ISSN 1004-4140
CN 11-3017/P

基于KARL 3D迭代重建算法双低检查技术在支气管动脉成像中的临床价值

姜一, 秦立新, 田葵, 沙晋璐, 周春华

姜一, 秦立新, 田葵, 沙晋璐, 周春华. 基于KARL 3D迭代重建算法双低检查技术在支气管动脉成像中的临床价值[J]. CT理论与应用研究, 2021, 30(6): 753-760. DOI: 10.15953/j.1004-4140.2021.30.06.11
引用本文: 姜一, 秦立新, 田葵, 沙晋璐, 周春华. 基于KARL 3D迭代重建算法双低检查技术在支气管动脉成像中的临床价值[J]. CT理论与应用研究, 2021, 30(6): 753-760. DOI: 10.15953/j.1004-4140.2021.30.06.11
JIANG Yi, QIN Lixin, TIAN Kui, SHA Jinlu, ZHOU Chunhua. Clinical Value of Double Low Examination Technique Based on KARL 3D Iterative Reconstruction Algorithm in Bronchial Artery Imaging[J]. CT Theory and Applications, 2021, 30(6): 753-760. DOI: 10.15953/j.1004-4140.2021.30.06.11
Citation: JIANG Yi, QIN Lixin, TIAN Kui, SHA Jinlu, ZHOU Chunhua. Clinical Value of Double Low Examination Technique Based on KARL 3D Iterative Reconstruction Algorithm in Bronchial Artery Imaging[J]. CT Theory and Applications, 2021, 30(6): 753-760. DOI: 10.15953/j.1004-4140.2021.30.06.11

基于KARL 3D迭代重建算法双低检查技术在支气管动脉成像中的临床价值

详细信息
    作者简介:

    姜一,男,武汉市肺科医院放射科主管技师,主要从事胸部影像技术研究,E-mail:814358064@qq.com;秦立新*,男,武汉市肺科医院放射科主任医师,主要从事胸部影像诊断研究,E-mail:1975136040@qq.com。

  • 中图分类号: R814;O242

Clinical Value of Double Low Examination Technique Based on KARL 3D Iterative Reconstruction Algorithm in Bronchial Artery Imaging

  • 摘要: 目的:探讨基于KARL 3D迭代重建算法双低检查技术在支气管动脉成像中的临床价值。方法:回顾性分析2020年7月至9月武汉市肺科医院收治的60例咯血患者的临床影像资料,随机抽取采用A方案患者30例,采用B方案患者30例。A组采用120 kV,对比剂80 mL,FBP重建图像;B组采用100 kV,对比剂65 mL,分别进行KARL 3D 5级和FBP重建图像。比较两组图像质量主观评分,客观评价及辐射剂量差异。结果:B组KARL 3D 5级重建图像质量与A组差异无统计学意义,两者均满足CTA诊断要求。B组KARL 3D 5级重建图像较FBP重建图像相比,图像噪声下降,图像质量提高,差异有统计学意义。B组有效剂量低于A组差异有统计学意义。结论:基于KARL 3D迭代重建算法采用低管电压和低对比剂用量所获支气管动脉图像可以满足诊断要求,同时也能降低患者自身所受辐射剂量和对比剂用量。
    Abstract: Objective: We intend to explore the clinical value of double-low (low tube electrodepressed contrast agent dosage) examination technique which is based on KARL 3D iterative reconstruction when applied in bronchial artery imaging. Methods: We performed retrospective analysis on the clinical imaging data of 60 patients with hemoptysis treated in Wuhan Pulmonary Hospital from July to September 2020. 30 patients were randomly selected to use plan A while the rest 30 adopted plan B. In group A, 120 kV and 80 mL contrast agent dosage were used for FBP image reconstruction; in group B, 100 kV and 65mL contrast agent dosage were used for KARL 3D grade 5 and FBP image reconstruction respectively. We compared the subjective grade, objective evaluation and radiation dose difference of the image quality between the two groups. Results: There was no statistically significant difference in KARLl 3D grade 5 reconstruction image qualities between the two groups, and both groups met the diagnostic requirements of CTA. Compared with the FBP image, we found that the noise of the KARLl 3D level 5 reconstruction images in group B decreased and the image quality improved, the difference held statistical meaning. The effective dose of group B was lower than that of group A, and the difference held statistical meaning. Conclusion: The bronchial artery images obtained by using low tube voltage and low contrast agent dosage based on KARL 3D iterative reconstruction algorithm can meet the diagnostic requirements and in the mean time reduce the radiation dose and contrast agent dosage used on the patients.
  • [1] 吴晶晶, 普福顺, 余荣, 等. CT血管成像对咯血患者支气管动脉及相关责任血管检测能力的评估[J]. 实用放射学杂志, 2019, 35(2):212-215.

    WU J J, PU F S, YU R, et al. Evaluation of the ability of CT angiography to detect bronchial arteries and related responsible vessels in patients with hemoptysis[J]. Journal of Applied Radiology, 2019, 35(2):212-215. (in Chinese).

    [2] 牛丹丹, 李莹, 张颖颖, 等. Auto-kV技术联合Clear View +迭代算法在主动脉CTA的可行性研究[J]. 临床放射学杂志, 2020, 39(5):999-1003.

    NIU D D, LI Y, ZHANG Y Y, et al. Feasibility study of Auto-kV technology combined with Clear View+ iterative algorithm in aortic CTA[J]. Journal of Clinical Radiology, 2020, 39(5):999-1003. (in Chinese).

    [3] 何欣, 张景东, 杨正汉, 等. 前置自适应统计迭代重建技术对超低剂量CT图像质量影响的模型研究[J]. 实用放射学杂志, 2019,35(1):110-113.

    HE X, ZHANG J D, YANG Z H, et al. Model study on the effect of pre-adaptive statistical iterative reconstruction technique on ultra-low dose CT image quality[J]. Journal of Applied Radiology, 2019, 35(1):110-113. (in Chinese).

    [4] 杜恒鑫, 候阳, 王一, 等. 全模型迭代重建技术对低剂量CT冠状动脉支架显示的初步研究[J]. 中国临床医学影像杂志, 2019, 30(1):57-60.

    DU H X, HOU Y, WANG Y, et al. Preliminary study on low dose CT coronary stent display by full model iterative reconstruction[J]. Chinese Journal of Clinical Imaging, 2019, 30(1):57-60. (in Chinese).

    [5] 杜林芝, 成满平, 牛娟琴, 等. 双低技术在320排CT肺动脉成像中的应用[J]. 医疗卫生装备, 2018, 39(1):62-65.

    DU L Z, CHENG M P, NIU J Q, et al. Application of double low technique in 320-slice CT pulmonary arteriography[J]. Medical and Health Equipment, 2018, 39(1):62-65. (in Chinese).

    [6]

    BOETTICHER H V, LACHMUND J, LOOE H K, et al. 2007 recommendations of the ICRP change basis for estimation of the effective dose:What is the impact on radiation dose assessment of patient and personnel?[J]. Fortschr Röntgenstr, 2008, 180(5):391-395.

    [7] 黄爱娜, 陆健, 张涛, 等. 256层iCT低剂量扫描联合迭代重建技术在头颈部CTA的应用[J]. 放射学实践, 2018, 33(8):842-846.

    HUANG A N, LU J, ZHANG T, et al. Application of 256-layer ICT low-dose scanning combined with iterative reconstruction in head and neck CTA[J]. Radiological Practice, 2018, 33(8):842-846. (in Chinese).

    [8] 段艳华, 陈力, 卢光明, 等. 70 kV结合低对比剂用量CT扫描在小儿冠状动脉疾病诊断中的临床价值[J]. 中华放射学杂志, 2018, 52(7):507-512.

    DUAN Y H, CHEN L, LU G M, et al. Clinical value of 70 kV combined with low contrast agent in the diagnosis of coronary artery disease in children[J]. Chinese Journal of Radiology, 2018, 52(7):507-512. (in Chinese).

    [9] 朱莉, 周慧. KARL 3D迭代重建技术对胸部低剂量CT图像质量的影响[J]. 实用放射学杂志, 2019, 29(7):949-952.

    ZHU L, ZHOU H. Effect of KARL 3D iterative reconstruction on the quality of chest low-dose CT images[J]. Journal of Applied Radiology, 2019, 29(7):949-952. (in Chinese).

    [10] 张喜荣, 段海峰, 马光明, 等. 低辐射剂量联合两种不同重建方法对上腹部图像质量的影响[J]. 中国医学影像学杂志, 2018, 26(1):33-36.

    ZHANG X R, DUAN H F, MA G M, et al. Effect of low radiation dose combined with two different reconstruction methods on image quality of upper abdomen[J]. Chinese Journal of Medical Imaging, 2018, 26(1):33-36. (in Chinese).

    [11] 谷春雨, 张兰欣, 郭炎兵, 等. 三种不同重组算法在腹部低剂量CT中的临床应用[J]. 影像诊断与介入放射学, 2018, 27(3):215-218.

    GU C Y, ZHANG L X, GUO Y B, et al. Clinical application of different recombination algorithms in low-dose abdominal CT[J]. Imaging Diagnosis and Interventional Radiology, 2018, 27(3):215-218. (in Chinese).

    [12] 张玉兰, 郑晓林, 黄军荣, 等. 256层螺旋CT iDose4在低剂量肺动脉成像中的应用[J]. 临床放射学杂志, 2017, 36(1):133-137.

    ZHANG Y L, ZHENG X L, HUANG J R, et al. The application of 256-slice spiral CT iDose4 in low dose pulmonary artery imaging[J]. Journal of Clinical Radiology, 2017, 36(1):133-137. (in Chinese).

    [13] 黄晓旗, 李建龙, 韩炜, 等. 不同级别KARL迭代重建算法对胸部CT图像质量及噪声的价值[J]. 实用放射学杂志, 2018, 34(10):1612-1614.

    HUANG X Q, LI J L, HAN W, et al. The value of different levels of KARL iterative reconstruction algorithms for chest CT image quality and noise[J]. Journal of Applied Radiology, 2018, 34(10):1612-1614. (in Chinese).

    [14] 黄晓旗, 祁鑫华, 王雷, 等. 基于KARL迭代算法对COPD低剂量CT扫描条件下肺气肿定量测量的影响[J]. 西安交通大学学报(医学版), 2020, 41(3):410-414. HUANG X Q, QI X H, WANG L, et al. Quantitative measurement of emphysema in COPD with low-dose CT scan based on KARL iterative algorithm[J]. Journal of Xi'an Jiaotong University (Medical Edition), 2020, 41(3):410-414. (in Chinese).
    [15] 张保翠, 张玉东, 赵凯, 等. 静脉注射碘对比剂对不同人群肾功能的影响[J]. 中华放射学杂志, 2013, 47(4):335-339.

    ZHANG B C, ZHANG Y D, ZHAO K, et al. Effects of intravenous iodine contrast on renal function in different population[J]. Chinese Journal of Radiology, 2013, 47(4):335-339. (in Chinese).

    [16] 梁奕, 杜柏林, 汪汉林, 等. 低浓度对比剂联合低电压和迭代重建算法在320排CT冠状动脉成像中的应用[J]. 实用放射学杂志, 2016, 32(1):114-117.

    LIANG Y, DU B L, WANG H L, et al. The application of low concentration contrast agent combined with low voltage and iterative reconstruction algorithm in 320-slice CT coronary imaging[J]. Journal of Applied Radiology, 2016, 32(1):114-117. (in Chinese).

计量
  • 文章访问数:  351
  • HTML全文浏览量:  34
  • PDF下载量:  26
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-04-02
  • 网络出版日期:  2021-11-03

目录

    /

    返回文章
    返回
    x 关闭 永久关闭