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Articles published in J Comput Assist Tomogr

Retrieve available abstracts of 17 articles:
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Single Articles

    May 2022
  1. 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.
    PubMed     Abstract available

    April 2022
  2. 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.
    PubMed     Abstract available

  3. 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.
    PubMed     Abstract available

    March 2022
  4. 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.
    PubMed     Abstract available

    January 2022
  5. 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.
    PubMed     Abstract available

    November 2021
  6. 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.
    PubMed     Abstract available

    September 2021
  7. 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.
    PubMed     Abstract available

    August 2021
  8. 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.
    PubMed     Abstract available

  9. 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.
    PubMed     Abstract available

    July 2021
  10. 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.
    PubMed     Abstract available

    May 2021
  11. 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.
    PubMed     Abstract available

    March 2021
  12. NARITA K, Nakamura Y, Higaki T, Nishihara T, et al
    Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images.
    J Comput Assist Tomogr. 2021 Mar 3. pii: 00004728-900000000-98940.
    PubMed     Abstract available

    November 2020
  13. ZHANG Q, Zhao Y, Wu J, Xie L, et al
    Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography.
    J Comput Assist Tomogr. 2020 Nov 12. doi: 10.1097/RCT.0000000000001112.
    PubMed     Abstract available

    September 2020
  14. CHOI JM, Yu JS, Cho ES, Kim JH, et al
    Texture Analysis of Hepatocellular Carcinoma on Magnetic Resonance Imaging: Assessment for Performance in Predicting Histopathologic Grade.
    J Comput Assist Tomogr. 2020 Sep 23. doi: 10.1097/RCT.0000000000001087.
    PubMed     Abstract available

    March 2020
  15. PUTTAGUNTA S, van der Pol CB, Ferri M, Sy Wat J, et al
    Diagnostic Accuracy of Single-Phase Computed Tomography Texture Analysis for Prediction of LI-RADS v2018 Category.
    J Comput Assist Tomogr. 2020;44:188-192.
    PubMed     Abstract available

  16. ABDEL RAZEK AAK, El-Serougy LG, Saleh GA, Shabana W, et al
    Liver Imaging Reporting and Data System Version 2018: What Radiologists Need to Know.
    J Comput Assist Tomogr. 2020;44:168-177.
    PubMed     Abstract available

  17. HAN P, Zhou Z, Wang R, Wang H, et al
    Quantitative Assessment of Extracellular Volume in Doxorubicin-Induced Liver Injury in Beagle Models by Equilibrium Computed Tomography.
    J Comput Assist Tomogr. 2020;44:204-208.
    PubMed     Abstract available

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