技术注释：CyberKnife 机器人立体定向放射外科的基于磁共振成像的合成 CT。
Technical note: MR image-based synthesis CT for CyberKnife robotic stereotactic radiosurgery.
机构信息
Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing People's Republic of China.
出版信息
Biomed Phys Eng Express. 2024 Aug 13;10(5). doi: 10.1088/2057-1976/ad6a62.
The purpose of this study is to investigate whether deep learning-based sCT images enable accurate dose calculation in CK robotic stereotactic radiosurgery. A U-net convolutional neural network was trained using 2446 MR-CT pairs and used it to translate 551 MR images to sCT images for testing. The sCT of CK patient was encapsulated into a quality assurance (QA) validation phantom for dose verification. The CT value difference between CT and sCT was evaluated using mean absolute error (MAE) and the statistical significance of dose differences between CT and sCT was tested using the Wilcoxon signed rank test. For all CK patients, the MAE value of the whole brain region did not exceed 25 HU. The percentage dose difference between CT and sCT was less than ±0.4% on GTV (D(Gy), -0.29%, D(Gy), -0.09%), PTV (D2(Gy), -0.25%, D95(Gy), -0.10%), and brainstem (max dose(Gy), 0.31%). The percentage dose difference between CT and sCT for most regions of interest (ROIs) was no more than ±0.04%. This study extended MR-based sCT prediction to CK robotic stereotactic radiosurgery, expanding the application scenarios of MR-only radiation therapy. The results demonstrated the remarkable accuracy of dose calculation on sCT for patients treated with CK robotic stereotactic radiosurgery.
本研究旨在探讨基于深度学习的 sCT 图像是否能实现 CK 机器人立体定向放射外科的精确剂量计算。使用 2446 对 MR-CT 数据对 U-net 卷积神经网络进行训练，并将 551 张 MR 图像用于测试，以将其转换为 sCT 图像。将 CK 患者的 sCT 包裹在质量保证（QA）验证体模中，以进行剂量验证。采用平均绝对误差（MAE）评估 CT 与 sCT 之间的 CT 值差异，并采用 Wilcoxon 符号秩检验测试 CT 与 sCT 之间剂量差异的统计学意义。对于所有 CK 患者，全脑区域的 MAE 值不超过 25HU。CT 与 sCT 之间的剂量差异百分比在 GTV（D(Gy)，-0.29%，D(Gy)，-0.09%）、PTV（D2(Gy)，-0.25%，D95(Gy)，-0.10%）和脑干（最大剂量（Gy），0.31%）处均小于±0.4%。对于大多数感兴趣区域（ROI），CT 与 sCT 之间的剂量差异百分比不超过±0.04%。本研究将基于 MR 的 sCT 预测扩展到 CK 机器人立体定向放射外科，扩展了仅基于 MR 的放射治疗的应用场景。结果表明，在 CK 机器人立体定向放射外科治疗的患者中，sCT 上的剂量计算具有显著的准确性。
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