Current issue
Archive
Manuscripts accepted
About the journal
Editorial board
Abstracting and indexing
Contact
Instructions for authors
Ethical standards and procedures
Editorial System
Submit your Manuscript
|
1/2022
vol. 87 Gastrointestinal and abdominal radiology
abstract:
Original paper
Interrater reliability and agreement of the liver imaging reporting and data system (LI-RADS) v2018 for the evaluation of hepatic lesions
Ahmed S. Abdelrahman
1
,
Sherihan S. Madkour
1
,
Mena E.Y. Ekladious
1
1.
Department of Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
© Pol J Radiol 2022; 87: e316-e324
Online publish date: 2022/06/13
View full text
Get citation
ENW EndNote
BIB JabRef, Mendeley
RIS Papers, Reference Manager, RefWorks, Zotero
AMA
APA
Chicago
Harvard
MLA
Vancouver
Introduction
The liver imaging reporting and data system (LI-RADS) is a structured reporting system that categorizes hepatic observations according to major imaging features and lesion size, with an optional ancillary features contribution. This study aimed to evaluate inter-reader agreement of dynamic magnetic resonance imaging (MRI) using LI-RADS v2018 lexicon. Material and methods Forty-nine patients with 69 hepatic observations were included in our study. The major and ancillary features of each hepatic observation were evaluated by 2 radiologists using LI-RADS v2018, and the inter-reader agreement was allocated. Results The inter-reader agreement of major LI-RADS features was substantial; κ of non-rim arterial hyperenhancement, non-peripheral washout appearance, and enhancing capsule was 0.796, 0.799, and 0.772 (p < 0.001), respectively. The agreement of the final LI-RADS category was substantial with κ = 0.651 (p < 0.001), and weighted κ = 0.786 (p < 0.001). The inter-reader agreement of the ancillary features was substantial to almost perfect (κ range from 0.718 to 1; p < 0.001). An almost perfect correlation was noted for the hepatic lesion size measurement with ICC = 0.977 (p < 0.001). Conclusions The major and ancillary features of the LI-RADS v2018, as well as the final category and lesions size, have substantial to almost perfect inter-reader agreement. keywords:
LI-RADS, HCC, MRI, APHE |