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Articles published in
J Comput Assist Tomogr
    September 2023
  1. CHOI Y, Jeong YS, Hwang JS, Kim HC, et al
    C-Arm Computed Tomographic Image Fusion for Repetitive Transarterial Chemoembolization of Hepatocellular Carcinoma.
    J Comput Assist Tomogr. 2023;47:682-688.
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    August 2023
  2. WANG X, Pan X, Zhou W, Jing Z, et al
    Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer.
    J Comput Assist Tomogr. 2023 Aug 9. doi: 10.1097/RCT.0000000000001529.
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    July 2023
  3. CHOI Y, Jeong YS, Hwang JS, Kim HC, et al
    C-Arm Computed Tomographic Image Fusion for Repetitive Transarterial Chemoembolization of Hepatocellular Carcinoma.
    J Comput Assist Tomogr. 2023 Jul 7. doi: 10.1097/RCT.0000000000001494.
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    May 2023
  4. GU XL, Cui Y, Zhu HT, Li XT, et al
    Discrimination of Liver Metastases of Digestive System Neuroendocrine Tumors From Neuroendocrine Carcinoma by Computed Tomography-Based Radiomics Analysis.
    J Comput Assist Tomogr. 2023;47:361-368.
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  5. MO H, Huang R, Wei X, Huang L, et al
    Diagnosis of Metastatic Lymph Nodes in Patients With Hepatocellular Carcinoma Using Dual-Energy Computed Tomography.
    J Comput Assist Tomogr. 2023;47:355-360.
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    March 2023
  6. YAN C, Han Z, Chen X, Gao L, et al
    Diffusion-Weighted Imaging as a Quantitative Imaging Biomarker for Predicting Proliferation Rate in Hepatocellular Carcinoma: Developing a Radiomics Nomogram.
    J Comput Assist Tomogr. 2023 Mar 7. doi: 10.1097/RCT.0000000000001448.
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    February 2023
  7. TOSHIMORI W, Matsuda M, Tsuda T, Takahashi Y, et al
    Comparisons of Hepatobiliary Phase Imaging Using Combinations of Parallel Imaging and Variable Degrees of Compressed Sensing With Use of Parallel Imaging Alone.
    J Comput Assist Tomogr. 2023 Feb 10. doi: 10.1097/RCT.0000000000001451.
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    January 2023
  8. ZHOU H, Yang G, Jing X, Zhou Y, et al
    Predictive Value of Ablative Margin Assessment After Microwave Ablation for Local Tumor Progression in Medium and Large Hepatocellular Carcinoma: Computed Tomography-Computed Tomography Image Fusion Method Versus Side-by-Side Method.
    J Comput Assist Tomogr. 2023;47:31-37.
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  9. CE M, Gibelli D, Martinenghi C, Ali M, et al
    Lesion or Pseudolesion? A Comprehensive Description of Perfusion-Based Liver Alterations on Contrast-Enhanced Computed Tomography and Literature Review.
    J Comput Assist Tomogr. 2023;47:9-23.
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  10. LIANG J, Zhang S, Han Z, Li Y, et al
    Comparative Study of Application of Computed Tomography/Ultrasound and Computed Tomography Imaging Guidance Methods in the Microwave Ablation of Liver Cancer.
    J Comput Assist Tomogr. 2023;47:24-30.
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    December 2022
  11. MO H, Huang R, Wei X, Huang L, et al
    Diagnosis of Metastatic Lymph Nodes in Patients With Hepatocellular Carcinoma Using Dual-Energy Computed Tomography.
    J Comput Assist Tomogr. 2022 Dec 27. doi: 10.1097/RCT.0000000000001429.
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    July 2022
  12. YOSHIDA N, Nakaura T, Morita K, Yoneyama M, et al
    Evaluating of the Quality of Hepatic Diffusion Weighted Imaging Using Multiband Imaging With Variable-Rate Selective Excitation.
    J Comput Assist Tomogr. 2022 Jul 13. pii: 00004728-990000000-00062.
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    June 2022
  13. KIRSHENBOIM Z, Marom EM, Mayer A, Green M, et al
    Liver Attenuation Assessment in Reduced Radiation Chest Computed Tomography.
    J Comput Assist Tomogr. 2022 Jun 4. pii: 00004728-990000000-00046.
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    May 2022
  14. HAZHIRKARZAR B, Shaghaghi M, Baghdadi A, Ghadimi M, et al
    Can Posttransarterial Chemoembolization Volumetric Oil Deposition on Computed Tomography Predict Treatment Response on Magnetic Resonance Imaging in Leiomyosarcoma Metastases to the Liver?
    J Comput Assist Tomogr. 2022;46:327-332.
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    April 2022
  15. SIM KC, Kim MJ, Cho Y, Kim HJ, et al
    Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver Disease.
    J Comput Assist Tomogr. 2022 Apr 27. pii: 00004728-990000000-00026.
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  16. LEE CM, Kang BK, Kim M
    Differentiation of Small Hepatic Abscess From Hepatic Metastasis With a Combination of Imaging Parameters.
    J Comput Assist Tomogr. 2022 Apr 26. pii: 00004728-990000000-00023.
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    March 2022
  17. MASUDA T, Nakaura T, Higaki T, Funama Y, et al
    Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software.
    J Comput Assist Tomogr. 2022;46:183-189.
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    January 2022
  18. MORILLO-HERNANDEZ C, Catania R, Grosse PJ, Bollino G, et al
    Magnetic Resonance Elastography of the Liver: A Single-Institution Review of Cases Performed in a 5-Year Interval.
    J Comput Assist Tomogr. 2022;46:1-5.
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    November 2021
  19. SZCZYKUTOWICZ TP, Viggiano B, Rose S, Pickhardt PJ, et al
    A Metric for Quantification of Iodine Contrast Enhancement (Q-ICE) in Computed Tomography.
    J Comput Assist Tomogr. 2021;45:870-876.
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    September 2021
  20. KIM Y, Hwang J, Hong SS, Kim HJ, et al
    Clinical Feasibility of High-Resolution Contrast-Enhanced Dynamic T1-Weighted Magnetic Resonance Imaging of the Upper Abdomen Using Compressed Sensing.
    J Comput Assist Tomogr. 2021;45:669-677.
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    August 2021
  21. CHO YS, Lee HY, Jeong JY, Lee JG, et al
    Computed Tomography-Determined Body Composition Abnormalities Usefully Predict Long-term Mortality in Patients With Liver Cirrhosis.
    J Comput Assist Tomogr. 2021 Aug 16. pii: 00004728-900000000-98881.
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  22. GONG H, Yu L, Leng S, Fletcher JG, et al
    Reader Performance as a Function of Patient Size for the Detection of Hepatic Metastases.
    J Comput Assist Tomogr. 2021 Aug 2. pii: 00004728-900000000-98897.
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    July 2021
  23. CORWIN MT, DiGeronimo RT, Navarro SM, Fananapazir G, et al
    Clinical Importance of Incidentally Detected Hyperenhancing Liver Observations on Portal Venous Phase Computed Tomography in Patients Without Known Malignancy or Liver Disease.
    J Comput Assist Tomogr. 2021;45:516-521.
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    May 2021
  24. CHU LC, Park S, Kawamoto S, Yuille AL, et al
    Current Status of Radiomics and Deep Learning in Liver Imaging.
    J Comput Assist Tomogr. 2021;45:343-351.
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