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Quality Improvement of Dual-Energy Lung Perfusion Image by Reduction of Low-Energy X-Ray Spectrum: An Evaluation on Clinical Images

机译:低能量X射线光谱降低的双能肺灌注图像的质量改善:临床图像评价

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BACKGROUND The effects of the reduction of low-energy X-ray spectrum on lung perfusion images created by dual-energy CT have not been well evaluated. The aim of this study is to investigate the reliability of lung perfusion blood volume (PBV) images created by dual-energy CT (DECT) equipped with or without a tin filter, focusing on its accuracy adjacent to high-attenuation areas. MATERIAL AND METHODS Among 176 patients who underwent DECT for suspicion of pulmonary embolism, 38 patients (mean age, 64; range, 16 to 83 years) without apparent evidence of pulmonary embolism were evaluated in this study. They underwent DECT at 100/140 kVp with a tin filter on 140 kVp tube (Group A; n=18) or at 80/140 kVp without the filter (Group B; n=20). On the lung PBV images, the degrees of artifacts – pulmonary enhancement defect (PED) and pseudo-enhancement in the trachea (PTE) adjacent to the vena cava were evaluated using a four-point scale (0=minimal to 3=prominent). RESULTS The mean degrees of artifact in Group A were significantly lower than those in Group B (0.8 [i]vs.[/i] 1.9; P<0.0001 for PED, respectively, and 1.1 [i]vs.[/i] 2.2; P<0.0001 for TPE, respectively). The mean CTDIvols were 4.90±1.14 and 12.98±3.15 mGy (P<0.0001) for Group A and Group B, respectively. CONCLUSIONS The quality and accuracy of dual-energy lung perfusion image will be improved by using the tin filter technique.
机译:背景技术低能量X射线光谱对双能CT产生的肺灌注图像的影响尚未得到很好的评价。本研究的目的是研究由配备有或没有锡滤波器的双能CT(DECT)产生的肺灌注血量(PBV)图像的可靠性,其专注于其与高衰减区域相邻的精度。在本研究中评估了176名患者的176名接受肺栓塞,38例(平均年龄,64岁;范围,16至83岁)的材料和方法。它们在100/140 kVP下用140 kVp管(a; n = 18)或80/140 kVp,在没有滤光器的80/140 kvp(b; n = 20)的80/140 kvp下进行Dect。在肺PBV图像中,使用四点刻表(0 =最小到3 =突出)评估与腔静脉相邻的气管(PTE)中的术语 - 肺部增强缺陷(PED)和伪增强的伪影(PTE)。结果A组中的平均度量显着低于B组(0.8 [I] 1.9; PED,PED的P <0.101和1.1 [I] VS。[/ i] 2.2 ;分别为TPE的P <0.0001)。平均CTDIVOL分别为A组和B组的4.90±1.14和12.98±3.15米(P <0.0001)。结论使用锡滤波技术将改善双能肺灌注图像的质量和准确性。

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