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ASIR-V重建算法在胸部低剂量CT诊断肺结节中的临床价值
引用本文:唐慧,时宏,刘婷,和鸿,刘为,薛久华. ASIR-V重建算法在胸部低剂量CT诊断肺结节中的临床价值[J]. 现代肿瘤医学, 2021, 0(13): 2329-2333. DOI: 10.3969/j.issn.1672-4992.2021.13.028
作者姓名:唐慧  时宏  刘婷  和鸿  刘为  薛久华
作者单位:西安市第一医院医学影像科,陕西 西安 710002
基金项目:陕西省西安市卫健委基金项目资助青年培养项目(编号:2020qn04)
摘    要:目的:探讨胸部低剂量CT结合基于多模型的迭代重建算法(ASIR-V)在肺结节诊断中的临床价值.方法:收集行Revolution CT胸部平扫的肺结节患者40例.患者首次检查时先采用常规剂量胸部CT扫描,预设噪声指数为14 HU,图像重建采用滤波反投影法(FBP);若发现肺结节者,于肺结节局部层面进行低剂量靶扫描,预设噪...

关 键 词:计算机断层扫描  基于多模型的迭代重建算法  胸部  图像质量

Clinical value of a new generation adaptive statistical iterative reconstruction (ASIR-V) in the diagnosis of pulmonary nodule in low-dose chest CT
TANG Hui,SHI Hong,LIU Ting,HE Hong,LIU Wei,XUE Jiuhua. Clinical value of a new generation adaptive statistical iterative reconstruction (ASIR-V) in the diagnosis of pulmonary nodule in low-dose chest CT[J]. Journal of Modern Oncology, 2021, 0(13): 2329-2333. DOI: 10.3969/j.issn.1672-4992.2021.13.028
Authors:TANG Hui  SHI Hong  LIU Ting  HE Hong  LIU Wei  XUE Jiuhua
Affiliation:Department of Radiology,Xi'an No.1 Hospital,Shaanxi Xi'an 710002,China.
Abstract:Objective:To evaluate the clinical value of low-dose chest CT combined with the new generation adaptive statistical iterative reconstruction (ASIR-V) algorithm in the diagnosis of pulmonary nodule.Methods:40 patients with pulmonary nodules underwent chest CT using Revolution CT.The patients were first scanned with standard-dose at a noise index of 14 HU,and the images were reconstructed with FBP algorithm.If pulmonary nodules were found,a low-dose targeted scan,with a noise index of 24 HU,was performed localized on the nodules,and the images were reconstructed with 60%ASIR-V.The detection rate of pulmonary nodules in the two scanning modes was recorded.The size of nodules,CT value and standard deviation (SD) of nodules were measured.The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were also calculated.Two experienced radiologists used a 5-point method to score the overall image quality and the morphological signs of the partial pulmonary nodules.The volumetric CT dose index (CTDIvol),and dose length product (DLP) were recorded and the effective dose (ED) was calculated of the two scanning modes.Results:ED of the standard-dose scan was (3.20±1.14) mSv,and that of low-dose scan was (1.64±0.29) mSv,with 48.8% reduction.107 of the 108 pulmonary nodules were detected in the low-dose targeted scan,resulting in 99.07% detection rate.There was no difference between the low-dose 60%ASIR-V images and standard-dose FBP images for the size ,CT value,SD value ,SNR and CNR of nodules (all P>0.05).There was no difference in the subjective scores between the two scanning modes (P>0.05).Conclusion:The low-dose CT scan combined with 60%ASIR-V algorithm is of comparable value in the detection of pulmonary nodules and the display of the morphological signs of nodules when compared with the FBP images obtained by standard-dose scan.
Keywords:computed tomography   adaptive statistical iterative reconstruction V   chest   image quality
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