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• W4377011061 abstract "Objective: To compare the image quality and Qanadli embolism index between deep learning image reconstruction (DLR) and adaptive statistical iterative reconstruction-veo (ASiR-V) in dual low-dose CT pulmonary angiography (CTPA) with low contrast agent dose and low radiation dose. Methods: Eighty-eight patients who underwent dual low-dose CTPA in the radiology department of the affiliated hospital of Xuzhou Medical University from October 2020 to March 2021 were retrospectively analyzed, including 44 males and 44 females, aged from 11 to 87 years (61±15 years). The CTPA examination were performed using 80 kV tube voltage and 20 ml contrast agent. The raw data were reconstructed using standard kernel DLR high level (DL-H) and ASiR-V reconstruction, respectively. The patients were divided into standard kernel DL-H group (n=88, 33 cases of positive embolism) and ASiR-V group (n=88, 36 cases of positive embolism). The CT value, image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality score, Qanadli embolism index, positive rate and positive Qanadli embolism index were compared between the two groups. Results: There were no statistically significant differences in CT values of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery between the standard kernel DL-H group and ASiR-V group [(405.8±111.7) vs (404.0±112.0) HU, (412.9±113.1) vs (411.5±112.2) HU, (418.1±119.9) vs (415.4±118.0) HU, respectively;all P>0.05)]. The image noise of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group was significantly lower than the ASiR-V group(16.6±4.7 vs 28.1±4.8, 18.3±6.1 vs 29.8±4.9, 17.6±5.6 vs 28.4±4.7, respectively;all P<0.001). The SNR and CNR of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group were significantly higher than the ASiR-V group(SNR: 25.5±7.1 vs 14.5±3.9, 23.9±7.2 vs 13.9±3.4, 24.9±7.4 vs 14.8±4.1, CNR: 21.6±6.6 vs 12.3±3.9, 20.2±6.7 vs 11.8±3.4, 21.2±6.9 vs 12.6±4.1, respectively;all P<0.001). The subjective image quality score of the standard kernel DL-H group was significantly higher than the ASiR-V group (4.6 vs 3.8, P<0.001). There were no significant difference in the Qanadli embolism index, positive rate and positive Qanadli embolism index between the two groups (all P>0.05). Conclusion: Compared with ASiR-V reconstruction algorithms group, standard kernel DL-H reconstruction algorithms can significantly improve the image quality of dual low-dose CTPA.目的： 在低对比剂用量、低辐射剂量的双低肺动脉CT血管成像（CTPA）检查中，比较深度学习重建（DLR）与自适应迭代重建（ASiR-V）的图像质量及Qanadli栓塞指数。 方法： 回顾性分析2020年10月至2021年3月徐州医科大学附属医院放射科88例行CTPA双低扫描患者的资料，其中男44例，女44例，年龄11~87（61±15）岁。采用80 kV管电压，20 ml对比剂用量，扫描数据分别进行标准内核深度学习高档重建（DL-H）和ASiR-V重建，并将患者分为标准内核DL-H组（88例，肺栓塞阳性33例）及ASiR-V组（88例，肺栓塞阳性36例）。分析比较两种重建算法的CT值、图像噪声、信噪比（SNR）、对比噪声比（CNR）、主观图像质量评分、Qanadli栓塞指数、阳性率及阳性Qanadli栓塞指数差异。 结果： 标准内核DL-H和ASiR-V两种重建算法组间肺动脉主干及右肺动脉干、左肺动脉干的CT值差异均无统计学意义［分别为（405.8±111.7）比（404.0±112.0）HU、（412.9±113.1）比（411.5±112.2）HU、（418.1±119.9）比（415.4±118.0）HU，均P>0.05］。标准内核DL-H组肺动脉主干及右肺动脉干、左肺动脉干的图像噪声较ASiR-V组降低（分别为16.6±4.7比28.1±4.8、18.3±6.1比29.8±4.9、17.6±5.6比28.4±4.7；均P<0.001）。标准内核DL-H组肺动脉主干及右肺动脉干、左肺动脉干的SNR和CNR较ASiR-V组显著提高（SNR：25.5±7.1比14.5±3.9、23.9±7.2比13.9±3.4、24.9±7.4比14.8±4.1，CNR：21.6±6.6比12.3±3.9、20.2±6.7比11.8±3.4、21.2±6.9比12.6±4.1；均P<0.001）。标准内核DL-H组的主观图像质量评分较ASiR-V组显著提高（4.6比3.8，P<0.001）。两组的Qanadli栓塞指数、阳性率及阳性Qanadli栓塞指数差异均无统计学意义（均P>0.05）。 结论： 标准内核DL-H重建较ASiR-V重建能够显著提高双低扫描条件下的图像质量。." @default.
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• W4377011061 date "2023-05-23" @default.
• W4377011061 modified "2023-09-27" @default.
• W4377011061 title "[The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography]." @default.
• W4377011061 doi "https://doi.org/10.3760/cma.j.cn112137-20230313-00392" @default.
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