White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI

2018 ◽  
Vol 43 (10) ◽  
pp. 2625-2642 ◽  
Author(s):  
Khaled M. Elsayes ◽  
Ania Z. Kielar ◽  
Mohab M. Elmohr ◽  
Victoria Chernyak ◽  
William R. Masch ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
White Paper ◽  
Abdominal Radiology ◽  
Ct And Mri

Managing Incidental Findings on Abdominal and Pelvic CT and MRI, Part 2: White Paper of the ACR Incidental Findings Committee II on Vascular Findings

2013 ◽  
Vol 10 (10) ◽  
pp. 789-794 ◽  
Author(s):  
Faisal Khosa ◽  
Glenn Krinsky ◽  
Michael Macari ◽  
E. Kent Yucel ◽  
Lincoln L. Berland
Keyword(s):  
Incidental Findings ◽  
White Paper ◽  
Ct And Mri

scholarly journals The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ismail Bilal Masokano ◽  
Wenguang Liu ◽  
Simin Xie ◽  
Dama Faniriantsoa Henrio Marcellin ◽  
Yigang Pei ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Treatment Strategies ◽  
Specific Treatment ◽  
Texture Features ◽  
Imaging Protocol ◽  
Clinical Endpoints ◽  
Modeling Methods ◽  
Optimal Modeling ◽  
Ct And Mri

Abstract Recently, radiomic texture quantification of tumors has received much attention from radiologists, scientists, and stakeholders because several results have shown the feasibility of using the technique to diagnose and manage oncological conditions. In patients with hepatocellular carcinoma, radiomics has been applied in all stages of tumor evaluation, including diagnosis and characterization of the genotypic behavior of the tumor, monitoring of treatment responses and prediction of various clinical endpoints. It is also useful in selecting suitable candidates for specific treatment strategies. However, the clinical validation of hepatocellular carcinoma radiomics is limited by challenges in imaging protocol and data acquisition parameters, challenges in segmentation techniques, dimensionality reduction, and modeling methods. Identification of the best segmentation and optimal modeling methods, as well as texture features most stable to imaging protocol variability would go a long way in harmonizing HCC radiomics for personalized patient care. This article reviews the process of HCC radiomics, its clinical applications, associated challenges, and current optimization strategies.

CT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis

2020 ◽  
Vol 17 (10) ◽  
pp. 1199-1206 ◽  
Author(s):  
Sunyoung Lee ◽  
Yeun-Yoon Kim ◽  
Jaeseung Shin ◽  
Shin Hye Hwang ◽  
Yun Ho Roh ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Systematic Review ◽  
Meta Analysis ◽  
Data System ◽  
Liver Imaging ◽  
Ct And Mri

CT and MRI in target delineation in primary hepatocellular carcinoma

2013 ◽  
Vol 17 (8) ◽  
pp. 750-754 ◽  
Author(s):  
H.-Y. Chen ◽  
Y.-L. Hou ◽  
X.-M. Ma ◽  
H.-Y. Xie ◽  
M. Ye ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Primary Hepatocellular Carcinoma ◽  
Target Delineation ◽  
Ct And Mri
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