Title |
Liver Imaging Reporting and Data System: an expert consensus statement
|
---|---|
Published in |
Journal of Hepatocellular Carcinoma, February 2017
|
DOI | 10.2147/jhc.s125396 |
Pubmed ID | |
Authors |
Khaled M Elsayes, Ania Z Kielar, Michelle M Agrons, Janio Szklaruk, An Tang, Mustafa R Bashir, Donald G Mitchell, Richard K, Kathryn J Fowler, Victoria Chernyak, Claude B Sirlin |
Abstract |
The increasing incidence and high morbidity and mortality of hepatocellular carcinoma (HCC) have inspired the creation of the Liver Imaging Reporting and Data System (LI-RADS). LI-RADS aims to reduce variability in exam interpretation, improve communication, facilitate clinical therapeutic decisions, reduce omission of pertinent information, and facilitate the monitoring of outcomes. LI-RADS is a dynamic process, which is updated frequently. In this article, we describe the LI-RADS 2014 version (v2014), which marks the second update since the initial version in 2011. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 31% |
Other | 8 | 25% |
Student > Doctoral Student | 4 | 13% |
Lecturer | 1 | 3% |
Student > Ph. D. Student | 1 | 3% |
Other | 3 | 9% |
Unknown | 5 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 53% |
Arts and Humanities | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Mathematics | 1 | 3% |
Veterinary Science and Veterinary Medicine | 1 | 3% |
Other | 4 | 13% |
Unknown | 7 | 22% |