ISSN 1004-4140
CN 11-3017/P
| Citation: |
LIU X J, WU H Y, MA J Q, et al. Application of Dual-layer Detector Spectral Computed Tomography Virtual Non-contrast Scanning in Enhanced Chest Computed Tomography for Children[J]. CT Theory and Applications, 2024, 33(6): 709-716. DOI: 10.15953/j.ctta.2024.123. (in Chinese).
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Objective: This study aimed to explore the feasibility of applying dual-layer detector spectral computed tomography (DLCT) virtual non-contrast (VNC) technology in pediatric enhanced chest CT examinations. Methods: Retrospective analysis was conducted on the enhanced chest CT imaging data and clinical information of 51 children who underwent DLCT scanning at Wuhan Union Hospital. The same processing protocol was applied to each original image. VNC images were obtained using projection space spectral reconstruction from the venous phase spectral base images (SBI) and compared with true non-contrast (TNC) images regarding image quality and radiation dose. Two radiologists measured the CT and SD values of the pulmonary artery trunk, aorta trunk, erector spinae, lung tissue, and subcutaneous fat of the chest wall on image sets, calculating the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Non-contrast, arterial, and venous phase radiation doses were recorded. Subjective image quality scores were assigned using a 5-point Likert scale, and inter-observer consistency was assessed with the Kappa test. The Mann–Whitney U test compared subjective scores, while the paired t-test was used for objective image quality and radiation dose analyses. Results: Objective evaluation of image quality showed no significant statistical differences between the SNR, CNR, and subjective scores of both groups. The median subjective image scores for TNC and VNC were 4 points. The DLP and ED values of the VNC group (298.14±119.40) mGy·cm, (4.27±1.34) mSv were significantly lower than those of the TNC group (437.31±178.28) mGy·cm, (6.26±2.00) mSv. The DLP and ED of the VNC group reduced by 31.82％ and 31.79％, respectively, compared to the TNC group. Conclusion: Spectral CT virtual non-contrast (VNC) images as a substitute for conventional non-contrast (TNC) images in pediatric enhanced chest scans offers satisfactory diagnostic image quality and can significantly reduce radiation dose.
| [1] |
王广启, 郑义, 吴友双, 等. CARE Dose 4D联合CARE kV技术降低胸部CT扫描辐射剂量的可行性研究[J]. 湖北科技学院学报(医学版), 2023, 37(6): 510−513. DOI: 10.16751/j.cnki.2095-4646.2023.06.0510.
WANG G Q, ZHENG Y, WU Y S, et al. The feasibility research of care dose 4D combined with care kV to reduce CT radiation dose in chest CT scanning[J]. Journal of Hubei University of Science and Technology (Medical Sciences), 2023, 37(6): 510−513. DOI: 10.16751/j.cnki.2095-4646.2023.06.0510. (in Chinese).
|
| [2] |
曹俊涛, 陈琪琪, 胡铭, 等. 基于低剂量胸部CT原始数据迭代重建增强等级评价不同类型肺小结节的初步分析[J]. CT理论与应用研究, 2021, 30(6): 735−742. DOI: 10.15953/j.1004-4140.2021.30.06.09.
CAO J T, CHEN Q Q, HU M, et al. A preliminary analysis of using the sinogram-affirmed iterative reconstruction strength levels based on the original data of low-dose chest ct to evaluate different types of small pulmonary nodules[J]. CT Theory and Applications, 2021, 30(6): 735-742. DOI: 10.15953/j.1004-4140.2021.30.06.09. (in Chinese).
|
| [3] |
MAHGEREFTEH S, BLACHAR A, FRAIFELD S, et al. Dual-energy derived virtual nonenhanced computed tomography imaging: Current status and applications[J]. Semin Ultrasound CT MR, 2010, 31(4): 321−327. DOI: 10.1053/j.sult.2010.06.001.
|
| [4] |
穆荣华, 李鑫, 黄光仪, 等. 双层探测器光谱CT胸部虚拟平扫与常规CT平扫影像质量比较分析[J]. 国际医学放射学杂志, 2023, 46(4): 383−389. DOI: 10.19300/j.2023.L20039.
MU R H, LI X, HUANG G Y, et al. Image quality of dual-layer spectral chest CT: Virtual non-contrast in comparison to true non-contrast images[J]. International Journal of Medical Radiology, 2023, 46(4): 383−389. DOI: 10.19300/j.2023.L20039. (in Chinese).
|
| [5] |
中华医学会影像技术分会, 中华医学会放射学分会. CT检查技术专家共识[J]. 中华放射学杂志, 2016, 50(12): 916-928. DOI: 10.3760/cma.j.issn.1005-1201.2016.12.004
Chinese Medical Association Chinese Society of Imaging Technology, Chinese Medical Association Chinese Society of Radiology. Expert consensus on CT technology[J]. Chinese Journal of Radiology, 2016, 50(12): 916-928. DOI:10.3760/cma.j.issn.1005-1201.2016.12.004. (in Chinese).
|
| [6] |
BEHRENDT F F, SCHMIDT B, PLUMHANS C, et al. Image fusion in dual energy computed tomography: Effect on contrast enhancement, signal-to-noise ratio and image quality in computed tomography angiography[J]. Invest Radiology, 2009, 44(1): 1−6. DOI: 10.1097/RLI.0b013e31818c3d4b.
|
| [7] |
中华医学会放射学分会质量管理与安全管理学组. CT辐射剂量诊断参考水平专家共识[J]. 中华放射学杂志, 2017, 51(11): 817-822. DOI: 10.3760/cma.j.issn.1005?1201.2017.11.001
Chinese Medical Association Radiology Society Quality Management and Security Management Group. Experts consensus on diagnostic reference level of CT radiation dose[J]. Chinese Journal of Radiology, 2017, 51(11): 817-822. DOI:10.3760/cma.j.issn.1005?1201.2017.11.001.(in Chinese).
|
| [8] |
GB/T16137-2021. X射线诊断中受检者器官剂量的估算方法[S]. 北京: 国家市场监督管理总局;国家标准化管理委员会. 2021.
|
| [9] |
HICKETHIER T, WENNING J, BRATKE G, et al. Evaluation of soft-plaque stenoses in coronary artery stents using conventional and monoenergetic images: First in-vitro experience and comparison of two different dual-energy techniques[J]. Quantitative Imaging in Medicine and Surgery, 2020, 10(3): 612−623. DOI: 10.21037/qims.2020.02.11.
|
| [10] |
中华放射学杂志双层探测器光谱CT临床应用协作组. 双层探测器光谱CT临床应用中国专家共识(第一版)[J]. 中华放射学杂志, 2020, 54(7): 635−643. DOI: 10.3760/cma.j.cn112149-20200513-00679.
Chinese Journal of Radiology Cooperative Group of Clinical Application of Dual-layer Spectral Detector CT. China expert consensus on clinical application of dual-layer spectral detector CT[J]. Chinese Journal of Radiology, 2020, 54(7): 635−643. DOI: 10.3760/cma.j.cn112149-20200513-00679. (in Chinese).
|
| [11] |
HERING D A, KROGER K, BAUER R W, et al. Comparison of virtual non-contrast dual-energy CT and a true non-contrast CT for contouring in radiotherapy of 3D printed lung tumour models in motion: A phantom study[J]. The British Journal of Radiology, 2020, 93(1116): 20200152. DOI: 10.1259/bjr.20200152.
|
| [12] |
PARK A, LEE Y H, SEO H S. Could both intrinsic and extrinsic iodine be successfully suppressed on virtual non-contrast CT images for detecting thyroid calcification?[J]. Japanese Journal of Radiology, 2021, 39(6): 580−588. DOI: 10.1007/s11604-021-01095-8.
|
| [13] |
BERNSEN M, VEENDRICK P B, MARTENS J M, et al. Initial experience with dual-layer detector spectral CT for diagnosis of blood or contrast after endovascular treatment for ischemic stroke[J]. Neuroradiology, 2022, 64(1): 69−76. DOI: 10.1007/s00234-021-02736-5.
|
| [14] |
RIEDERER I, FINGERLE A A, ZIMMER C, et al. Potential of dual-layer spectral CT for the differentiation between hemorrhage and iodinated contrast medium in the brain after endovascular treatment of ischemic stroke patients[J]. Clinical Imaging, 2021, 79: 158−164. DOI: 10.1016/j.clinimag.2021.04.020.
|
| [15] |
BORHANI A A, KULZER M, IRANPOUR N, et al. Comparison of true unenhanced and virtual unenhanced (VUE) attenuation values in abdominopelvic single-source rapid kilovoltage-switching spectral CT[J]. Abdominal Radiology (NY), 2017, 42(3): 710−717. DOI: 10.1007/s00261-016-0991-5.
|
| [16] |
CHEN B, MARIN D, RICHARD S, et al. Precision of iodine quantification in hepatic CT: Effects of iterative reconstruction with various imaging parameters[J]. American Journal of Roentgenology, 2013, 200(5): W475−W482. DOI: 10.2214/AJR.12.9658.
|
| [17] |
LI B, POMERLEAU M, GUPTA A, et al. Accuracy of dual-energy CT virtual unenhanced and material-specific images: A phantom study[J]. American Journal of Roentgenology, 2020, 215(5): 1146−1154. DOI: 10.2214/AJR.19.22372.
|
| [18] |
LACROIX M, MULE S, HERIN E, et al. Virtual unenhanced imaging of the liver derived from 160-mm rapid-switching dual-energy CT (rsDECT): Comparison of the accuracy of attenuation values and solid liver lesion conspicuity with native unenhanced images[J]. European Journal of Radiology, 2020, 133: 109387. DOI: 10.1016/j.ejrad.2020.109387.
|
| [19] |
付蓝琦, 潘馨梦, 刘思佳, 等. 双层探测器光谱CT虚拟平扫替代常规平扫评估甲状腺结节的可行性分析[J]. 放射学实践, 2022, 37(3): 302−306. DOI: 10.13609/j.cnki.1000-0313.2022.03.004.
FU L Q, PAN X M, LIU S J, et al. Feasibility analysis of double-layer spectral detector CT virtual non-contrast images instead of true non- contrast images in evaluating thyroid nodules[J]. Radiologic Practice, 2022, 37(3): 302−306. DOI: 10.13609/j.cnki.1000-0313.2022.03.004. (in Chinese).
|
| [20] |
MATHEWS J D, FORSYTHE A V, BRADY Z, et al. Cancer risk in 680, 000 people exposed to computed tomography scans in childhood or adolescence: Data linkage study of 11 million Australians[J]. British Medical Journal, 2013, 346: f2360. DOI: 10.1136/bmj.f2360.
|
| [21] |
PEARCE M S, SALOTTI J A, LITTLE M P, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: A retrospective cohort study[J]. Lancet, 2012, 380(9840): 499−505. DOI: 10.1016/S0140-6736(12)60815-0.
|
| [22] |
赵永霞, 左紫薇, 索红娜, 等. 肾动脉CT血管成像中采用常规扫描和能谱成像扫描方案对图像质量和辐射剂量的影响[J]. 中华放射学杂志, 2017, 51(4): 304−307. DOI: 10.3760/cma.j.issn.1005?1201.2017.04.014.
ZHAO Y X, ZUO Z W, SUO H N, et al. Comparison of spectral imaging and conventional CT in CT angiography of the kidney: Image quality and radiation dose[J]. Chinese Journal of Radiology, 2017, 51(4): 304−307. DOI: 10.3760/cma.j.issn.1005?1201.2017.04.014. (in Chinese).
|
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