Main description:

Because the liver is a common site of metastatic spread, effective MR imaging of this organ is critically important for patients with cancer as well as those with chronic liver disease. In this issue of MRI Clinics, editors Khaled Elsayes (MD Anderson Cancer Center) and Claude Sirlin (UC San Diego Health's Liver Imaging Group) bring their considerable expertise to the topic of MR Imaging of Chronic Liver Diseases and Liver Cancer. Top experts in the field cover key topics such as artificial intelligence, diffuse liver disease, LI-RADS, and hepatocarcinogenesis.

Provides concise and comprehensive coverage of the issues physicians face every day.
Presents the latest information on a timely, focused topic under the leadership of experienced editors in the field.
Contains 14 relevant, practice-oriented topics including Chronic liver disease; What the hepatologists, oncologists and surgeons want to know from radiologists; CT techniques, protocols, advancements and the future?; Errors and misinterpretations in imaging of chronic liver diseases; and more.

Contents:

Chronic Liver Disease and Liver Cancer: What the Hepatologists, Oncologists, and Surgeons Want to Know from Radiologists
Role of Ultrasound for Chronic Liver Disease and Hepatocellular Carcinoma Surveillance
Contrast-Enhanced Ultrasound in Chronic Liver Diseases
Computed Tomography Techniques, Protocols, Advancements, and Future Directions in Liver Diseases
Abbreviated MR Protocols for Chronic Liver Disease and Liver Cancer
MR Imaging Contrast Agents: Role in Imaging of Chronic Liver Diseases
MR Imaging of Diffuse Liver Disease
Hepatocarcinogenesis: Radiology-Pathology Correlation
Liver Imaging Reporting and Data System Comprehensive Guide: MR Imaging Edition
Evaluation of Hepatocellular Carcinoma Treatment Response After Locoregional Therapy
Magnetic Resonance Imaging of Nonhepatocellular Malignancies in Chronic Liver Disease
Errors and Misinterpretations in Imaging of Chronic Liver Diseases
Magnetic Resonance Imaging of Liver Transplant
Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives