PURPOSE: We compared the diagnostic performances of the European Association for the Study of the Liver (EASL) 2018 and Liver Imaging Reporting and Data System (LI-RADS) 2018 criteria on magnetic resonance imaging (MRI) for the noninvasive diagnosis of hepatocellular carcinoma (HCC) in high-risk patients and evaluated the difference in diagnostic value between MRI with extracellular contrast agents (ECA-MRI) and MRI with hepatobiliary agents (HBA-MRI). METHODS: This study included 382 observations from 298 patients at high risk for HCC who underwent preoperative multiphasic contrast-enhanced MRI between January 2015 and December 2016. Two readers assessed all observations according to the EASL 2018 and LI-RADS 2018 criteria, and the pe...
Background: The reported diagnostic performance for hepatocellular carcinoma (HCC) of each major ima...
Objectives: We performed a meta-analysis to determine the probability of hepatocellular carcinoma (H...
OBJECTIVES: To compare interreader agreement and diagnostic accuracy of LI-RADS v2018 categorization...
Background/aims: This study aimed to compare the diagnostic performances of Liver Imaging Reporting ...
Objectives: To compare the performance of current guidelines applicable to the diagnosis of hepatoce...
Background: The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for stan...
Objective: To compare the performance of Liver Imaging Reporting and Data System category 5 (LR-5) f...
Objective: To evaluate the performance of the 2018 Korean Liver Cancer Association-National Cancer C...
BACKGROUND & AIMS: Non-invasive imaging is crucial for the early diagnosis and successful treatm...
Purpose. The purpose of this study was to assess and compare diagnostic ability of LI-RADS (LR) v. 2...
Purpose To evaluate the diagnostic accuracy of the Liver Imaging Reporting and Data System (LI-RADS)...
Objective: To intraindividually compare hepatocellular carcinoma (HCC) washout between MRIs using he...
Purpose: To determine the effectiveness of liver reporting and data system (LI-RADS) to diagnose hep...
International audienceBACKGROUND & AIMS:The aim of this study was to use a head-to-head nodule compa...
Objective: The purpose of this study was to evaluate the diagnostic performance of the Liver Imaging...
Background: The reported diagnostic performance for hepatocellular carcinoma (HCC) of each major ima...
Objectives: We performed a meta-analysis to determine the probability of hepatocellular carcinoma (H...
OBJECTIVES: To compare interreader agreement and diagnostic accuracy of LI-RADS v2018 categorization...
Background/aims: This study aimed to compare the diagnostic performances of Liver Imaging Reporting ...
Objectives: To compare the performance of current guidelines applicable to the diagnosis of hepatoce...
Background: The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for stan...
Objective: To compare the performance of Liver Imaging Reporting and Data System category 5 (LR-5) f...
Objective: To evaluate the performance of the 2018 Korean Liver Cancer Association-National Cancer C...
BACKGROUND & AIMS: Non-invasive imaging is crucial for the early diagnosis and successful treatm...
Purpose. The purpose of this study was to assess and compare diagnostic ability of LI-RADS (LR) v. 2...
Purpose To evaluate the diagnostic accuracy of the Liver Imaging Reporting and Data System (LI-RADS)...
Objective: To intraindividually compare hepatocellular carcinoma (HCC) washout between MRIs using he...
Purpose: To determine the effectiveness of liver reporting and data system (LI-RADS) to diagnose hep...
International audienceBACKGROUND & AIMS:The aim of this study was to use a head-to-head nodule compa...
Objective: The purpose of this study was to evaluate the diagnostic performance of the Liver Imaging...
Background: The reported diagnostic performance for hepatocellular carcinoma (HCC) of each major ima...
Objectives: We performed a meta-analysis to determine the probability of hepatocellular carcinoma (H...
OBJECTIVES: To compare interreader agreement and diagnostic accuracy of LI-RADS v2018 categorization...