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Articles published in
J Comput Assist Tomogr
    September 2025
  1. JENSEN CT, Wong VK, Likhari GS, Daoud TE, et al
    Novel Deep Learning Reconstruction to Augment Contrast Enhancement: Initial Evaluation.
    J Comput Assist Tomogr. 2025;49:698-704.
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  2. WANG H, Rubadeux D, Trout AT, Morin CE, et al
    Ultrasound-MRI Agreement in Individuals Undergoing Surveillance of Fontan-associated Liver Disease.
    J Comput Assist Tomogr. 2025;49:705-713.
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  3. HAN L, Zhang T, Liu X
    Multiparametric Dual-Energy CT for ALBI-Based Liver Function Stratification in Cirrhosis: Diagnostic Accuracy and Clinical Utility.
    J Comput Assist Tomogr. 2025 Sep 1. doi: 10.1097/RCT.0000000000001799.
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    August 2025
  4. MROUEH N, Cao J, Srinivas Rao S, Ghosh S, et al
    Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.
    J Comput Assist Tomogr. 2025 Aug 7. doi: 10.1097/RCT.0000000000001789.
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    July 2025
  5. SIDDIQI NS, Lin YM, Marques Silva JA, Laimer G, et al
    Minimal Ablative Margin Quantification Using Hepatic Arterial Versus Portal Venous Phase CT for Colorectal Metastases Segmentation: A Dual-center, Retrospective Analysis.
    J Comput Assist Tomogr. 2025 Jul 24. doi: 10.1097/RCT.0000000000001782.
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  6. SUN S, Yu Y, Xiao S, He Q, et al
    Heterogeneity Habitats -Derived Radiomics of Gd-EOB-DTPA Enhanced MRI for Predicting Proliferation of Hepatocellular Carcinoma.
    J Comput Assist Tomogr. 2025 Jul 2. doi: 10.1097/RCT.0000000000001769.
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    June 2025
  7. SHAH A, Morani AC, Tzeng CD, Sonbol MB, et al
    Hepatobiliary Tumor Board: A Multidisciplinary Review of Challenging Cases.
    J Comput Assist Tomogr. 2025 Jun 20. doi: 10.1097/RCT.0000000000001733.
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    May 2025
  8. LI YH, Qian GX, Zhu Y, Lei XD, et al
    An Integrated Model Combined Conventional Radiomics and Deep Learning Features to Predict Early Recurrence of Hepatocellular Carcinoma Eligible for Curative Ablation: A Multicenter Cohort Study.
    J Comput Assist Tomogr. 2025 May 6. doi: 10.1097/RCT.0000000000001764.
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  9. ZHU X, Zhu J, Sun C, Zhu F, et al
    Prediction of Local Tumor Progression After Thermal Ablation of Colorectal Cancer Liver Metastases Based on Magnetic Resonance Imaging Delta-Radiomics.
    J Comput Assist Tomogr. 2025;49:377-384.
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    March 2025
  10. DONG M, Chen F, Huang W, Liao Y, et al
    Multiregional Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma Using Multisequence MRI.
    J Comput Assist Tomogr. 2025 Mar 18. doi: 10.1097/RCT.0000000000001752.
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  11. SETIAWAN H, Ria F, Abadi E, Marin D, et al
    Development and Clinical Evaluation of a Contrast Optimizer for Contrast-Enhanced CT Imaging of the Liver.
    J Comput Assist Tomogr. 2025;49:239-246.
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    January 2025
  12. NOMURA M, Ohno Y, Ito Y, Kimata H, et al
    Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study.
    J Comput Assist Tomogr. 2025;49:23-33.
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    November 2024
  13. ZHU Y, Chen J, Cui W, Cui C, et al
    Preoperative Computed Tomography Radiomics-Based Models for Predicting Microvascular Invasion of Intrahepatic Mass-Forming Cholangiocarcinoma.
    J Comput Assist Tomogr. 2024 Nov 13. doi: 10.1097/RCT.0000000000001686.
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  14. YOON G, Ahn JH, Jeon SH
    Improving Image Quality and Visualization of Hepatocellular Carcinoma in Arterial Phase Imaging Using Contrast Enhancement-Boost Technique.
    J Comput Assist Tomogr. 2024 Nov 5. doi: 10.1097/RCT.0000000000001684.
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  15. KUTAIBA N, Tran A, Ashraf S, Con D, et al
    Computed Tomography-Derived Extracellular Volume Fraction and Splenic Size for Liver Fibrosis Staging.
    J Comput Assist Tomogr. 2024;48:837-843.
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  16. GINOCCHIO LA, Jaglan S, Tong A, Smereka PN, et al
    Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion Detection.
    J Comput Assist Tomogr. 2024;48:853-858.
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    September 2024
  17. DANE B, Mabud T, Melamud K, Ginocchio L, et al
    Reduced Intravenous Contrast Dose Portal Venous Phase Photon-Counting Computed Tomography Compared With Conventional Energy-Integrating Detector Portal Venous Phase Computed Tomography.
    J Comput Assist Tomogr. 2024;48:675-682.
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    July 2024
  18. COX V, Javle M, Sun J, Kang H, et al
    Radiogenomics of Intrahepatic Cholangiocarcinoma: Correlation of Imaging Features With BAP1 and FGFR Molecular Subtypes.
    J Comput Assist Tomogr. 2024 Jul 5. doi: 10.1097/RCT.0000000000001638.
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  19. JEPH S, Gupta S, Yedururi S, Daoud TE, et al
    Liver Imaging in Gastroenteropancreatic Neuroendocrine Neoplasms.
    J Comput Assist Tomogr. 2024;48:577-587.
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    May 2024
  20. NAGATA H, Iori H, Yoshida S, Kawashima H, et al
    Simultaneous Injection of Contrast and Saline Using Spiral Flow-Generating Tube for Hepatic Dynamic Computed Tomography: Effect on Enhancement of Liver Parenchyma and Metastases to the Liver.
    J Comput Assist Tomogr. 2024 May 28. doi: 10.1097/RCT.0000000000001620.
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  21. DI STASIO M, Cordopatri C, Nardi C, Busoni S, et al
    Liver Biliary Function Evaluation on a 1.5T Magnetic Resonance Imaging Scan by T1 Reduction Rate Assessment Using Variable-Flip-Angle Sequences.
    J Comput Assist Tomogr. 2024;48:354-360.
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    April 2024
  22. PEI J, Wang L, Li H
    Development of a Better Nomogram for Prediction of Preoperative Microvascular Invasion and Postoperative Prognosis in Hepatocellular Carcinoma Patients: A Comparison Study.
    J Comput Assist Tomogr. 2024 Apr 26. doi: 10.1097/RCT.0000000000001618.
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  23. ZANDIEH G, Yazdaninia I, Afyouni S, Shaghaghi M, et al
    Spectrum of Imaging Findings and Complications After Hepatic Transarterial Chemoembolization for Liver Tumors.
    J Comput Assist Tomogr. 2024 Apr 10. doi: 10.1097/RCT.0000000000001610.
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  24. JIANG T, Hu Y, Wang J, Li W, et al
    Fat-Poor Hepatic Angiomyolipoma in Noncirrhotic Livers: Imaging Features, Pathology, and Differential Diagnosis.
    J Comput Assist Tomogr. 2024 Apr 10. doi: 10.1097/RCT.0000000000001605.
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    January 2024
  25. BROWN MJ, Kolbe AB, Hull NC, Hilscher M, et al
    Imaging of Fontan-Associated Liver Disease.
    J Comput Assist Tomogr. 2024;48:1-11.
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  26. NGNITEWE MASSA'A R, Wawrzyn P, Mao L, Reeder SB, et al
    Apparent Variation in Measurement Size of Colorectal Cancer Metastases to the Liver on Dual Contrast MRI.
    J Comput Assist Tomogr. 2024;48:12-18.
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  27. DING KR, Lakshmanan S, Holda M, Kinninger A, et al
    Methods and Reproducibility of Liver Fat Measurement Using 3-Dimensional Liver Segmentation From Noncontrast Computed Tomography in EVAPORATE Cohort.
    J Comput Assist Tomogr. 2024;48:49-54.
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  28. ASMUNDO L, Rizzetto F, Sgrazzutti C, Carbonaro LA, et al
    Computed Tomography and Magnetic Resonance Imaging Signs of Chronic Liver Rejection: A Case-Control Study.
    J Comput Assist Tomogr. 2024;48:26-34.
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    November 2023
  29. YAMAKUNI R, Ishikawa H, Ishii S, Kakamu T, et al
    The Relationship Between Conventionally Obtained Serum-Based Liver Function Indices and Intravoxel Incoherent Motion Diffusion-Weighted Imaging and Magnetic Resonance Elastography in Patients With Hepatocellular Carcinoma.
    J Comput Assist Tomogr. 2023 Nov 14. doi: 10.1097/RCT.0000000000001561.
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    September 2023
  30. 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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