Quantitative Analysis of a Whole Cardiac Mass Using Dual-Energy Computed Tomography: Comparison with Conventional Computed Tomography and Magnetic Resonance Imaging

被引:0
|
作者
Yoo Jin Hong
Jin Hur
Kyunghwa Han
Dong Jin Im
Young Joo Suh
Hye-Jeong Lee
Young Jin Kim
Byoung Wook Choi
机构
[1] Yonsei University College of Medicine,Department of Radiology and Research Institute of Radiological Science
[2] Severance Hospital,undefined
来源
关键词
Cardiac Mass; Cardiac Tumors; Mean Iodine Concentration; Thrombus Group; Late Gadolinium Enhancement (LGE);
D O I
暂无
中图分类号
学科分类号
摘要
It is critical to distinguish between cardiac tumors and thrombi because they require different treatment strategies. Although accurate differentiation of these cardiac masses can be challenging, computed tomography (CT) and magnetic resonance imaging (MRI) are promising tools to improve their diagnosis. This study aimed to assess the diagnostic value of a volume-based quantification strategy using dual-energy CT to differentiate between cardiac tumors and thrombi. We prospectively enrolled 41 patients who had a cardiac mass. All patients underwent electrocardiography gated dual-energy CT. Among them, 28 patients underwent late gadolinium enhancement cardiac MRI. For quantitative analysis, the following parameters of the entire cardiac masses were measured: CT attenuation values in Hounsfield units (HU), iodine concentration (mg/ml), and signal intensity (SI) ratio. A mixed effects model was used to evaluate the significance of differences in mean CT attenuation, mean iodine concentration, and SI ratios between the cardiac tumor and thrombus groups. Diagnostic performance of each parameter was evaluated by constructing a receiver operating characteristics curve. A total of 24 cardiac tumors and 19 cardiac thrombi were analyzed. The mean iodine concentration was significantly higher in tumors than in thrombi (tumors: 2.98 ± 0.23; thrombi: 1.79 ± 0.26, p = 0.002). The diagnostic performance of iodine concentration was better than that of post-contrast HU (area under the curve [AUC]: 0.77 vs. 0.51; p < 0.001), and worse than that of SI ratio (AUC: 0.89; p = 0.04) for differentiation of cardiac tumors and thrombi. Dual-energy CT using volume-based iodine measurements can differentiate between cardiac tumors and thrombi.
引用
收藏
相关论文
共 50 条
  • [21] Vascular Imaging: Utilization of Dual-Energy Computed Tomography
    Ahmed Alharthy
    Matthew D’Mello
    Hatim Alabsi
    Nicolas Murray
    Omar Metwally
    Khaled Y. Elbanna
    Mohammed F. Mohammed
    Faisal Khosa
    Current Radiology Reports, 7
  • [22] Oncological Applications of Dual-Energy Computed Tomography Imaging
    Paul, Jijo
    Vogl, Thomas J.
    Mbalisike, Emmanuel C.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2014, 38 (06) : 834 - 842
  • [23] Optimal Contrast of Computed Tomography Portal Venography Using Dual-Energy Computed Tomography
    Wang, Qi
    Shi, Gaofeng
    Liu, Xiang
    Wu, Runze
    Wang, Shijie
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2013, 37 (02) : 142 - 148
  • [24] The Role of Dual-Energy Computed Tomography in Musculoskeletal Imaging
    Fukuda, Takeshi
    Fukuda, Kunihiko
    PET CLINICS, 2018, 13 (04) : 567 - 578
  • [25] Dual-energy computed tomography imaging of myocardial infarction
    Ruzsics, B
    Chiaramida, SA
    Schoepf, UJ
    HEART, 2009, 95 (03) : 180 - 180
  • [26] Vascular Imaging: Utilization of Dual-Energy Computed Tomography
    Alharthy, Ahmed
    D'Mello, Matthew
    Alabsi, Hatim
    Murray, Nicolas
    Metwally, Omar
    Elbanna, Khaled Y.
    Mohammed, Mohammed F.
    Khosa, Faisal
    CURRENT RADIOLOGY REPORTS, 2019, 7 (09)
  • [27] Opportunistic screening for osteoporosis using enhanced images based on dual-energy computed tomography material decomposition: a comparison with quantitative computed tomography
    Tong, Xiaoyu
    Fang, Xin
    Wang, Shigeng
    Fan, Yong
    Wei, Wei
    Xiao, Qingzhu
    Chen, Anliang
    Liu, Yijun
    Liu, Lei
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2024, 14 (01) : 352 - 364
  • [28] Computed Tomography Number Measurement Consistency Under Different Beam Hardening Conditions: Comparison Between Dual-Energy Spectral Computed Tomography and Conventional Computed Tomography Imaging in Phantom Experiment
    He, Tian
    Qian, Xiaojun
    Zhai, Renyou
    Yang, Zongtao
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2015, 39 (06) : 981 - 985
  • [29] Introduction to Dual-Energy Computed Tomography
    Elster, Allen D.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2018, 42 (06) : 823 - 823
  • [30] Dual-Energy Computed Tomography Virtual Noncalcium Technique in Diagnosing Osteoporosis: Correlation With Quantitative Computed Tomography
    Liu, Zhenghua
    Zhang, Yuting
    Liu, Zhou
    Kong, Jiangtao
    Huang, Dageng
    Zhang, Xiaoyue
    Jiang, Yonghong
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2021, 45 (03) : 452 - 457