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Schemas

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.

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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

LI-RADS 2017: An update.

Ania Z Kielar¹, Victoria Chernyak², Mustafa R Bashir³

¹Royal Victoria Regional Health Center, Barrie, Ontario, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, Canada.

Journal of Magnetic Resonance Imaging : JMRI

|April 8, 2018

Summary

This summary is machine-generated.

The Liver Imaging Reporting & Data System (LI-RADS) standardizes CT/MRI for hepatocellular carcinoma (HCC) diagnosis. This review details the 2017 version, focusing on MRI updates and diagnostic algorithms for HCC probability.

Keywords:

LI-RADS MRI ancillary features hepatocellular carcinoma imaging features liver

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Area of Science:

Radiology
Oncology
Medical Imaging

Background:

Hepatocellular carcinoma (HCC) diagnosis relies on standardized imaging interpretation.
The Liver Imaging Reporting & Data System (LI-RADS) provides a common language for CT/MRI in HCC risk assessment.
Accurate HCC detection and characterization are crucial for patient management.

Purpose of the Study:

To provide an overview of the 2017 CT/MRI LI-RADS version, with a specific focus on MRI applications.
To highlight key updates and modifications in the 2017 LI-RADS diagnostic algorithm and ancillary features.
To compare LI-RADS with other major HCC diagnostic systems and outline future directions.

Main Methods:

Review of the 2017 CT/MRI LI-RADS guidelines and associated literature.
Description of LI-RADS categories, diagnostic algorithms, and ancillary features.
Comparative analysis of LI-RADS with alternative HCC diagnostic systems.

Main Results:

The 2017 LI-RADS version introduces specific updates to the diagnostic algorithm and ancillary features for MRI.
The system assigns category codes based on the probability of HCC or other malignancies.
New concepts including MRI nonviability and viability, and a Treatment Response algorithm are presented.

Conclusions:

The 2017 LI-RADS provides a refined framework for standardized HCC diagnosis using CT/MRI, particularly emphasizing MRI.
Understanding LI-RADS updates is essential for accurate interpretation and reporting of liver observations in at-risk patients.
Continued evolution of LI-RADS aims to improve diagnostic accuracy and patient outcomes in HCC management.