Department of Diagnostic and Interventional Radiology, Hannover Medical School, OE8220 Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Department of Diagnostic and Interventional Radiology, Johannes Gutenberg-University Medical Centre, Mainz, Germany.
Cancer Imaging. 2022 Jul 30;22(1):37. doi: 10.1186/s40644-022-00473-3.
To evaluate effectivity of a 3D-motion correction algorithm in C-Arm CTs (CACT) with limited image quality (IQ) during transarterial chemoembolization (TACE).
From 1/2015-5/2021, 644 CACTs were performed in patients during TACE. Of these, 27 CACTs in 26 patients (18 m, 8f; 69.7 years ± 10.7 SD) of limited IQ were included. Post-processing of the original raw-data sets (CACT) included application of a 3D-motion correction algorithm and bone segmentation (CACT). Four radiologists (R1-4) compared the images by choosing their preferred dataset and recommending repeat acquisition in case of severe IQ-impairment. R1,2 performed additional grading of intrahepatic vessel visualization, presence/extent of movement artifacts, and overall IQ.
R1,2 demonstrated excellent interobserver agreement for overall IQ (ICC 0.79,p < 0.01) and the five-point vessel visualization scale before and after post-processing of the datasets (ICC 0.78,p < 0.01). Post-processing caused significant improvement, with overall IQ improving from 2.63 (CACT) to 1.39 (CACT;p < 0.01) and a decrease in the mean distance of identifiable, subcapsular vessels to the liver capsule by 4 mm (p < 0.01). This proved especially true for datasets with low parenchymal and high hepatic artery contrast. A good interobserver agreement (ICC = 0.73) was recorded concerning the presence of motion artifacts, with significantly less discernible motion after post-processing (CACT:1.31 ± 1.67, CACT:1.00 ± 1.34, p < 0.01). Of the 27 datasets, ≥ 23 CACT were preferred, with identical datasets chosen by the readers to show benefit from the algorithm.
Application of a 3D-motion correction algorithm significantly improved IQ in diagnostically limited CACTs during TACE, with the potential to decrease repeat acquisitions.
在经动脉化疗栓塞术（TACE）期间，评估 C 臂 CT（CACT）中有限图像质量（IQ）的 3D 运动校正算法的效果。
自 2015 年 1 月至 2021 年 5 月，对 644 例行 TACE 的患者进行了 CACT。其中，纳入了 26 例患者（18 名男性，8 名女性；69.7 岁±10.7 标准差）的 27 例 CACT 中 IQ 有限的患者。原始数据集的后处理（CACT）包括应用 3D 运动校正算法和骨分割（CACT）。四位放射科医生（R1-4）通过选择他们偏爱的数据集并在 IQ 严重受损的情况下建议重复采集来比较图像。R1 和 R2 还对肝内血管可视化、运动伪影的存在/程度以及整体 IQ 进行了额外的分级。
R1 和 R2 对整体 IQ（ICC 0.79，p<0.01）和数据集后处理前后的五分制血管可视化量表（ICC 0.78，p<0.01）的观察者间一致性均表现出极好的一致性。后处理后整体 IQ 显著改善，从 2.63（CACT）改善到 1.39（CACT；p<0.01），肝包膜下可识别的、包膜下血管的平均距离减少了 4mm（p<0.01）。这对于对比剂含量低的实质组织和高肝动脉对比剂含量的数据集尤其如此。观察者间的运动伪影存在具有很好的一致性（ICC=0.73），并且在后处理后明显减少了可识别的运动（CACT：1.31±1.67，CACT：1.00±1.34，p<0.01）。在 27 个数据集，≥23 个 CACT 被认为是优选的，读者选择相同的数据集来展示算法的益处。
3D 运动校正算法的应用显著提高了 TACE 中诊断性有限 CACT 的 IQ，有可能减少重复采集。
