使用非刚性图像配准进行体素计算,提高钬-166 经动脉放射性栓塞的 MRI 剂量学。
Improving MRI-based dosimetry for holmium-166 transarterial radioembolization using a nonrigid image registration for voxelwise calculation.
机构信息
Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
R&D Imaging & Software, Quirem Medical B.V., Deventer, the Netherlands.
出版信息
Med Phys. 2023 Feb;50(2):935-946. doi: 10.1002/mp.16014. Epub 2022 Oct 24.
BACKGROUND
Transarterial radioembolization (TARE) is a treatment modality for liver tumors during which radioactive microspheres are injected into the hepatic arterial system. These microspheres distribute throughout the liver as a result of the blood flow until they are trapped in the arterioles because of their size. Holmium-166 ( Ho)-loaded microspheres used for TARE can be visualized and quantified with MRI, as holmium is a paramagnetic metal and locally increases the transverse relaxation rate . The current Ho quantification method does not take regional differences in baseline values (such as between tumors and healthy tissue) into account, which intrinsically results in a systematic error in the estimated absorbed dose distribution. As this estimated absorbed dose distribution can be used to predict response to treatment of tumors and potential toxicity in healthy tissue, a high accuracy of absorbed dose estimation is required.
PURPOSE
To evaluate pre-existing differences in distributions between tumor tissue and healthy tissue and assess the feasibility and accuracy of voxelwise subtraction-based calculation for MRI-based dosimetry of holmium-166 transarterial radioembolization ( Ho TARE).
METHODS
MRI data obtained in six patients who underwent Ho TARE of the liver as part of a clinical study was retrospectively evaluated. Pretreatment differences in distributions between tumor tissue and healthy tissue were characterized. Same-day pre- and post-treatment maps were aligned using a deformable registration algorithm and subsequently subtracted to generate voxelwise maps and resultant absorbed dose maps. Image registration accuracy was quantified using the dice similarity coefficient (DSC), relative overlay (RO), and surface dice (≤4 mm; SDSC). Voxelwise subtraction-based absorbed dose maps were quantitatively (root-mean-square error, RMSE) and visually compared to the current MRI-based mean subtraction method and routinely used SPECT-based dosimetry.
RESULTS
Pretreatment values were lower in tumors than in healthy liver tissue (mean 36.8 s vs. 55.7 s , P = 0.004). Image registration improved the mean DSC of 0.83 (range: 0.70-0.88) to 0.95 (range: 0.92-0.97), mean RO of 0.71 (range 0.53-0.78) to 0.90 (range: 0.86-0.94), and mean SDSC ≤4 mm of 0.47 (range: 0.28-0.67) to 0.97 (range: 0.96-0.98). Voxelwise subtraction-based absorbed dose maps yielded a higher tumor-absorbed dose (median increase of 9.0%) and lower healthy liver-absorbed dose (median decrease of 13.8%) compared to the mean subtraction method. Voxelwise subtraction-based absorbed dose maps corresponded better to SPECT-based absorbed dose maps, reflected by a lower RMSE in three of six patients.
CONCLUSIONS
Voxelwise subtraction presents a robust alternative method for MRI-based dosimetry of Ho microspheres that accounts for pre-existing differences, and appears to correspond better with SPECT-based dosimetry compared to the currently implemented mean subtraction method.
背景
经动脉放射性栓塞术(TARE)是一种治疗肝脏肿瘤的方法,在此过程中放射性微球被注入肝动脉系统。这些微球由于血流的原因在肝脏中分布,直到由于其大小而被小动脉捕获。用于 TARE 的钬-166(Ho)负载微球可以通过 MRI 进行可视化和量化,因为钬是顺磁金属,会局部增加横向弛豫率。当前的 Ho 量化方法没有考虑到基线值(例如肿瘤和健康组织之间)的区域差异,这会导致估计的吸收剂量分布中存在系统误差。由于可以使用估计的吸收剂量分布来预测肿瘤的治疗反应和健康组织的潜在毒性,因此需要高精度的吸收剂量估计。
目的
评估肿瘤组织和健康组织之间分布的预先存在差异,并评估基于体素减法的 Ho 经动脉放射性栓塞术(Ho TARE)磁共振成像(MRI)剂量计算的可行性和准确性。
方法
回顾性评估了 6 例接受 Ho TARE 治疗的患者的 MRI 数据,这些患者作为一项临床研究的一部分。描述了肿瘤组织和健康组织之间分布的预先存在差异。使用可变形配准算法对齐相同天的预处理和后处理 图,并随后进行相减以生成基于体素的 图和相应的吸收剂量图。使用骰子相似系数(DSC)、相对重叠(RO)和表面骰子(≤4 mm;SDSC)来量化图像配准的准确性。基于体素的减法吸收剂量图与当前基于 MRI 的平均减法方法和常规使用的 SPECT 剂量学进行定量(均方根误差,RMSE)和视觉比较。
结果
肿瘤组织的预处理值低于健康肝组织(平均 36.8 s 与 55.7 s,P = 0.004)。图像配准将平均 DSC 从 0.83(范围:0.70-0.88)提高到 0.95(范围:0.92-0.97),平均 RO 从 0.71(范围 0.53-0.78)提高到 0.90(范围:0.86-0.94),平均 SDSC≤4 mm 从 0.47(范围:0.28-0.67)提高到 0.97(范围:0.96-0.98)。与平均减法方法相比,基于体素减法的吸收剂量图产生了更高的肿瘤吸收剂量(中位数增加 9.0%)和更低的健康肝脏吸收剂量(中位数减少 13.8%)。基于体素的减法吸收剂量图与 SPECT 吸收剂量图更吻合,在 6 例患者中的 3 例中 RMSE 较低。
结论
基于体素减法为 Ho 微球的 MRI 剂量计算提供了一种稳健的替代方法,可以考虑到预先存在的差异,并且与当前实施的平均减法方法相比,似乎与 SPECT 剂量学更吻合。