Trillium Health Partners/the Credit Valley Hospital, Mississauga, ON, Canada.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.
J Appl Clin Med Phys. 2021 Mar;22(3):150-156. doi: 10.1002/acm2.13194. Epub 2021 Feb 11.
Deformable image registration (DIR) is a required tool in any adaptive radiotherapy program to help account for anatomical changes that occur during a multifraction treatment. SmartAdapt is a DIR tool from Varian incorporated within the eclipse treatment planning system, that can be used for contour propagation and transfer of PET, MRI, or computed tomography (CT) data. The purpose of this work is to evaluate the registration and contour propagation accuracy of SmartAdapt for thoracic CT studies using the guidelines from AAPM TG 132.
To evaluate the registration accuracy of SmartAdapt the mean target registration error (TRE) was measured for ten landmarked 4DCT images from the https://www.dir-labs.com/ which included 300 landmarks matching the inspiration and expiration phase images. To further characterize the registration accuracy, the magnitude of deformation for each 4DCT was measured and compared against the mean TRE for each study. Contour propagation accuracy was evaluated using 22 randomly selected lung cancer cases from our center where there was either a replan, or the patient was treated for a new lesion within the lung. Contours evaluated included the right and left lung, esophagus, spinal canal, heart and the GTV and the results were quantified using the DICE similarity coefficient.
The mean TRE from all ten cases was 1.89 mm, the maximum mean TRE per case was 3.8 mm from case #8, which also had the most landmark pairs with displacements >2 cm. For contour propagation accuracy, the DICE coefficient results for left lung, right lung, heart, esophagus, and spinal canal were 0.93, 0.94, 0.90, 0.61, and 0.82 respectively.
The results from our study demonstrate that for thoracic images SmartAdapt in most cases will be accurate to below 2 mm in registration error unless there is deformation greater than 2 cm.
变形图像配准(DIR)是任何自适应放射治疗计划中所需的工具,有助于在多次分割治疗过程中考虑到发生的解剖变化。SmartAdapt 是一种来自 Varian 的 DIR 工具,集成在 eclipse 治疗计划系统中,可用于轮廓传播和 PET、MRI 或计算机断层扫描(CT)数据的传输。这项工作的目的是使用 AAPM TG 132 的指南来评估 SmartAdapt 在胸部 CT 研究中的配准和轮廓传播准确性。
为了评估 SmartAdapt 的配准准确性,测量了来自 https://www.dir-labs.com/ 的十个标记的 4DCT 图像的平均靶标配准误差(TRE),其中包括与吸气和呼气相位图像匹配的 300 个标记点。为了进一步描述配准准确性,测量了每个 4DCT 的变形幅度,并与每个研究的平均 TRE 进行了比较。使用我们中心的 22 个随机选择的肺癌病例评估了轮廓传播准确性,其中有重新计划,或者患者在肺部有新病变进行治疗。评估的轮廓包括右肺和左肺、食管、椎管、心脏和 GTV,结果使用 DICE 相似性系数进行量化。
所有十个病例的平均 TRE 为 1.89 毫米,每个病例的最大平均 TRE 为 3.8 毫米,来自病例#8,该病例也有最多的标记对位移超过 2 厘米。对于轮廓传播准确性,左肺、右肺、心脏、食管和椎管的 DICE 系数结果分别为 0.93、0.94、0.90、0.61 和 0.82。
我们的研究结果表明,对于胸部图像,除非存在超过 2 厘米的变形,否则 SmartAdapt 在大多数情况下的配准误差将准确到 2 毫米以下。