中科院分区：
文献类型：
--
作者：
Liu Y;Lei Y;Wang T;Fu Y;Tang X;Curran WJ;Liu T;Patel P;Yang X
目前锥束CT （CBCT）的临床应用仅限于患者设置。成像伪影和胡斯菲尔德单元（Hounsfield unit， HU）的不准确性使得基于cbct的自适应规划过程目前不可行。在这项研究中，我们开发了一种基于深度学习的方法来提高CBCT图像质量和HU准确性，为CBCT引导的胰腺适应性放疗的潜在扩展临床应用奠定基础。纳入了30例既往接受胰腺SBRT治疗的患者。在第一部分治疗之前获得的CBCT被登记到计划CT中，用于训练和生成合成CT （sCT）。采用自注意循环生成对抗网络（cycleGAN）生成基于cbct的sCT。对于30名患者，基于ct的轮廓和治疗计划被转移到第一部分cbct和sct中进行剂量学比较。在腹部部位，CT与sCT的平均绝对误差（MAE）为56.89±13.84 HU，而CT与原始CBCT的平均绝对误差为81.06±15.86 HU。CT和基于sct的方案在PTV和OAR剂量-体积-直方图（DVH）指标上差异无统计学意义（P < 0.05），而CT和基于cbct的方案之间差异有统计学意义（P < 0.05）。CT和基于sCT的方案之间的图像相似性和剂量学一致性验证了sCT进行剂量计算的准确性。基于cbct的sCT方法可以潜在地提高治疗精度，从而最大限度地减少胃肠道毒性。
Current clinical application of cone-beam CT (CBCT) is limited to patient setup. Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process of CBCT-based adaptive planning presently impractical. In this study, we developed a deep-learning-based approach to improve CBCT image quality and HU accuracy for potential extended clinical use in CBCT-guided pancreatic adaptive radiotherapy. Thirty patients previously treated with pancreas SBRT were included. The CBCT acquired prior to the first fraction of treatment was registered to the planning CT for training and generation of synthetic CT (sCT). A self-attention cycle generative adversarial network (cycleGAN) was used to generate CBCT-based sCT. For the cohort of 30 patients, the CT-based contours and treatment plans were transferred to the first fraction CBCTs and sCTs for dosimetric comparison. At the site of abdomen, mean absolute error (MAE) between CT and sCT was 56.89 ± 13.84 HU, comparing to 81.06 ± 15.86 HU between CT and the raw CBCT. No significant differences (P > 0.05) were observed in the PTV and OAR dose-volume-histogram (DVH) metrics between the CT- and sCT-based plans, while significant differences (P < 0.05) were found between the CT- and the CBCT-based plans. The image similarity and dosimetric agreement between the CT and sCT-based plans validated the dose calculation accuracy carried by sCT. The CBCT-based sCT approach can potentially increase treatment precision and thus minimize gastrointestinal toxicity.
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影响因子：
3.8
作者：
Harms J;Lei Y;Wang T;Zhang R;Zhou J;Tang X;Curran WJ;Liu T;Yang X
通讯作者：
Yang X
影响因子：
5.5
作者：
Barrett, JF;Keat, N
通讯作者：
Keat, N
影响因子：
3.5
作者：
Liu Y;Lei Y;Wang Y;Shafai-Erfani G;Wang T;Tian S;Patel P;Jani AB;McDonald M;Curran WJ;Liu T;Zhou J;Yang X
通讯作者：
Yang X
DOI：
10.7759/cureus.2548
发表时间：
2018-04-29
期刊：
Cureus
影响因子：
--
作者：
Kida S;Nakamoto T;Nakano M;Nawa K;Haga A;Kotoku J;Yamashita H;Nakagawa K
通讯作者：
Nakagawa K
影响因子：
3.5
作者：
CHO, PS;JOHNSON, RH;GRIFFIN, TW
通讯作者：
GRIFFIN, TW