University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
Eur J Radiol. 2020 Aug;129:109065. doi: 10.1016/j.ejrad.2020.109065. Epub 2020 May 15.
To evaluate the effect of various interactive metal artifact reduction (iMAR) algorithms on attenuation correction in the vicinity of port chambers in PET/CT.
In this prospective study, 30 oncological patients (12 female, 18 male, mean age 59.6 ± 10.5y) with implanted port chambers undergoing 18F-FDG PET/CT were included. CT images were reconstructed with standard weighted filtered back projection (WFBP) and three different iMAR algorithms (hip, dental filling (DF) and pacemaker (PM)). PET attenuation correction was performed with all four CT datasets. SUVmean, SUVmax and HU measurements were performed in fat and muscle tissue in the vicinity of the port chamber at the location of the strongest bright and dark band artifacts. Differences between HU and SUV values across all CT- and PET-images were investigated using a paired t-test. Bonferroni correction was used to prevent alpha-error accumulation (p < 0.008).
In comparison to WFBP (fat: 94.2 ± 53.9 HU, muscle: 197.6 ± 49.2 HU) all three iMAR algorithms led to a decrease of HU in bright band artifacts. iMAR-DF led to a decrease of 159.2 % (fat: -51.9 ± 58.5 HU, muscle: 94.5 ± 55.3 HU), iMAR-hip of 138.3 % (fat: -30.3 ± 58.5, muscle: 70.4 ± 28.8) and iMAR-PM of 122.3 % (fat: -21.2 ± 47.2 HU, muscle: 72.5 ± 25.1 HU; for all p < 0.008). There was no significant effect of iMAR on SUV measurements in comparison to WFBP.
iMAR leads to a significant change of HU values in artifacts caused by port catheter chambers in comparison to WFBP. However, no significant differences in attenuation correction and consecutive changes in SUV measurements can be observed.
评估各种交互式金属伪影降低（iMAR）算法在正电子发射断层扫描/计算机断层扫描（PET/CT）中靠近端口腔的衰减校正中的效果。
在这项前瞻性研究中，纳入了 30 名接受 18F-FDG PET/CT 检查的植入式端口腔的肿瘤患者（12 名女性，18 名男性，平均年龄 59.6±10.5 岁）。CT 图像采用标准加权滤波反投影（WFBP）和三种不同的 iMAR 算法（髋关节、牙填充物（DF）和起搏器（PM））进行重建。使用所有四个 CT 数据集进行 PET 衰减校正。在端口腔附近的最强亮带和暗带伪影位置的脂肪和肌肉组织中进行 HU、SUVmean 和 SUVmax 测量。使用配对 t 检验研究所有 CT 和 PET 图像之间的 HU 和 SUV 值差异。使用 Bonferroni 校正防止 alpha 错误累积（p<0.008）。
与 WFBP 相比（脂肪：94.2±53.9 HU，肌肉：197.6±49.2 HU），所有三种 iMAR 算法均导致亮带伪影中的 HU 降低。iMAR-DF 导致 159.2%（脂肪：-51.9±58.5 HU，肌肉：94.5±55.3 HU），iMAR-hip 导致 138.3%（脂肪：-30.3±58.5，肌肉：70.4±28.8）和 iMAR-PM 导致 122.3%（脂肪：-21.2±47.2 HU，肌肉：72.5±25.1 HU；所有 p<0.008）。与 WFBP 相比，iMAR 对 SUV 测量没有显著影响。
与 WFBP 相比，iMAR 导致端口导管腔引起的伪影中的 HU 值发生显著变化。然而，在衰减校正和连续 SUV 测量变化方面没有观察到显著差异。
